From 573a2889ab1078a52490a6373ae197177ad91d7e Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Mon, 10 May 2021 09:11:07 -0400 Subject: [PATCH 01/31] Increment version number --- DESCRIPTION | 2 +- NEWS.md | 6 ++++++ 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 6e89da6f..a4bc3d5f 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: ffscrapr Title: API Client for Fantasy Football League Platforms -Version: 1.4.2 +Version: 1.4.2.00 Authors@R: c(person(given = "Tan", family = "Ho", diff --git a/NEWS.md b/NEWS.md index 26111ed8..3d59a8cf 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,9 @@ +# ffscrapr (development version) + + + +--- + # ffscrapr 1.4.2 The main goal of v1.4.2 is to patch some minor bugs. From 92376b20caca5efef767987b8898fdb07cdcfff8 Mon Sep 17 00:00:00 2001 From: Joe Flanagan Date: Wed, 26 May 2021 22:31:17 -0400 Subject: [PATCH 02/31] Adding season to ff league function (#288) * adding season to ff_league function Fixes #287 * setting all season to ints --- R/espn_league.R | 1 + R/flea_league.R | 1 + R/mfl_league.R | 1 + R/sleeper_league.R | 1 + README.md | 3 ++- 5 files changed, 6 insertions(+), 1 deletion(-) diff --git a/R/espn_league.R b/R/espn_league.R index 12942264..ae446be4 100644 --- a/R/espn_league.R +++ b/R/espn_league.R @@ -27,6 +27,7 @@ ff_league.espn_conn <- function(conn) { tibble::tibble( league_id = conn$league_id, league_name = league_endpoint$content$settings$name, + season = as.integer(conn$season), league_type = .espn_is_keeper(league_endpoint), franchise_count = franchise_count, qb_type = .espn_is_qbtype(league_endpoint)$type, diff --git a/R/flea_league.R b/R/flea_league.R index 368b95dd..6ddc0d58 100644 --- a/R/flea_league.R +++ b/R/flea_league.R @@ -20,6 +20,7 @@ ff_league.flea_conn <- function(conn) { tibble::tibble( league_id = as.character(conn$league_id), league_name = league_endpoint$league$name, + season = as.integer(conn$season), league_type = .flea_isdyno(league_endpoint), franchise_count = as.numeric(league_endpoint$league[["capacity"]]), qb_type = .flea_qbtype(league_endpoint)$type, diff --git a/R/mfl_league.R b/R/mfl_league.R index 450054b3..59622416 100644 --- a/R/mfl_league.R +++ b/R/mfl_league.R @@ -20,6 +20,7 @@ ff_league.mfl_conn <- function(conn) { tibble::tibble( league_id = conn$league_id, league_name = league_endpoint$name, + season = as.integer(conn$season), franchise_count = as.numeric(league_endpoint$franchises$count), qb_type = .mfl_is_qbtype(league_endpoint)$type, idp = .mfl_is_idp(league_endpoint), diff --git a/R/sleeper_league.R b/R/sleeper_league.R index 312b705a..38aec6d9 100644 --- a/R/sleeper_league.R +++ b/R/sleeper_league.R @@ -31,6 +31,7 @@ ff_league.sleeper_conn <- function(conn) { tibble::tibble( league_id = as.character(conn$league_id), league_name = league_endpoint$name, + season = as.integer(conn$season), league_type = .sleeper_isdyno(league_endpoint), franchise_count = as.numeric(league_endpoint$total_rosters), qb_type = .sleeper_qbtype(starting_positions)$type, diff --git a/README.md b/README.md index 063177d1..bdd72ded 100644 --- a/README.md +++ b/README.md @@ -64,9 +64,10 @@ ff_league(ssb) %>% str() #> Using request.R from "ffscrapr" #> No encoding supplied: defaulting to UTF-8. #> No encoding supplied: defaulting to UTF-8. -#> tibble [1 x 13] (S3: tbl_df/tbl/data.frame) +#> tibble [1 x 14] (S3: tbl_df/tbl/data.frame) #> $ league_id : chr "54040" #> $ league_name : chr "The Super Smash Bros Dynasty League" +#> $ season : int 2020 #> $ franchise_count: num 14 #> $ qb_type : chr "1QB" #> $ idp : logi FALSE From 1c164ceaf496456b4c5e86d24efff31c9ee87f47 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Wed, 26 May 2021 22:36:47 -0400 Subject: [PATCH 03/31] v1.4.2.01 - add season to ff_league()` --- DESCRIPTION | 2 +- NEWS.md | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index a4bc3d5f..84ade524 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: ffscrapr Title: API Client for Fantasy Football League Platforms -Version: 1.4.2.00 +Version: 1.4.2.01 Authors@R: c(person(given = "Tan", family = "Ho", diff --git a/NEWS.md b/NEWS.md index 3d59a8cf..5f4b6e9d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,6 +1,8 @@ # ffscrapr (development version) +## Minor changes +- `ff_league()` now has a column that returns the platform's season - this is most useful when running ff_league in batch. Thank you to @joeflan for the contribution! (Fixes #287) (v1.4.2.01) --- From 2f05e6f84fa8441caae9a44a3aa9c155e646a813 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Wed, 26 May 2021 22:37:51 -0400 Subject: [PATCH 04/31] update test cache to dev version --- README.Rmd | 6 +++--- tests/testthat/setup.R | 6 +++--- tests/testthat/test-ff_scoringhistory.R | 4 ++-- vignettes/espn_basics.Rmd | 6 +++--- vignettes/espn_getendpoint.Rmd | 6 +++--- vignettes/ffscrapr_scoringhistory.Rmd | 4 ++-- vignettes/fleaflicker_basics.Rmd | 6 +++--- vignettes/fleaflicker_getendpoint.Rmd | 6 +++--- vignettes/mfl_basics.Rmd | 6 +++--- vignettes/mfl_getendpoint.Rmd | 6 +++--- vignettes/sleeper_basics.Rmd | 6 +++--- vignettes/sleeper_getendpoint.Rmd | 6 +++--- 12 files changed, 34 insertions(+), 34 deletions(-) diff --git a/README.Rmd b/README.Rmd index 7b210f89..8c0c54d1 100644 --- a/README.Rmd +++ b/README.Rmd @@ -23,10 +23,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -109,5 +109,5 @@ The APIs and data accessed by this package belong to their respective owners, an ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-1.4.2","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/tests/testthat/setup.R b/tests/testthat/setup.R index fff492e5..6c31d7ec 100644 --- a/tests/testthat/setup.R +++ b/tests/testthat/setup.R @@ -15,13 +15,13 @@ skip <- FALSE if (download_mock) { tryCatch( expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip", "f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip", "f.zip") unzip("f.zip", exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2") + httptest::.mockPaths(new = "ffscrapr-tests-main") withr::defer( - unlink(c("ffscrapr-tests-1.4.2", "f.zip"), recursive = TRUE, force = TRUE), + unlink(c("ffscrapr-tests-main", "f.zip"), recursive = TRUE, force = TRUE), testthat::teardown_env() ) }, diff --git a/tests/testthat/test-ff_scoringhistory.R b/tests/testthat/test-ff_scoringhistory.R index c12c8afc..2aae334c 100644 --- a/tests/testthat/test-ff_scoringhistory.R +++ b/tests/testthat/test-ff_scoringhistory.R @@ -4,9 +4,9 @@ with_mock_api({ if (!identical(Sys.getenv("MOCK_BYPASS"), "true")) { testthat::local_mock( - nflfastr_weekly = function() readRDS("ffscrapr-tests-1.4.2/gh_nflfastr/player_stats.rds"), + nflfastr_weekly = function() readRDS("ffscrapr-tests-main/gh_nflfastr/player_stats.rds"), nflfastr_rosters = function(seasons) { - purrr::map_df(seasons, ~ readRDS(glue::glue("ffscrapr-tests-1.4.2/gh_nflfastr/roster_{.x}.rds"))) + purrr::map_df(seasons, ~ readRDS(glue::glue("ffscrapr-tests-main/gh_nflfastr/roster_{.x}.rds"))) } ) } diff --git a/vignettes/espn_basics.Rmd b/vignettes/espn_basics.Rmd index 90bbb764..e38ba0a7 100644 --- a/vignettes/espn_basics.Rmd +++ b/vignettes/espn_basics.Rmd @@ -20,10 +20,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -158,6 +158,6 @@ In this vignette, I've used only a few functions: ff_connect, ff_league, ff_rost ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-1.4.2","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/espn_getendpoint.Rmd b/vignettes/espn_getendpoint.Rmd index b38b71fe..febca384 100644 --- a/vignettes/espn_getendpoint.Rmd +++ b/vignettes/espn_getendpoint.Rmd @@ -20,10 +20,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -153,5 +153,5 @@ Many of the API endpoints are being researched in other languages and you might ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-1.4.2","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/ffscrapr_scoringhistory.Rmd b/vignettes/ffscrapr_scoringhistory.Rmd index 73988f1a..61bd300b 100644 --- a/vignettes/ffscrapr_scoringhistory.Rmd +++ b/vignettes/ffscrapr_scoringhistory.Rmd @@ -20,10 +20,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) diff --git a/vignettes/fleaflicker_basics.Rmd b/vignettes/fleaflicker_basics.Rmd index 603bd541..67c019d9 100644 --- a/vignettes/fleaflicker_basics.Rmd +++ b/vignettes/fleaflicker_basics.Rmd @@ -21,10 +21,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -160,6 +160,6 @@ In this vignette, I've used only a few functions: ff_connect, ff_league, ff_rost ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-1.4.2","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/fleaflicker_getendpoint.Rmd b/vignettes/fleaflicker_getendpoint.Rmd index ca11ccf5..7a7a4e46 100644 --- a/vignettes/fleaflicker_getendpoint.Rmd +++ b/vignettes/fleaflicker_getendpoint.Rmd @@ -20,10 +20,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -121,6 +121,6 @@ From here, you can keep unravelling - including the "viewingActualPoints" and "v ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-1.4.2","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/mfl_basics.Rmd b/vignettes/mfl_basics.Rmd index 2b65e593..7b024613 100644 --- a/vignettes/mfl_basics.Rmd +++ b/vignettes/mfl_basics.Rmd @@ -20,10 +20,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -155,6 +155,6 @@ Now that you've gotten this far, why not check out some of the other possibiliti ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-1.4.2","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/mfl_getendpoint.Rmd b/vignettes/mfl_getendpoint.Rmd index 4c39256f..e3ff61f5 100644 --- a/vignettes/mfl_getendpoint.Rmd +++ b/vignettes/mfl_getendpoint.Rmd @@ -20,10 +20,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -103,5 +103,5 @@ head(fog_tradebait) ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-1.4.2","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/sleeper_basics.Rmd b/vignettes/sleeper_basics.Rmd index 1da9e735..375876a6 100644 --- a/vignettes/sleeper_basics.Rmd +++ b/vignettes/sleeper_basics.Rmd @@ -21,10 +21,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -165,6 +165,6 @@ In this vignette, I've used ~three functions: ff_connect, ff_league, and ff_rost ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-1.4.2","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/sleeper_getendpoint.Rmd b/vignettes/sleeper_getendpoint.Rmd index 02d3b1d0..1ea4504a 100644 --- a/vignettes/sleeper_getendpoint.Rmd +++ b/vignettes/sleeper_getendpoint.Rmd @@ -20,10 +20,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-1.4.2")}, + httptest::.mockPaths(new = "ffscrapr-tests-main")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -93,6 +93,6 @@ There - this means something to us now! As of this writing (2020-11-10), Kalen B ```{r include = FALSE, eval = eval} httptest::stop_mocking() -unlink(c("ffscrapr-tests-1.4.2","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) ``` From dd316632e813dc9afe107d55bb84aac9cb6630e2 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Wed, 26 May 2021 23:35:14 -0400 Subject: [PATCH 05/31] add test version switching script --- .Rbuildignore | 1 - dev/switch_test_cache.R | 38 ++++++++++++++++++++++++++++++++++++++ 2 files changed, 38 insertions(+), 1 deletion(-) create mode 100644 dev/switch_test_cache.R diff --git a/.Rbuildignore b/.Rbuildignore index a4c37cec..50314ba1 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -11,5 +11,4 @@ ^README\.Rmd$ ^cran-comments\.md$ ^CRAN-RELEASE$ - ^data-raw$ diff --git a/dev/switch_test_cache.R b/dev/switch_test_cache.R new file mode 100644 index 00000000..c7141c03 --- /dev/null +++ b/dev/switch_test_cache.R @@ -0,0 +1,38 @@ +library(xfun) + +paths <- c( + "ffscrapr-tests-1.4.2", + "ffscrapr-tests-main", + "https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip", + "https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.2.zip" +) + +use_ffscrapr_tests_main <- function(){ + + gsub_dir("archive/[0-9,\\.]+\\.zip", "archive/main.zip", dir = "tests",recursive = TRUE, ext = c("R","Rmd")) + gsub_dir("archive/[0-9,\\.]+\\.zip", "archive/main.zip", dir = "vignettes",recursive = TRUE, ext = c("R","Rmd")) + + gsub_dir("ffscrapr\\-tests\\-[0-9\\.]+", "ffscrapr-tests-main", dir = "tests", recursive = TRUE, ext = c("R","Rmd")) + gsub_dir("ffscrapr\\-tests\\-[0-9\\.]+", "ffscrapr-tests-main", dir = "vignettes", recursive = TRUE, ext = c("R","Rmd")) + + message("Check your version control now!") + invisible() +} + +# use_ffscrapr_tests_main() + +use_ffscrapr_tests_version <- function(version){ + + stopifnot(length(version)==1) + + gsub_dir("archive/main", paste0("archive/",version), dir = "tests", ext = c("R","Rmd"),recursive = TRUE) + gsub_dir("archive/main", paste0("archive/",version), dir = "vignettes", ext = c("R","Rmd"),recursive = TRUE) + + gsub_dir("ffscrapr\\-tests\\-main", paste0("ffscrapr-tests-",version), dir = "tests", ext = c("R","Rmd"), recursive = TRUE) + gsub_dir("ffscrapr\\-tests\\-main", paste0("ffscrapr-tests-",version), dir = "vignettes", ext = c("R","Rmd"), recursive = TRUE) + + message("Check your version control now!") + invisible() +} + +# use_ffscrapr_tests_version('1.4.2') From 0dd57a12bb660a219e27b600975a16f32166d886 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Wed, 26 May 2021 23:36:15 -0400 Subject: [PATCH 06/31] bumpver - add test cache switch helper --- DESCRIPTION | 2 +- NEWS.md | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 84ade524..669ab2bf 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: ffscrapr Title: API Client for Fantasy Football League Platforms -Version: 1.4.2.01 +Version: 1.4.2.02 Authors@R: c(person(given = "Tan", family = "Ho", diff --git a/NEWS.md b/NEWS.md index 5f4b6e9d..4c0ebdf4 100644 --- a/NEWS.md +++ b/NEWS.md @@ -3,6 +3,7 @@ ## Minor changes - `ff_league()` now has a column that returns the platform's season - this is most useful when running ff_league in batch. Thank you to @joeflan for the contribution! (Fixes #287) (v1.4.2.01) +- Added helper script in dev/ for switching between test cache versions. (v1.4.2.02) --- From 0e7cdd57b41bfe77e3aac209ddb7228395950334 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Tue, 1 Jun 2021 11:37:56 -0400 Subject: [PATCH 07/31] update spacing --- dev/switch_test_cache.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dev/switch_test_cache.R b/dev/switch_test_cache.R index c7141c03..defc9267 100644 --- a/dev/switch_test_cache.R +++ b/dev/switch_test_cache.R @@ -25,8 +25,8 @@ use_ffscrapr_tests_version <- function(version){ stopifnot(length(version)==1) - gsub_dir("archive/main", paste0("archive/",version), dir = "tests", ext = c("R","Rmd"),recursive = TRUE) - gsub_dir("archive/main", paste0("archive/",version), dir = "vignettes", ext = c("R","Rmd"),recursive = TRUE) + gsub_dir("archive/main", paste0("archive/",version), dir = "tests", ext = c("R","Rmd"), recursive = TRUE) + gsub_dir("archive/main", paste0("archive/",version), dir = "vignettes", ext = c("R","Rmd"), recursive = TRUE) gsub_dir("ffscrapr\\-tests\\-main", paste0("ffscrapr-tests-",version), dir = "tests", ext = c("R","Rmd"), recursive = TRUE) gsub_dir("ffscrapr\\-tests\\-main", paste0("ffscrapr-tests-",version), dir = "vignettes", ext = c("R","Rmd"), recursive = TRUE) From 7874f672a6f88b8dd24420c0d5da963b88afff65 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Tue, 1 Jun 2021 12:01:05 -0400 Subject: [PATCH 08/31] 1.4.2.03 - extend ff_schedule to cover playoff weeks --- DESCRIPTION | 2 +- NEWS.md | 1 + R/sleeper_schedule.R | 18 +++++++++--------- 3 files changed, 11 insertions(+), 10 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 669ab2bf..0a6492cb 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: ffscrapr Title: API Client for Fantasy Football League Platforms -Version: 1.4.2.02 +Version: 1.4.2.03 Authors@R: c(person(given = "Tan", family = "Ho", diff --git a/NEWS.md b/NEWS.md index 4c0ebdf4..c7218239 100644 --- a/NEWS.md +++ b/NEWS.md @@ -4,6 +4,7 @@ - `ff_league()` now has a column that returns the platform's season - this is most useful when running ff_league in batch. Thank you to @joeflan for the contribution! (Fixes #287) (v1.4.2.01) - Added helper script in dev/ for switching between test cache versions. (v1.4.2.02) +- `ff_schedule()` for Sleeper now should extend into playoff weeks. (Fixes #289) (v1.4.2.03) --- diff --git a/R/sleeper_schedule.R b/R/sleeper_schedule.R index 56f7699b..35ab8d1c 100644 --- a/R/sleeper_schedule.R +++ b/R/sleeper_schedule.R @@ -22,7 +22,9 @@ ff_schedule.sleeper_conn <- function(conn, ...) { last_scored_week <- sleeper_getendpoint(league_path) %>% purrr::pluck("content", "settings", "last_scored_leg") - weeks <- seq_len(regular_season_end) + max_week <- max(c(regular_season_end, last_scored_week), na.rm = TRUE) + + weeks <- seq_len(max_week) matchups <- purrr::map_dfr(weeks, .sleeper_matchup, conn, last_scored_week) @@ -49,14 +51,12 @@ ff_schedule.sleeper_conn <- function(conn, ...) { df_matchups <- df_matchup %>% dplyr::left_join( - dplyr::select( - df_matchup, - dplyr::any_of(c( - "opponent_id" = "franchise_id", - "opponent_score" = "franchise_score", - "matchup_id" - )) - ), + dplyr::select(df_matchup, + dplyr::any_of(c( + "opponent_id" = "franchise_id", + "opponent_score" = "franchise_score", + "matchup_id"))) %>% + dplyr::filter(!is.na(matchup_id)), by = "matchup_id" ) %>% dplyr::filter(.data$franchise_id != .data$opponent_id) %>% From a558b7e787dac9882b6fe62aa6b3ecd8723e85eb Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Wed, 2 Jun 2021 18:41:59 -0400 Subject: [PATCH 09/31] add sleeper auction amounts column, fixes #291 --- DESCRIPTION | 2 +- NEWS.md | 1 + R/sleeper_draft.R | 1 + R/sleeper_draftpicks.R | 13 +++++++++++-- tests/testthat/test-ff_draft.R | 5 +++++ 5 files changed, 19 insertions(+), 3 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 0a6492cb..5df5cdd4 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: ffscrapr Title: API Client for Fantasy Football League Platforms -Version: 1.4.2.03 +Version: 1.4.2.04 Authors@R: c(person(given = "Tan", family = "Ho", diff --git a/NEWS.md b/NEWS.md index c7218239..164ed817 100644 --- a/NEWS.md +++ b/NEWS.md @@ -5,6 +5,7 @@ - `ff_league()` now has a column that returns the platform's season - this is most useful when running ff_league in batch. Thank you to @joeflan for the contribution! (Fixes #287) (v1.4.2.01) - Added helper script in dev/ for switching between test cache versions. (v1.4.2.02) - `ff_schedule()` for Sleeper now should extend into playoff weeks. (Fixes #289) (v1.4.2.03) +- `ff_draft()` for Sleeper now has an auction_amount column if it is an auction draft. (Fixes #291) (v1.4.2.04) --- diff --git a/R/sleeper_draft.R b/R/sleeper_draft.R index 4d7f3f83..dfef24e5 100644 --- a/R/sleeper_draft.R +++ b/R/sleeper_draft.R @@ -35,6 +35,7 @@ ff_draft.sleeper_conn <- function(conn, ...) { "season", "round", "pick", + "auction_amount", "franchise_id", "franchise_name", "player_id", diff --git a/R/sleeper_draftpicks.R b/R/sleeper_draftpicks.R index 8b62de97..23dc25a4 100644 --- a/R/sleeper_draftpicks.R +++ b/R/sleeper_draftpicks.R @@ -51,8 +51,17 @@ ff_draftpicks.sleeper_conn <- function(conn, ...) { picks <- glue::glue("draft/{draft_id}/picks") %>% sleeper_getendpoint() %>% purrr::pluck("content") %>% - purrr::map_dfr(`[`, c("round", "draft_slot", "roster_id", "player_id")) %>% - dplyr::select(dplyr::any_of(c("round", "pick" = "draft_slot", "franchise_id" = "roster_id", "player_id"))) + purrr::map(`[`, c("round", "draft_slot", "roster_id", "player_id", "metadata")) %>% + tibble::tibble() %>% + tidyr::unnest_wider(1) %>% + tidyr::hoist("metadata","auction_amount"="amount") %>% + dplyr::select(dplyr::any_of(c("round", "pick" = "draft_slot", "franchise_id" = "roster_id", "player_id","auction_amount"))) + + if(all(is.na(picks$auction_amount))) { + picks$auction_amount <- NULL + } else { + picks$auction_amount <- as.numeric(picks$auction_amount) + } return(picks) } diff --git a/tests/testthat/test-ff_draft.R b/tests/testthat/test-ff_draft.R index f6f742c3..ca1965cb 100644 --- a/tests/testthat/test-ff_draft.R +++ b/tests/testthat/test-ff_draft.R @@ -17,6 +17,11 @@ with_mock_api({ expect_tibble(jml_draftresults, min.rows = 40) + auction_conn <- ff_connect(platform = "sleeper", league_id = "695482984576385024", season = 2021) + auction_draftresults <- ff_draft(auction_conn) + + expect_tibble(auction_draftresults, min.rows = 250) + joe_conn <- fleaflicker_connect(season = 2020, league_id = 206154) joe_draftresults <- ff_draft(joe_conn) From a38731b4c34bb5385165b8b55b3df7f13c416e4c Mon Sep 17 00:00:00 2001 From: Tan Ho <38083823+tanho63@users.noreply.github.com> Date: Thu, 3 Jun 2021 14:12:21 -0400 Subject: [PATCH 10/31] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index bdd72ded..0a4acdda 100644 --- a/README.md +++ b/README.md @@ -19,6 +19,7 @@ coverage](https://img.shields.io/codecov/c/github/dynastyprocess/ffscrapr?label= status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/R-CMD-check?label=R%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) [![API status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/Test%20APIs?label=API%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) +[![nflverse discord](https://img.shields.io/discord/591914197219016707.svg?color=5865F2&label=nflverse%20discord&logo=discord&logoColor=5865F2&style=flat-square)](https://discord.com/invite/5Er2FBnnQa) From b45214d1fb2b70c65eb30c5af67cf82c5042157a Mon Sep 17 00:00:00 2001 From: Tan Ho <38083823+tanho63@users.noreply.github.com> Date: Thu, 3 Jun 2021 14:12:41 -0400 Subject: [PATCH 11/31] Update README.Rmd --- README.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.Rmd b/README.Rmd index 8c0c54d1..b9b9a652 100644 --- a/README.Rmd +++ b/README.Rmd @@ -39,7 +39,7 @@ httptest::use_mock_api() -[![CRAN status](https://img.shields.io/cran/v/ffscrapr?style=flat-square&logo=R&label=CRAN)](https://CRAN.R-project.org/package=ffscrapr) [![Dev status](https://img.shields.io/github/r-package/v/dynastyprocess/ffscrapr/dev?label=dev&style=flat-square&logo=github)](https://ffscrapr.dynastyprocess.com/dev/) [![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-green.svg?style=flat-square)](https://lifecycle.r-lib.org/articles/stages.html) [![Codecov test coverage](https://img.shields.io/codecov/c/github/dynastyprocess/ffscrapr?label=codecov&style=flat-square&logo=codecov)](https://codecov.io/gh/DynastyProcess/ffscrapr?branch=main) [![R build status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/R-CMD-check?label=R%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) [![API status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/Test%20APIs?label=API%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) +[![CRAN status](https://img.shields.io/cran/v/ffscrapr?style=flat-square&logo=R&label=CRAN)](https://CRAN.R-project.org/package=ffscrapr) [![Dev status](https://img.shields.io/github/r-package/v/dynastyprocess/ffscrapr/dev?label=dev&style=flat-square&logo=github)](https://ffscrapr.dynastyprocess.com/dev/) [![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-green.svg?style=flat-square)](https://lifecycle.r-lib.org/articles/stages.html) [![Codecov test coverage](https://img.shields.io/codecov/c/github/dynastyprocess/ffscrapr?label=codecov&style=flat-square&logo=codecov)](https://codecov.io/gh/DynastyProcess/ffscrapr?branch=main) [![R build status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/R-CMD-check?label=R%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) [![API status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/Test%20APIs?label=API%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) [![nflverse discord](https://img.shields.io/discord/591914197219016707.svg?color=5865F2&label=nflverse%20discord&logo=discord&logoColor=5865F2&style=flat-square)](https://discord.com/invite/5Er2FBnnQa) From 676d664d37b37a4ddf6259820dc31d6e666d7e70 Mon Sep 17 00:00:00 2001 From: Tan Ho <38083823+tanho63@users.noreply.github.com> Date: Sat, 5 Jun 2021 02:12:59 -0400 Subject: [PATCH 12/31] upgrades to dp_cleannames - fixes #284 (#293) * add dp_cleannames work * update version - 1.4.2.05 - cleannames upgrades * tutu spelling bad --- DESCRIPTION | 2 +- NEWS.md | 1 + R/1_import_dp.R | 36 ++++++++++++++++--- data-raw/mismatches.csv | 59 ++++++++++++++++++++++++++++++++ data-raw/usedata_namemapping.R | 7 ++++ data/dp_name_mapping.rda | Bin 0 -> 1041 bytes man/dp_cleannames.Rd | 18 +++++++++- man/dp_name_mapping.Rd | 20 +++++++++++ tests/testthat/test-import_dp.R | 15 +++++++- 9 files changed, 151 insertions(+), 7 deletions(-) create mode 100644 data-raw/mismatches.csv create mode 100644 data-raw/usedata_namemapping.R create mode 100644 data/dp_name_mapping.rda create mode 100644 man/dp_name_mapping.Rd diff --git a/DESCRIPTION b/DESCRIPTION index 5df5cdd4..da4e654e 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: ffscrapr Title: API Client for Fantasy Football League Platforms -Version: 1.4.2.04 +Version: 1.4.2.05 Authors@R: c(person(given = "Tan", family = "Ho", diff --git a/NEWS.md b/NEWS.md index 164ed817..0ef13f1f 100644 --- a/NEWS.md +++ b/NEWS.md @@ -6,6 +6,7 @@ - Added helper script in dev/ for switching between test cache versions. (v1.4.2.02) - `ff_schedule()` for Sleeper now should extend into playoff weeks. (Fixes #289) (v1.4.2.03) - `ff_draft()` for Sleeper now has an auction_amount column if it is an auction draft. (Fixes #291) (v1.4.2.04) +- `dp_cleannames()` now can flip names originally presented in LastName, FirstName order into First Last, and also has a custom name database to convert common alternate names to a unified one. (v1.4.2.05) --- diff --git a/R/1_import_dp.R b/R/1_import_dp.R index 339fb239..d860f1ab 100644 --- a/R/1_import_dp.R +++ b/R/1_import_dp.R @@ -76,25 +76,53 @@ dp_playerids <- function() { #' #' @param player_name a character (or character vector) #' @param lowercase defaults to FALSE - if TRUE, converts to lowercase +#' @param convert_lastfirst converts names from "Last, First" to "First Last" (i.e. MFL style) +#' @param use_name_database uses internal name database to do common substitutions (Mitchell Trubisky to Mitch Trubisky etc) #' #' @examples #' \donttest{ #' dp_cleannames(c("A.J. Green", "Odell Beckham Jr.", "Le'Veon Bell Sr.")) +#' +#' dp_cleannames(c("Trubisky, Mitch", "Atwell, Chartarius", "Elliott, Zeke", "Roethlisberger, Ben"), +#' convert_lastfirst = TRUE, +#' use_name_database = TRUE) #' } #' +#' @seealso +#' #' @return a character vector of cleaned names #' #' @export -dp_cleannames <- function(player_name, lowercase = FALSE) { - checkmate::assert_logical(lowercase) +dp_cleannames <- function(player_name, lowercase = FALSE, convert_lastfirst = FALSE, use_name_database = TRUE) { checkmate::assert_character(player_name) + checkmate::assert_flag(lowercase) + checkmate::assert_flag(convert_lastfirst) + checkmate::assert_flag(use_name_database) + + n <- player_name - n <- stringr::str_remove_all(player_name, "( Jr\\.$)|( Sr\\.$)|( III$)|( II$)|( IV$)|( V$)|(\\')|(\\.)") + if(convert_lastfirst) n <- stringr::str_replace_all(n, "^(.+), (.+)$", "\\2 \\1") - if (lowercase) n <- tolower(n) + n <- stringr::str_remove_all(n, "( Jr\\.$)|( Sr\\.$)|( III$)|( II$)|( IV$)|( V$)|(\\')|(\\.)") n <- stringr::str_squish(n) + if(use_name_database) n <- unname(dplyr::coalesce(dp_name_mapping[n],n)) + + if(lowercase) n <- tolower(n) + return(n) } + +#' Alternate name mappings +#' +#' A named character vector mapping common alternate names +#' +#' @format A named character vector +#' \describe{ +#' \item{name attribute}{The name of each element of the vector is the "alternate" name} +#' \item{value attribute}{The value of each element of the vector is the "correct" name.} +#' } +#' +"dp_name_mapping" diff --git a/data-raw/mismatches.csv b/data-raw/mismatches.csv new file mode 100644 index 00000000..02dac16f --- /dev/null +++ b/data-raw/mismatches.csv @@ -0,0 +1,59 @@ +correct_name,alt_name +Alex Armah,Alexander Armah +Andrew Van Ginkel,AndrewVanGinkel +Arthur Maulet,Art Maulet +Blessuan Austin,Bless Austin +Brandon Rusnak,Brandon Watson +Cam Batson,Cameron Batson +Cam Johnston,Cameron Johnston +Cam Lewis,Cameron Lewis +Chris Herndon,Christopher Herndon +Chris Jones,Christion Jones +CJ Gardner-Johnson,Chauncey Gardner-Johnson +CreVon LeBlanc,Crevon LeBlanc +DaQuan Jones,Daquan Jones +Darnay Holmes,Darney Holmes +DaRon Payne,Daron Payne +Davon Hamilton,DaVon Hamilton +DeMarcus Lawrence,Demarcus Lawrence +DeVante Parker,Devante Parker +DeVonta Smith,Devonta Smith +Ezekiel Elliott,Zeke Elliott +Ezekiel Turner,Zeke Turner +Folorunso Fatukasi,Foley Fatukasi +HaHa Clinton-Dix,Hasean Clinton-Dix +HaHa Clinton-Dix,HaSean Clinton-Dix +Jacob Dolegala,Jake Dolegala +Jacob Martin,Jake Martin +JaMycal Hasty,Jamycal Hasty +Jeff Wilson,Jeffery Wilson +Jody Fortson,Joe Fortson +Jon Brown,Jonathan Brown +Joshua Perkins,Josh Perkins +KhaDarel Hodge,Khadarel Hodge +LaMical Perine,Lamical Perine +LeVante Bellamy,Levante Bellamy +Matthew Judon,Matt Judon +Matthew Slater,Matt Slater +Michael Badgley,Mike Badgley +Michael Jordan,Mike Jordan +Mitchell Trubisky,Mitch Trubisky +Nate Gerry,Nathan Gerry +Nick Westbrook-Ikhine,Nick Westbrook +Nick Williams,Nicholas Williams +Nickell Robey-Coleman,Nickell Robey +Ola Adeniyi,Olasunkanmi Adeniyi +PJ Walker,Phillip Walker +Rudy Ford,Johnathan Ford +Scott Miller,Scotty Miller +Sean Murphy-Bunting,Sean Bunting +Sebastian Joseph-Day,Sebastian Joseph +Shaquil Barrett,Shaq Barrett +Shaquill Griffin,Shaq Griffin +Steve McLendon,Steve Mclendon +Steven Hauschka,Stephen Hauschka +TJ Carrie,Travis Carrie +Ugo Amadi,Ugochukwu Amadi +Tutu Atwell,Chatarius Atwell +Odafe Oweh,Jayson Oweh +Rob Kelley,Robert Kelley diff --git a/data-raw/usedata_namemapping.R b/data-raw/usedata_namemapping.R new file mode 100644 index 00000000..f2eebba5 --- /dev/null +++ b/data-raw/usedata_namemapping.R @@ -0,0 +1,7 @@ +library(tidyverse) +# Import Name Mapping CSV +dp_name_mapping <- read.csv("data-raw/mismatches.csv") %>% + dplyr::select(alt_name, correct_name) %>% + tibble::deframe() + +use_data(dp_name_mapping, overwrite = TRUE) diff --git a/data/dp_name_mapping.rda b/data/dp_name_mapping.rda new file mode 100644 index 0000000000000000000000000000000000000000..06972cbcfb67ebb49355b7778ccb1b01f37816a7 GIT binary patch literal 1041 zcmV+s1n&DnT4*^jL0KkKS+b}rF8~6Y|A78K{y;zi5D-8A|Iokh|L_0-Py{`d?%HEe z005OTO-bMqY3Rg*)E=ODAPoVa15Z#Ir-T|2H8!SzXc_}R27mxG0me+3F&LNuGGLhi zG+`J57zWg&0iqe8nJ`8GOiU)26KI}@$R#vEG$T~;GG#m|wNFn(^*{ljGzNoZ98sah z02ej^crWhp&9IyR2U(=L`r!t>_8)#yarV9>dPv%bse$_lQhodGUVg)R;yiJ}vvV8I5h1I#AVRhyl@OBxa?qO-G>iNZoGX4>RW z36h;1=`VhwREqQ=a6KVTL!7eJE>#<9gE1Dm;pTL5KZ6_b${_iZj(m>-ksi~69u^9( zwA9Sd2!SOqSBwK%YZ=Kvki~ue-{%YSzI2F(dY2kuz?--rAS~r07zki#K|r<$&u~lT z_`O|`fjT%CRzL_#o($lxIjJmjawxGN0Zbz^fTAj5v`~Un1$~rfVy}Ee&}QN+Y3aup z)KTvPFsEvkIIJ_8OBm#0M;X*%Aci9hn#@B>N5`7^*UDr4aFIe|L*c%|($jF(RAe6} zo>MrZWcgB&V5uMvaScbwDTwU!nNH)dfB3a07e(X4G?CQoy%m``Zr+mLl4 zWR1I|cQB|HdRNCfQ#W=LJYgM1+GY_4K^zU}sc>y2Q#_6(<{=5Woz*yq%wj*NIGgtN zvh)(va;Fz}ky9(h@RFPOI|c8Xm}uVIe&PGo#lbys$AvB zdj$yu5)E0k{^>MzK2~cN?>7AO7d$j1hd}I;nlI<{N1@^>vbeY|VwIsQ6A`__^FcxF z*xDu2Skea8jz{exppL|FEJfp<1&yIrb9nAzJF@6zB>^Uw<|biYOfpBWnDGy9Oqt6e zTnK_I+p#3#Ian%Ctpx>@XoQReP?X9LLOHma2Wga`giuX*;PEjmER(urdzs1>*0jf; z_krm-K~lH1)z(W{ Date: Sat, 5 Jun 2021 11:25:28 -0400 Subject: [PATCH 13/31] polish docs for new dp_cleannames --- R/1_import_dp.R | 20 ++++++++++++++------ man/dp_cleannames.Rd | 13 +++++++++---- man/dp_name_mapping.Rd | 10 ++++++++-- 3 files changed, 31 insertions(+), 12 deletions(-) diff --git a/R/1_import_dp.R b/R/1_import_dp.R index d860f1ab..bda01652 100644 --- a/R/1_import_dp.R +++ b/R/1_import_dp.R @@ -71,8 +71,11 @@ dp_playerids <- function() { #' Clean Names #' -#' Applies some name-cleaning heuristics to facilitate joins. -#' May eventually refer to a name-cleaning database, for now will just include basic regex. +#' Applies some name-cleaning heuristics to facilitate joins. These heuristics may include: +#' - removing periods and apostrophes +#' - removing common suffixes, such as Jr, Sr, II, III, IV +#' - converting to lowercase +#' - using `dp_name_mapping` to do common name substitutions, such as Mitch Trubisky to Mitchell Trubisky #' #' @param player_name a character (or character vector) #' @param lowercase defaults to FALSE - if TRUE, converts to lowercase @@ -83,12 +86,12 @@ dp_playerids <- function() { #' \donttest{ #' dp_cleannames(c("A.J. Green", "Odell Beckham Jr.", "Le'Veon Bell Sr.")) #' -#' dp_cleannames(c("Trubisky, Mitch", "Atwell, Chartarius", "Elliott, Zeke", "Roethlisberger, Ben"), +#' dp_cleannames(c("Trubisky, Mitch", "Atwell, Chatarius", "Elliott, Zeke", "Elijah Moore"), #' convert_lastfirst = TRUE, #' use_name_database = TRUE) #' } #' -#' @seealso +#' @seealso `dp_name_mapping` #' #' @return a character vector of cleaned names #' @@ -119,10 +122,15 @@ dp_cleannames <- function(player_name, lowercase = FALSE, convert_lastfirst = FA #' #' A named character vector mapping common alternate names #' +#' @examples +#' \donttest{ +#' dp_name_mapping[c("Chatarius Atwell", "Robert Kelley")] +#' } +#' #' @format A named character vector #' \describe{ -#' \item{name attribute}{The name of each element of the vector is the "alternate" name} -#' \item{value attribute}{The value of each element of the vector is the "correct" name.} +#' \item{name attribute}{The "alternate" name.} +#' \item{value attribute}{The "correct" name.} #' } #' "dp_name_mapping" diff --git a/man/dp_cleannames.Rd b/man/dp_cleannames.Rd index 6d058bb4..69935fa3 100644 --- a/man/dp_cleannames.Rd +++ b/man/dp_cleannames.Rd @@ -24,19 +24,24 @@ dp_cleannames( a character vector of cleaned names } \description{ -Applies some name-cleaning heuristics to facilitate joins. -May eventually refer to a name-cleaning database, for now will just include basic regex. +Applies some name-cleaning heuristics to facilitate joins. These heuristics may include: +\itemize{ +\item removing periods and apostrophes +\item removing common suffixes, such as Jr, Sr, II, III, IV +\item converting to lowercase +\item using \code{dp_name_mapping} to do common name substitutions, such as Mitch Trubisky to Mitchell Trubisky +} } \examples{ \donttest{ dp_cleannames(c("A.J. Green", "Odell Beckham Jr.", "Le'Veon Bell Sr.")) -dp_cleannames(c("Trubisky, Mitch", "Atwell, Chartarius", "Elliott, Zeke", "Roethlisberger, Ben"), +dp_cleannames(c("Trubisky, Mitch", "Atwell, Chatarius", "Elliott, Zeke", "Elijah Moore"), convert_lastfirst = TRUE, use_name_database = TRUE) } } \seealso{ - +\code{dp_name_mapping} } diff --git a/man/dp_name_mapping.Rd b/man/dp_name_mapping.Rd index ef3c6be1..24d30dca 100644 --- a/man/dp_name_mapping.Rd +++ b/man/dp_name_mapping.Rd @@ -7,8 +7,8 @@ \format{ A named character vector \describe{ -\item{name attribute}{The name of each element of the vector is the "alternate" name} -\item{value attribute}{The value of each element of the vector is the "correct" name.} +\item{name attribute}{The "alternate" name.} +\item{value attribute}{The "correct" name.} } } \usage{ @@ -16,5 +16,11 @@ dp_name_mapping } \description{ A named character vector mapping common alternate names +} +\examples{ +\donttest{ +dp_name_mapping[c("Chatarius Atwell", "Robert Kelley")] +} + } \keyword{datasets} From 0ba33cbf5abca022e016cae8a6805dd1ccaeb31c Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 5 Jun 2021 17:03:36 -0400 Subject: [PATCH 14/31] add a few more names --- data-raw/mismatches.csv | 38 +++++++++++++++++++++++++++++++++++--- data/dp_name_mapping.rda | Bin 1041 -> 1483 bytes 2 files changed, 35 insertions(+), 3 deletions(-) diff --git a/data-raw/mismatches.csv b/data-raw/mismatches.csv index 02dac16f..14953c02 100644 --- a/data-raw/mismatches.csv +++ b/data-raw/mismatches.csv @@ -1,5 +1,6 @@ correct_name,alt_name Alex Armah,Alexander Armah +Alize Mack,Alizé Mack Andrew Van Ginkel,AndrewVanGinkel Arthur Maulet,Art Maulet Blessuan Austin,Bless Austin @@ -14,46 +15,77 @@ CreVon LeBlanc,Crevon LeBlanc DaQuan Jones,Daquan Jones Darnay Holmes,Darney Holmes DaRon Payne,Daron Payne +DaShon Polk,Dashon Polk Davon Hamilton,DaVon Hamilton +DeAndra Cobb,Deandra Cobb +DeAndrew Rubin,Deandrew Rubin +DeAngelo Hall,Deangelo Hall +DeAngelo Tyson,Deangelo Tyson +DeJon Gomes,Dejon Gomes +DeJuan Groce,Dejuan Groce +DeLawrence Grant,Delawrence Grant +DeMarco Sampson,Demarco Sampson DeMarcus Lawrence,Demarcus Lawrence +DeMarcus Van Dyke,Demarcus Van Dyke +DeMarcus Ware,Demarcus Ware +DeShaun Foster,Deshaun Foster DeVante Parker,Devante Parker DeVonta Smith,Devonta Smith +Elerson Smith,Elerson G. Smith Ezekiel Elliott,Zeke Elliott Ezekiel Turner,Zeke Turner Folorunso Fatukasi,Foley Fatukasi +Gary Jennings,Gary Jennings Jr HaHa Clinton-Dix,Hasean Clinton-Dix HaHa Clinton-Dix,HaSean Clinton-Dix Jacob Dolegala,Jake Dolegala Jacob Martin,Jake Martin +JaJuan Dawson,Jajuan Dawson +JaJuan Seider,Jajuan Seider JaMycal Hasty,Jamycal Hasty Jeff Wilson,Jeffery Wilson Jody Fortson,Joe Fortson Jon Brown,Jonathan Brown Joshua Perkins,Josh Perkins +Ken-Yon Rambo,Ken-yon Rambo +Kerrith Whyte,Kerrith Whyte Jr KhaDarel Hodge,Khadarel Hodge +LaBrandon Toefield,Labrandon Toefield LaMical Perine,Lamical Perine +LaMont Jordan,Lamont Jordan +LaTarence Dunbar,Latarence Dunbar +LaVar Arrington,Lavar Arrington +LeRoy Hill,Leroy Hill LeVante Bellamy,Levante Bellamy +Malaefou MacKenzie,Malaefou Mackenzie +Mark LeGree,Mark Legree Matthew Judon,Matt Judon Matthew Slater,Matt Slater Michael Badgley,Mike Badgley Michael Jordan,Mike Jordan Mitchell Trubisky,Mitch Trubisky Nate Gerry,Nathan Gerry +NaVorro Bowman,Navorro Bowman Nick Westbrook-Ikhine,Nick Westbrook Nick Williams,Nicholas Williams Nickell Robey-Coleman,Nickell Robey +Norman LeJeune,Norman Lejeune +Odafe Oweh,Jayson Oweh Ola Adeniyi,Olasunkanmi Adeniyi PJ Walker,Phillip Walker +R Jay Soward,R jay Soward +Rob Kelley,Robert Kelley Rudy Ford,Johnathan Ford Scott Miller,Scotty Miller Sean Murphy-Bunting,Sean Bunting Sebastian Joseph-Day,Sebastian Joseph +Seth DeValve,Seth Devalve Shaquil Barrett,Shaq Barrett Shaquill Griffin,Shaq Griffin Steve McLendon,Steve Mclendon Steven Hauschka,Stephen Hauschka TJ Carrie,Travis Carrie -Ugo Amadi,Ugochukwu Amadi +Travis LaBoy,Travis Laboy +Tron LaFavor,Tron Lafavor Tutu Atwell,Chatarius Atwell -Odafe Oweh,Jayson Oweh -Rob Kelley,Robert Kelley +Ugo Amadi,Ugochukwu Amadi diff --git a/data/dp_name_mapping.rda b/data/dp_name_mapping.rda index 06972cbcfb67ebb49355b7778ccb1b01f37816a7..027a95be2c6e4290310470066abb8d277046acc6 100644 GIT binary patch literal 1483 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insertions(+), 17 deletions(-) diff --git a/README.Rmd b/README.Rmd index b9b9a652..958767e4 100644 --- a/README.Rmd +++ b/README.Rmd @@ -33,13 +33,19 @@ tryCatch(expr = { httptest::use_mock_api() ``` -# ffscrapr +# ffscrapr *An R Client for Fantasy Football League APIs* -[![CRAN status](https://img.shields.io/cran/v/ffscrapr?style=flat-square&logo=R&label=CRAN)](https://CRAN.R-project.org/package=ffscrapr) [![Dev status](https://img.shields.io/github/r-package/v/dynastyprocess/ffscrapr/dev?label=dev&style=flat-square&logo=github)](https://ffscrapr.dynastyprocess.com/dev/) [![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-green.svg?style=flat-square)](https://lifecycle.r-lib.org/articles/stages.html) [![Codecov test coverage](https://img.shields.io/codecov/c/github/dynastyprocess/ffscrapr?label=codecov&style=flat-square&logo=codecov)](https://codecov.io/gh/DynastyProcess/ffscrapr?branch=main) [![R build status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/R-CMD-check?label=R%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) [![API status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/Test%20APIs?label=API%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) [![nflverse discord](https://img.shields.io/discord/591914197219016707.svg?color=5865F2&label=nflverse%20discord&logo=discord&logoColor=5865F2&style=flat-square)](https://discord.com/invite/5Er2FBnnQa) +[![CRAN status](https://img.shields.io/cran/v/ffscrapr?style=flat-square&logo=R&label=CRAN)](https://CRAN.R-project.org/package=ffscrapr) +[![Dev status](https://img.shields.io/github/r-package/v/dynastyprocess/ffscrapr/dev?label=dev&style=flat-square&logo=github)](https://ffscrapr.dynastyprocess.com/dev/) +[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-green.svg?style=flat-square)](https://lifecycle.r-lib.org/articles/stages.html) +[![Codecov test coverage](https://img.shields.io/codecov/c/github/dynastyprocess/ffscrapr?label=codecov&style=flat-square&logo=codecov)](https://codecov.io/gh/DynastyProcess/ffscrapr?branch=main) +[![R build status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/R-CMD-check?label=R%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) +[![API status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/Test%20APIs?label=API%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) +[![nflverse discord](https://img.shields.io/discord/591914197219016707.svg?color=5865F2&label=nflverse%20discord&logo=discord&logoColor=5865F2&style=flat-square)](https://discord.com/invite/5Er2FBnnQa) diff --git a/README.md b/README.md index 0a4acdda..894b9538 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ -# ffscrapr +# ffscrapr *An R Client for Fantasy Football League APIs* @@ -19,7 +19,8 @@ coverage](https://img.shields.io/codecov/c/github/dynastyprocess/ffscrapr?label= status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/R-CMD-check?label=R%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) [![API status](https://img.shields.io/github/workflow/status/dynastyprocess/ffscrapr/Test%20APIs?label=API%20check&style=flat-square&logo=github)](https://github.com/DynastyProcess/ffscrapr/actions) -[![nflverse discord](https://img.shields.io/discord/591914197219016707.svg?color=5865F2&label=nflverse%20discord&logo=discord&logoColor=5865F2&style=flat-square)](https://discord.com/invite/5Er2FBnnQa) +[![nflverse +discord](https://img.shields.io/discord/591914197219016707.svg?color=5865F2&label=nflverse%20discord&logo=discord&logoColor=5865F2&style=flat-square)](https://discord.com/invite/5Er2FBnnQa) @@ -89,11 +90,11 @@ ff_rosters(ssb) #> # A tibble: 442 x 11 #> franchise_id franchise_name player_id player_name pos team age #> -#> 1 0001 Team Pikachu 13189 Engram, Evan TE NYG 26.7 -#> 2 0001 Team Pikachu 11680 Landry, Jarvis WR CLE 28.4 -#> 3 0001 Team Pikachu 13645 Smith, Tre'Quan WR NOS 25.3 +#> 1 0001 Team Pikachu 13189 Engram, Evan TE NYG 26.8 +#> 2 0001 Team Pikachu 11680 Landry, Jarvis WR CLE 28.5 +#> 3 0001 Team Pikachu 13645 Smith, Tre'Quan WR NOS 25.4 #> 4 0001 Team Pikachu 12110 Brate, Cameron TE TBB 29.9 -#> 5 0001 Team Pikachu 13168 Reynolds, Josh WR LAR 26.2 +#> 5 0001 Team Pikachu 13168 Reynolds, Josh WR LAR 26.3 #> # ... with 437 more rows, and 4 more variables: roster_status , #> # drafted , draft_year , draft_round diff --git a/man/figures/ffscrapr.svg b/man/figures/ffscrapr.svg index 32e9b695..c25272b8 100644 --- a/man/figures/ffscrapr.svg +++ b/man/figures/ffscrapr.svg @@ -8,12 +8,15 @@ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd" xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape" width="207.26576mm" - height="225.86987mm" - viewBox="0 0 207.26576 225.86987" + height="239.83647mm" + viewBox="0 0 207.26576 239.83647" version="1.1" id="svg51" inkscape:version="1.0.1 (3bc2e813f5, 2020-09-07)" - sodipodi:docname="ffscrapr-v2.svg"> + sodipodi:docname="ffscrapr-v2.svg" + inkscape:export-filename="C:\Users\Tan\Documents\GitHub\__dynastyprocess\graphics\ffscrapr\ffscrapr-logo-v2.png" + inkscape:export-xdpi="53.799999" + inkscape:export-ydpi="53.799999"> image/svg+xml - + @@ -55,10 +58,10 @@ inkscape:label="Layer 1" inkscape:groupmode="layer" id="layer1" - transform="translate(-0.66136852,-69.249578)"> + transform="translate(-0.66136852,-55.572237)"> Date: Tue, 8 Jun 2021 09:17:56 -0400 Subject: [PATCH 16/31] update pkgdown --- pkgdown/_pkgdown.yml | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/pkgdown/_pkgdown.yml b/pkgdown/_pkgdown.yml index 32ebb519..80be380a 100644 --- a/pkgdown/_pkgdown.yml +++ b/pkgdown/_pkgdown.yml @@ -34,6 +34,26 @@ reference: contents: - starts_with(".ff") +navbar: + structure: + left: [home, reference, news, articles] + right: [discord, github, more] + components: + discord: + icon: "fab fa-discord fa-lg" + href: https://discord.com/invite/5Er2FBnnQa + more: + text: "More" + menu: + - text: ffsimulator + href: https://ffsimulator.dynastyprocess.com + - text: DynastyProcess.com + href: https://www.dynastyprocess.com/ + - text: ffverse + href: https://github.com/ffverse/ + - text: nflverse + href: https://www.nflfastr.com + articles: - title: Getting Started navbar: Getting Started @@ -54,6 +74,10 @@ articles: navbar: "Cache" contents: - starts_with("ffscrapr_caching") +- title: Other + navbar: "Other" + contents: + - "ffscrapr_scoringhistory" url: ffscrapr.dynastyprocess.com From 12462c3f4a7163df4dfa73b50606a8623906c915 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Tue, 8 Jun 2021 23:28:42 -0400 Subject: [PATCH 17/31] continue messing with pkgdown --- README.Rmd | 4 ++-- README.md | 8 +------- man/figures/logo.png | Bin 59661 -> 0 bytes man/figures/{ffscrapr.svg => logo.svg} | 0 pkgdown/_pkgdown.yml | 8 ++++++++ pkgdown/favicon/apple-touch-icon-120x120.png | Bin 12837 -> 7100 bytes pkgdown/favicon/apple-touch-icon-152x152.png | Bin 17559 -> 9362 bytes pkgdown/favicon/apple-touch-icon-180x180.png | Bin 22205 -> 11245 bytes pkgdown/favicon/apple-touch-icon-60x60.png | Bin 5424 -> 3038 bytes pkgdown/favicon/apple-touch-icon-76x76.png | Bin 7100 -> 3833 bytes pkgdown/favicon/apple-touch-icon.png | Bin 22205 -> 11245 bytes pkgdown/favicon/favicon-16x16.png | Bin 1442 -> 939 bytes pkgdown/favicon/favicon-32x32.png | Bin 2518 -> 1540 bytes pkgdown/favicon/favicon.ico | Bin 15086 -> 15086 bytes 14 files changed, 11 insertions(+), 9 deletions(-) delete mode 100644 man/figures/logo.png rename man/figures/{ffscrapr.svg => logo.svg} (100%) diff --git a/README.Rmd b/README.Rmd index 958767e4..245d0171 100644 --- a/README.Rmd +++ b/README.Rmd @@ -33,7 +33,7 @@ tryCatch(expr = { httptest::use_mock_api() ``` -# ffscrapr +# ffscrapr *An R Client for Fantasy Football League APIs* @@ -74,7 +74,7 @@ The dev version has a [separate documentation site here](https://ffscrapr.dynast All `ffscrapr` functions start with a connection object created by `ff_connect()`, which stores connection, authentication, and other user-defined parameters. This object is used by all other functions to help return the correct data. -```{r eval = eval} +```{r eval = eval, message = FALSE} library(ffscrapr) ssb <- ff_connect(platform = "mfl", league_id = "54040", season = 2020) diff --git a/README.md b/README.md index 894b9538..6541e4ed 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ -# ffscrapr +# ffscrapr *An R Client for Fantasy Football League APIs* @@ -63,9 +63,6 @@ ssb <- ff_connect(platform = "mfl", league_id = "54040", season = 2020) # Get a summary of league settings ff_league(ssb) %>% str() -#> Using request.R from "ffscrapr" -#> No encoding supplied: defaulting to UTF-8. -#> No encoding supplied: defaulting to UTF-8. #> tibble [1 x 14] (S3: tbl_df/tbl/data.frame) #> $ league_id : chr "54040" #> $ league_name : chr "The Super Smash Bros Dynasty League" @@ -84,9 +81,6 @@ ff_league(ssb) %>% str() # Get rosters ff_rosters(ssb) -#> No encoding supplied: defaulting to UTF-8. -#> No encoding supplied: defaulting to UTF-8. -#> No encoding supplied: defaulting to UTF-8. #> # A tibble: 442 x 11 #> franchise_id franchise_name player_id player_name pos team age #> diff --git a/man/figures/logo.png b/man/figures/logo.png deleted file mode 100644 index f6d473ce4413064503dfc060ded6b9322d6af36a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 59661 zcmZ^L1z1)~*Y;M#77QdL6%1NHng>CVP-#UPl#&+d4g*9wrIALuJCyG35|Bm^X%P6= ze(=2Uec$iJxsGS=*)y}&y4Ss8hVwy6Lgd`(E2j|zIVUD6B!eJ0vj}qR-pS+e{pU#bY0OD@NMiOt-b~h5+syL$Yc0gm(vnHnNZ(ZB`713Z&1+zJs*e8-#GEBllVGSdw=x#ds^2-1q7&)$GZb~ zY?pJQ#wf+!J(LmqlD)~jyO=YUaku2^x{B`?oASIU8)Iq&@sZabl;rBj+K>~&71_^D z-)~{A##}-WF0LC(M-Zg4JMAaeK2EK6dO`1>cp9CV1Mb_x_yIU7B}s)Vd0aC%2qIhO zf`ObG33`cO5~TZe_wSsjAc;sfH1@@fx|`9@bI(pjvUeYh?+Xf8K*IbF+eN(AgkXbmld3j$R zLDVnGw;w^=256cV11GL%EWa-MzJq_xa8z;1`y7JQJ{LTJP~B)FGw;q#_&VpP?~&g1 z14ef0qy@>^!7F|SfXWjEA+3#v)?JFL;_l1vpOombPjhpc9ZKRJn6zczmCIM^wX=V2 zGHGwpb`%j%#7d8=uQU@$7kk;S^`mW2GE2%){dAQl$_FKdH;*9EqgbH?pEBh&nV@kxwhHLd6N_~(jbUsl`rHHDO^`z=)mX1!s? 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zu1okA9f(Kkb=wyG&^iaqJTULIUIS>P>C;<#?^f`qsR??GrWTwjbC2?+2U5Pr)`3s@ z-1yU2pJ(J#BK}UgH*S>?OBdai4Qdg6)Ct7Ew>H8IE&y-obR>-ffEQ^zj~wRd8VyEQcf`{ufoexLKYf{)@p3UJ+d?ey+U_?Ax9@w1sy z*>e0Uigxe)0a4cY8bdly5BmEW{z9^$@k?mX!a#-KoHRyZLn-t(Aq( z9P4XA(=c_wG(s<>z*Ga%4!;J&vfE@T`YMCJgTJefzTh=@EnX8;1@jb4OGGh-7(B%> zN|LXp;)L_ImYDa_o=QQN8{$FqZK8&ePt#1 zn}KTX)8bwZzlc|y4)ikFFQd3)J#vBPNk-qN5}PSv?yNd}pXPc#8n-+XtsYvl&uXz# zz{h>A=(~}!xbOIHgz$OyJoMpgL)`E>26_P<9h8<&M?LCf@%e=1*{H3meqUu}IpSX% zdS#=?cj{2P&7rQ2zen?&h8S!MCEbXDZLgqT;T_!hn}L7!KF$4HG+})<>a;ZPGycYe zW1UDuB1IY{{^lqWR!MTVBYs1_k9Q+#ct4?3@OH{6=kH5-pNLAf9Z`>C_&%po=RjD8 zd^fURR-_ToA!<7c{$3z_8Dj1G(C4ulwS*ffpS)-v{C^ZVQYh#?p-Yb`ydsC^&vPH6 zBG;jp=y>RRq^K`9)Q=H8f%UaxaA(f%(p()O{@cg6bItUKx3x1I%ycv7WZcD^({f*D zHii2}SwP}*HDkJKQ)hSPqPI+!EB@Sfq7?g2oRW8WTOxeo9x0K*{i%pGMXZ1vE0;!1 zSo_YNZ2Y=5&Dqgszc`)){wX*kO1Q0ElP4X>AV=dkC!d~rAS+$cp7Q|!= From 5fb08f3334b4bea6b2aec2db5d6fa5b7bda69c78 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Wed, 9 Jun 2021 00:45:03 -0400 Subject: [PATCH 18/31] more pkgdown --- pkgdown/_pkgdown.yml | 26 ++++++++++++++++++-------- 1 file changed, 18 insertions(+), 8 deletions(-) diff --git a/pkgdown/_pkgdown.yml b/pkgdown/_pkgdown.yml index c63f7fd1..38fdfd11 100644 --- a/pkgdown/_pkgdown.yml +++ b/pkgdown/_pkgdown.yml @@ -53,14 +53,24 @@ navbar: more: text: "More" menu: - - text: ffsimulator - href: https://ffsimulator.dynastyprocess.com - - text: DynastyProcess.com - href: https://www.dynastyprocess.com/ - - text: ffverse - href: https://github.com/ffverse/ - - text: nflverse - href: https://www.nflfastr.com + - text: ffverse + menu: + - text: ffsimulator + href: https://ffsimulator.dynastyprocess.com + - text: GitHub + href: https://www.github.com/ffverse + - text: R-Universe + href: https://ffverse.r-universe.dev + - text: "nflverse" + menu: + - text: nflfastR + href: https://www.nflfastr.com + - text: GitHub + href: https://github.com/nflverse + - text: R-Universe + href: https://nflverse.r-universe.dev + - text: "DynastyProcess.com" + href: https://dynastyprocess.com articles: - title: Getting Started From 461e811848e55e9efb296cc5996843be37e75379 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Wed, 9 Jun 2021 00:50:07 -0400 Subject: [PATCH 19/31] namespacing the data - for better usage in imports --- DESCRIPTION | 2 +- NEWS.md | 1 + R/1_import_dp.R | 2 +- R/espn_scoringhistory.R | 2 +- R/flea_scoringhistory.R | 2 +- R/mfl_scoringhistory.R | 2 +- R/sleeper_scoringhistory.R | 2 +- 7 files changed, 7 insertions(+), 6 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index da4e654e..ef673707 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: ffscrapr Title: API Client for Fantasy Football League Platforms -Version: 1.4.2.05 +Version: 1.4.2.06 Authors@R: c(person(given = "Tan", family = "Ho", diff --git a/NEWS.md b/NEWS.md index 0ef13f1f..23248881 100644 --- a/NEWS.md +++ b/NEWS.md @@ -7,6 +7,7 @@ - `ff_schedule()` for Sleeper now should extend into playoff weeks. (Fixes #289) (v1.4.2.03) - `ff_draft()` for Sleeper now has an auction_amount column if it is an auction draft. (Fixes #291) (v1.4.2.04) - `dp_cleannames()` now can flip names originally presented in LastName, FirstName order into First Last, and also has a custom name database to convert common alternate names to a unified one. (v1.4.2.05) +- `nflfastr_stat_mapping` and `dp_name_mapping` are namespaced within the package, so that they can be used internally and externally a little more robustly. (v1.4.2.06) --- diff --git a/R/1_import_dp.R b/R/1_import_dp.R index bda01652..78a19227 100644 --- a/R/1_import_dp.R +++ b/R/1_import_dp.R @@ -111,7 +111,7 @@ dp_cleannames <- function(player_name, lowercase = FALSE, convert_lastfirst = FA n <- stringr::str_squish(n) - if(use_name_database) n <- unname(dplyr::coalesce(dp_name_mapping[n],n)) + if(use_name_database) n <- unname(dplyr::coalesce(ffscrapr::dp_name_mapping[n],n)) if(lowercase) n <- tolower(n) diff --git a/R/espn_scoringhistory.R b/R/espn_scoringhistory.R index 377d4f33..76a54e80 100644 --- a/R/espn_scoringhistory.R +++ b/R/espn_scoringhistory.R @@ -22,7 +22,7 @@ ff_scoringhistory.espn_conn <- function(conn, season = 1999:2020, ...) { league_rules <- ff_scoring(conn) %>% dplyr::left_join( - nflfastr_stat_mapping %>% dplyr::filter(.data$platform == "espn"), + ffscrapr::nflfastr_stat_mapping %>% dplyr::filter(.data$platform == "espn"), by = c("stat_name" = "ff_event")) # Use custom ffscrapr function to get positions fron nflfastR rosters diff --git a/R/flea_scoringhistory.R b/R/flea_scoringhistory.R index db350ea6..3229c886 100644 --- a/R/flea_scoringhistory.R +++ b/R/flea_scoringhistory.R @@ -22,7 +22,7 @@ ff_scoringhistory.flea_conn <- function(conn, season = 1999:2020, ...) { league_rules <- ff_scoring(conn) %>% dplyr::left_join( - nflfastr_stat_mapping %>% + ffscrapr::nflfastr_stat_mapping %>% dplyr::filter(.data$platform == "fleaflicker") %>% dplyr::mutate(ff_event = as.integer(.data$ff_event)), by = c("event_id" = "ff_event")) diff --git a/R/mfl_scoringhistory.R b/R/mfl_scoringhistory.R index 44481ae3..6e1aafd7 100644 --- a/R/mfl_scoringhistory.R +++ b/R/mfl_scoringhistory.R @@ -31,7 +31,7 @@ ff_scoringhistory.mfl_conn <- function(conn, season = 1999:2020, ...) { .fns = as.numeric )) %>% dplyr::left_join( - nflfastr_stat_mapping %>% dplyr::filter(.data$platform == "mfl"), + ffscrapr::nflfastr_stat_mapping %>% dplyr::filter(.data$platform == "mfl"), by = c("event" = "ff_event")) %>% dplyr::select( "pos","points","lower_range","upper_range","event", "nflfastr_event", "short_desc" diff --git a/R/sleeper_scoringhistory.R b/R/sleeper_scoringhistory.R index 8da0dc75..e856e465 100644 --- a/R/sleeper_scoringhistory.R +++ b/R/sleeper_scoringhistory.R @@ -23,7 +23,7 @@ ff_scoringhistory.sleeper_conn <- function(conn, season = 1999:2020, ...) { league_rules <- ff_scoring(conn) %>% dplyr::left_join( - nflfastr_stat_mapping %>% dplyr::filter(.data$platform == "sleeper"), + ffscrapr::nflfastr_stat_mapping %>% dplyr::filter(.data$platform == "sleeper"), by = c("event" = "ff_event")) # Use custom ffscrapr function to get positions fron nflfastR rosters From 014aac1b0f625349d0e3f52d178dad2aa39fef26 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Wed, 9 Jun 2021 01:11:15 -0400 Subject: [PATCH 20/31] patch warning for .sleeper_matchup --- R/sleeper_schedule.R | 1 + man/dot-sleeper_matchup.Rd | 12 ++++++++++++ 2 files changed, 13 insertions(+) create mode 100644 man/dot-sleeper_matchup.Rd diff --git a/R/sleeper_schedule.R b/R/sleeper_schedule.R index 35ab8d1c..a064fca7 100644 --- a/R/sleeper_schedule.R +++ b/R/sleeper_schedule.R @@ -31,6 +31,7 @@ ff_schedule.sleeper_conn <- function(conn, ...) { return(matchups) } +#' individual sleeper matchup #' @keywords internal .sleeper_matchup <- function(week, conn, last_scored_week) { endpoint <- glue::glue("league/{conn$league_id}/matchups/{week}") diff --git a/man/dot-sleeper_matchup.Rd b/man/dot-sleeper_matchup.Rd new file mode 100644 index 00000000..80383329 --- /dev/null +++ b/man/dot-sleeper_matchup.Rd @@ -0,0 +1,12 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/sleeper_schedule.R +\name{.sleeper_matchup} +\alias{.sleeper_matchup} +\title{individual sleeper matchup} +\usage{ +.sleeper_matchup(week, conn, last_scored_week) +} +\description{ +individual sleeper matchup +} +\keyword{internal} From fbf0632d7396022e805bd08466fd6fc35aad5d01 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Wed, 9 Jun 2021 01:14:48 -0400 Subject: [PATCH 21/31] update data to pass warnings --- data-raw/mismatches.csv | 1 - data/dp_name_mapping.rda | Bin 1483 -> 1459 bytes man/ffscrapr-package.Rd | 2 -- 3 files changed, 3 deletions(-) diff --git a/data-raw/mismatches.csv b/data-raw/mismatches.csv index 14953c02..de16f995 100644 --- a/data-raw/mismatches.csv +++ b/data-raw/mismatches.csv @@ -1,6 +1,5 @@ correct_name,alt_name Alex Armah,Alexander Armah -Alize Mack,Alizé Mack Andrew Van Ginkel,AndrewVanGinkel Arthur Maulet,Art Maulet Blessuan Austin,Bless Austin diff --git a/data/dp_name_mapping.rda b/data/dp_name_mapping.rda index 027a95be2c6e4290310470066abb8d277046acc6..b9a3cb39565eb6c440910f89a6b8a835b0a7d018 100644 GIT binary patch literal 1459 zcmV;k1x)%vT4*^jL0KkKSsu^3B>)5Se}Mi!{y;zj5CA{_|M0*6|L_0-UahCd>H9{-oQ ze5i6layH{4DJtxuFWZ-xuF)kDRC^(GS-sF$fdvjB;A}zN`PvMaOS-Um+nIig82=_TEWJ+VKzwo-j~E2*Wy( z5<~8jAixutcTdo5a#WIuce}3R<~2j8YO2iL+z`8IPz%WAm()$17{S%|-V8pti!~ 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129 +++++- docs/dev/LICENSE-text.html | 110 ++++- docs/dev/LICENSE.html | 110 ++++- docs/dev/apple-touch-icon-120x120.png | Bin 12837 -> 7100 bytes docs/dev/apple-touch-icon-152x152.png | Bin 17559 -> 9362 bytes docs/dev/apple-touch-icon-180x180.png | Bin 22205 -> 11245 bytes docs/dev/apple-touch-icon-60x60.png | Bin 5424 -> 3038 bytes docs/dev/apple-touch-icon-76x76.png | Bin 7100 -> 3833 bytes docs/dev/apple-touch-icon.png | Bin 22205 -> 11245 bytes docs/dev/articles/espn_authentication.html | 258 +++++++++++ .../header-attrs-2.7/header-attrs.js | 12 + docs/dev/articles/espn_basics.html | 429 +++++++++++++++++ .../header-attrs-2.7/header-attrs.js | 12 + docs/dev/articles/espn_getendpoint.html | 351 ++++++++++++++ .../header-attrs-2.7/header-attrs.js | 12 + docs/dev/articles/ffscrapr_caching.html | 138 ++++-- .../header-attrs-2.7/header-attrs.js | 12 + .../dev/articles/ffscrapr_scoringhistory.html | 247 ++++++++++ .../header-attrs-2.7/header-attrs.js | 12 + docs/dev/articles/fleaflicker_basics.html | 430 ++++++++++++++++++ .../header-attrs-2.7/header-attrs.js | 12 + .../dev/articles/fleaflicker_getendpoint.html | 339 ++++++++++++++ .../header-attrs-2.7/header-attrs.js | 12 + docs/dev/articles/index.html | 119 ++++- docs/dev/articles/mfl_basics.html | 382 +++++++++------- .../header-attrs-2.7/header-attrs.js | 12 + docs/dev/articles/mfl_getendpoint.html | 206 ++++++--- .../header-attrs-2.7/header-attrs.js | 12 + docs/dev/articles/sleeper_basics.html | 382 +++++++++------- .../header-attrs-2.7/header-attrs.js | 12 + docs/dev/articles/sleeper_getendpoint.html | 220 +++++---- .../header-attrs-2.7/header-attrs.js | 12 + docs/dev/authors.html | 118 ++++- docs/dev/docsearch.json | 95 ++++ docs/dev/extra.css | 22 +- docs/dev/favicon-16x16.png | Bin 1442 -> 939 bytes docs/dev/favicon-32x32.png | Bin 2518 -> 1540 bytes docs/dev/favicon.ico | Bin 15086 -> 15086 bytes docs/dev/index.html | 231 +++++++--- docs/dev/logo.svg | 141 ++++++ docs/dev/news/index.html | 352 +++++++++++++- docs/dev/pkgdown.yml | 10 +- docs/dev/reference/dot-add_allplay.html | 295 ++++++++++++ docs/dev/reference/dot-espn_activity_map.html | 288 ++++++++++++ .../reference/dot-espn_lineupslot_map.html | 288 ++++++++++++ docs/dev/reference/dot-espn_pos_map.html | 287 ++++++++++++ docs/dev/reference/dot-espn_stat_map.html | 288 ++++++++++++ docs/dev/reference/dot-espn_team_map.html | 290 ++++++++++++ docs/dev/reference/dot-ff_clear_cache.html | 114 ++++- docs/dev/reference/dot-fn_choose_season.html | 114 ++++- docs/dev/reference/dot-fn_drop_nulls.html | 114 ++++- docs/dev/reference/dot-fn_set_ratelimit.html | 114 ++++- docs/dev/reference/dot-fn_set_useragent.html | 114 ++++- docs/dev/reference/dot-mfl_logincookie.html | 112 ++++- docs/dev/reference/dot-retry_get.html | 293 ++++++++++++ docs/dev/reference/dot-retry_post.html | 293 ++++++++++++ docs/dev/reference/dot-sleeper_matchup.html | 285 ++++++++++++ docs/dev/reference/dot-sleeper_userid.html | 112 ++++- docs/dev/reference/dp_cleannames.html | 339 ++++++++++++++ docs/dev/reference/dp_name_mapping.html | 300 ++++++++++++ docs/dev/reference/dp_playerids.html | 153 +++++-- docs/dev/reference/dp_values.html | 136 ++++-- docs/dev/reference/espn_connect.html | 349 ++++++++++++++ docs/dev/reference/espn_getendpoint.html | 318 +++++++++++++ docs/dev/reference/espn_getendpoint_raw.html | 316 +++++++++++++ docs/dev/reference/espn_players.html | 310 +++++++++++++ docs/dev/reference/espn_potentialpoints.html | 321 +++++++++++++ docs/dev/reference/ff_connect.html | 121 ++++- docs/dev/reference/ff_draft.html | 236 ++++++++-- docs/dev/reference/ff_draftpicks.html | 206 +++++++-- docs/dev/reference/ff_franchises.html | 246 ++++++++-- docs/dev/reference/ff_league.html | 187 ++++++-- docs/dev/reference/ff_playerscores.html | 215 +++++++-- docs/dev/reference/ff_rosters.html | 223 +++++++-- docs/dev/reference/ff_schedule.html | 217 +++++++-- docs/dev/reference/ff_scoring.html | 219 +++++++-- docs/dev/reference/ff_scoringhistory.html | 391 ++++++++++++++++ docs/dev/reference/ff_standings.html | 247 +++++++--- docs/dev/reference/ff_starter_positions.html | 377 +++++++++++++++ docs/dev/reference/ff_starters.html | 192 ++++++-- docs/dev/reference/ff_transactions.html | 224 +++++++-- docs/dev/reference/ff_userleagues.html | 133 +++++- docs/dev/reference/ffscrapr-package.html | 313 +++++++++++++ docs/dev/reference/figures/logo.svg | 141 ++++++ docs/dev/reference/fleaflicker_connect.html | 333 ++++++++++++++ .../reference/fleaflicker_getendpoint.html | 307 +++++++++++++ docs/dev/reference/fleaflicker_players.html | 309 +++++++++++++ .../reference/fleaflicker_userleagues.html | 305 +++++++++++++ docs/dev/reference/index.html | 280 ++++++++++-- docs/dev/reference/mfl_allrules.html | 285 ++++++++++++ docs/dev/reference/mfl_connect.html | 145 ++++-- docs/dev/reference/mfl_getendpoint.html | 112 ++++- docs/dev/reference/mfl_players.html | 142 +++++- docs/dev/reference/nflfastr_rosters.html | 329 ++++++++++++++ docs/dev/reference/nflfastr_stat_mapping.html | 294 ++++++++++++ docs/dev/reference/nflfastr_weekly.html | 339 ++++++++++++++ docs/dev/reference/parse_raw_rds.html | 296 ++++++++++++ docs/dev/reference/pipe.html | 115 ++++- docs/dev/reference/release_bullets.html | 285 ++++++++++++ docs/dev/reference/set_unescaped_cookies.html | 296 ++++++++++++ docs/dev/reference/sleeper_connect.html | 130 +++++- docs/dev/reference/sleeper_getendpoint.html | 120 ++++- docs/dev/reference/sleeper_players.html | 114 ++++- docs/dev/reference/sleeper_userleagues.html | 114 ++++- docs/dev/sitemap.xml | 108 +++++ man/pipe.Rd | 2 +- pkgdown/_pkgdown.yml | 30 +- pkgdown/extra.css | 4 + vignettes/espn_authentication.Rmd | 4 +- vignettes/espn_basics.Rmd | 4 +- vignettes/espn_getendpoint.Rmd | 4 +- vignettes/ffscrapr_caching.Rmd | 7 +- vignettes/ffscrapr_scoringhistory.Rmd | 36 +- vignettes/fleaflicker_basics.Rmd | 4 +- vignettes/fleaflicker_getendpoint.Rmd | 4 +- vignettes/mfl_basics.Rmd | 4 +- vignettes/mfl_getendpoint.Rmd | 4 +- vignettes/sleeper_basics.Rmd | 4 +- vignettes/sleeper_getendpoint.Rmd | 4 +- 122 files changed, 18394 insertions(+), 1483 deletions(-) create mode 100644 docs/dev/articles/espn_authentication.html create mode 100644 docs/dev/articles/espn_authentication_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/espn_basics.html create mode 100644 docs/dev/articles/espn_basics_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/espn_getendpoint.html create mode 100644 docs/dev/articles/espn_getendpoint_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/ffscrapr_caching_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/ffscrapr_scoringhistory.html create mode 100644 docs/dev/articles/ffscrapr_scoringhistory_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/fleaflicker_basics.html create mode 100644 docs/dev/articles/fleaflicker_basics_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/fleaflicker_getendpoint.html create mode 100644 docs/dev/articles/fleaflicker_getendpoint_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/mfl_basics_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/mfl_getendpoint_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/sleeper_basics_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/articles/sleeper_getendpoint_files/header-attrs-2.7/header-attrs.js create mode 100644 docs/dev/docsearch.json create mode 100644 docs/dev/logo.svg create mode 100644 docs/dev/reference/dot-add_allplay.html create mode 100644 docs/dev/reference/dot-espn_activity_map.html create mode 100644 docs/dev/reference/dot-espn_lineupslot_map.html create mode 100644 docs/dev/reference/dot-espn_pos_map.html create mode 100644 docs/dev/reference/dot-espn_stat_map.html create mode 100644 docs/dev/reference/dot-espn_team_map.html create mode 100644 docs/dev/reference/dot-retry_get.html create mode 100644 docs/dev/reference/dot-retry_post.html create mode 100644 docs/dev/reference/dot-sleeper_matchup.html create mode 100644 docs/dev/reference/dp_cleannames.html create mode 100644 docs/dev/reference/dp_name_mapping.html create mode 100644 docs/dev/reference/espn_connect.html create mode 100644 docs/dev/reference/espn_getendpoint.html create mode 100644 docs/dev/reference/espn_getendpoint_raw.html create mode 100644 docs/dev/reference/espn_players.html create mode 100644 docs/dev/reference/espn_potentialpoints.html create mode 100644 docs/dev/reference/ff_scoringhistory.html create mode 100644 docs/dev/reference/ff_starter_positions.html create mode 100644 docs/dev/reference/ffscrapr-package.html create mode 100644 docs/dev/reference/figures/logo.svg create mode 100644 docs/dev/reference/fleaflicker_connect.html create mode 100644 docs/dev/reference/fleaflicker_getendpoint.html create mode 100644 docs/dev/reference/fleaflicker_players.html create mode 100644 docs/dev/reference/fleaflicker_userleagues.html create mode 100644 docs/dev/reference/mfl_allrules.html create mode 100644 docs/dev/reference/nflfastr_rosters.html create mode 100644 docs/dev/reference/nflfastr_stat_mapping.html create mode 100644 docs/dev/reference/nflfastr_weekly.html create mode 100644 docs/dev/reference/parse_raw_rds.html create mode 100644 docs/dev/reference/release_bullets.html create mode 100644 docs/dev/reference/set_unescaped_cookies.html diff --git a/R/0_utils.R b/R/0_utils.R index 6df24f64..a11ea3c6 100644 --- a/R/0_utils.R +++ b/R/0_utils.R @@ -10,7 +10,7 @@ NULL #' Pipe operator #' -#' See `magrittr::[\%>\%][magrittr::pipe]` for details. +#' See [`magrittr::%>%`](https://magrittr.tidyverse.org/reference/pipe.html) for details. #' #' @name %>% #' @rdname pipe diff --git a/docs/dev/404.html b/docs/dev/404.html index ebb87b89..a8d0fd50 100644 --- a/docs/dev/404.html +++ b/docs/dev/404.html @@ -44,12 +44,19 @@ + + + + + + - + + @@ -84,7 +91,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -92,7 +99,7 @@

+ + @@ -179,6 +254,23 @@

Contents

+ + + diff --git a/docs/dev/CODE_OF_CONDUCT.html b/docs/dev/CODE_OF_CONDUCT.html index 100fe329..a92c7ee0 100644 --- a/docs/dev/CODE_OF_CONDUCT.html +++ b/docs/dev/CODE_OF_CONDUCT.html @@ -44,12 +44,19 @@ + + + + + + - + + @@ -84,7 +91,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -92,7 +99,7 @@ + + @@ -229,6 +304,23 @@

Contents

+ + + diff --git a/docs/dev/CONTRIBUTING.html b/docs/dev/CONTRIBUTING.html index 156e2baa..04d62051 100644 --- a/docs/dev/CONTRIBUTING.html +++ b/docs/dev/CONTRIBUTING.html @@ -44,12 +44,19 @@ + + + + + + - + + @@ -84,7 +91,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -92,7 +99,7 @@ + + @@ -183,14 +258,27 @@

  • If you want to make a bigger change, it’s a good idea to first file an issue and make sure someone from the team agrees that it’s needed. If you’ve found a bug, please file an issue that illustrates the bug with a minimal reprex (this will also help you write a unit test, if needed).
    • +
    +

    +Project and branch strategy

    +
      +
    • Feature development for this package is organized with GitHub Projects, each of which track towards a minor version release.
      • +
    • Each function/method is tracked as a GitHub Issue, and linked to/closed by Pull Requests.
      • +
    • The main branch contains the code for the current CRAN version of the package.
      • +
    • The dev branch reflects a fully-tested, linted, and documented version of the proposed release.
      • +
    • Staging branches (e.g. fleaflicker, espn) contain reviewed/tested code for each GitHub Project.
      • +
    • Feature branches are built off of the staging branch, add one function/method + documentation + testing, and then is squash-merged back onto the staging branch once developed.
      • +
    • The staging branch is periodically merged onto the dev branch, and the dev branch is merged onto the main branch only when released to CRAN.
      • +
    +

    Pull request process

    @@ -236,6 +324,23 @@

    Contents

    + + + diff --git a/docs/dev/LICENSE-text.html b/docs/dev/LICENSE-text.html index 3cc6c810..ee89dce7 100644 --- a/docs/dev/LICENSE-text.html +++ b/docs/dev/LICENSE-text.html @@ -44,12 +44,19 @@ + + + + + + - + + @@ -84,7 +91,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -92,7 +99,7 @@ + + @@ -181,6 +256,23 @@

    Contents

    + + + diff --git a/docs/dev/LICENSE.html b/docs/dev/LICENSE.html index 74ff648a..04a6a2c2 100644 --- a/docs/dev/LICENSE.html +++ b/docs/dev/LICENSE.html @@ -44,12 +44,19 @@ + + + + + + - + + @@ -84,7 +91,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -92,7 +99,7 @@ + + @@ -185,6 +260,23 @@

    Contents

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z5=gKQXykoxHxhRTb2;ALJ#yRJ3^i4q!!J({Z z=weyA*#9OW4(#tJGq&C!<2rTDAWkETpjOu{I$q=;f9rW2O;6WhR|4{kQyY#Do$jWq z`U;b?Pb@>J%xVs)H;TY0M2=#*)`B!N>ovzSe;vH*9QXqdoObQ*8Zqy#mQH12)up)R z&>X59R&(*Eq|((7)V*R7T``d%loel+vtaaP=zY=M)dVhNND->BMMX^B*FQT`^Ilul zhnqH1r;u~+T1?RaA(CDMk+(dNAsVER;L?s=S?l_d>5C1xSzKbzl~nB-ODCQ^os1wz zbr^v{s@&wt~p zMRCmqf1KQgZNyh%a;wp=j$OgBOf(fK{w?08f@o6~Cnh#4o#wvQ6)Ws+mgwuy_zJG& zyHDAmik8+4&I^IYE*M?W^xfRImT&2-gW&sO}6YjmCaePiE zmaDDusEh9{YcOZ9o0u0*4QGRw*}64Y-ZV@8&rT%cvyJy_3Wy*!R`oZOatEuMieAIT z)lP^oP9r4KX|e@GYy$TxLB>75a73Qmw(0O+iSTo_eact`n6oMprf(N^$vwGw$avh zVV3R@0zn~xUOs-F0%1`>o&r8WVHh&9$h^62M%rK-aq&-P-96}eOEQEIgEWSLRfzRG zjt#*opof)jyMz#`u@>ka8T{DZ)6UyY(~UKHY%EQ-!pRc0t)q|$KS74pH`S}qaf|;C D3SuIk diff --git a/docs/dev/articles/espn_authentication.html b/docs/dev/articles/espn_authentication.html new file mode 100644 index 00000000..2ce5e365 --- /dev/null +++ b/docs/dev/articles/espn_authentication.html @@ -0,0 +1,258 @@ + + + + + + + +ESPN: Private Leagues • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    +
    +
    +

    ESPN: Private Leagues

    +

    Tan Ho

    + +

    2021-06-09

    + + Source: vignettes/espn_authentication.Rmd + + +
    + + + +

    This vignette details how to connect to ESPN private leagues by retreiving the ESPN_S2 and SWID parameters from a live login. This cannot be done programmatically at this time.

    +
    +

    +Instructions

    +
      +
    1. Visit your main league page (i.e. https://fantasy.espn.com/football/team?leagueId=899513&seasonId=2020)
      2. +
    2. Make sure you are logged in.
      3. +
    3. Open Developer Tools (on Chrome/Firefox, right-click anywhere on the page and select Inspect Element)
      4. +
    4. Go to Storage (for Firefox) or Application (for Chrome) and browse the Cookies available for fantasy.espn.com +
      5. +
    5. The values for SWID and ESPN_S2 are the parameters that are used by ffscrapr to connect to your private league. You can right-click and copy the values from here.
      6. +
    +

    The most convenient way to handle these in any project is to store them as environment variables. You can run usethis::edit_r_environ() to add these to your user environment, by adding lines that look like:

    +
    TAN_ESPN_S2="AECt%2F12312Dwd5ktQSzfuG"
+TAN_SWID="{1E6CC139-}"
+
    +

    The above values are both truncated (for security purposes) but ESPN_S2 is often over 250 characters long and SWID is about 38 characters long including the curly brackets.

    +

    After adding the above lines to your .Renviron and restarting R, you can access them in an espn_connect call by using Sys.getenv as per below:

    +
    conn <- espn_connect(
+  season = 2019,
+  league_id = 899513,
+  espn_s2 = Sys.getenv("TAN_ESPN_S2"),
+  swid = Sys.getenv("TAN_SWID")
+)
+
    +
    +
    + + + +
    + + + +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + diff --git a/docs/dev/articles/espn_authentication_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/espn_authentication_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/espn_authentication_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/espn_basics.html b/docs/dev/articles/espn_basics.html new file mode 100644 index 00000000..14f03c0d --- /dev/null +++ b/docs/dev/articles/espn_basics.html @@ -0,0 +1,429 @@ + + + + + + + +ESPN: Basics • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    +
    +
    +

    ESPN: Basics

    +

    Tan Ho

    + +

    2021-06-09

    + + Source: vignettes/espn_basics.Rmd + + +
    + + + +

    In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on ESPN, pulling in roster data.

    +

    We’ll start by loading the packages:

    + +

    In ESPN, you can find the league ID by looking in the URL - it’s the number immediately after ?leagueId in this example URL: https://fantasy.espn.com/football/team?leagueId=899513&seasonId=2020

    +

    Let’s set up a connection to this league:

    +
    +sucioboys <- espn_connect(season = 2020, league_id = 899513)
+
+sucioboys
+#> <ESPN connection 2020_899513>
+#> List of 4
+#>  $ platform : chr "ESPN"
+#>  $ season   : chr "2020"
+#>  $ league_id: chr "899513"
+#>  $ cookies  : NULL
+#>  - attr(*, "class")= chr "espn_conn"
    +

    I’ve done this with the espn_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions after this point are prefixed with “ff_”.

    +

    Cool! Let’s have a quick look at what this league is like.

    +
    +sucioboys_summary <- ff_league(sucioboys)
+#> Using request.R from "ffscrapr"
+#> No encoding supplied: defaulting to UTF-8.
+
+str(sucioboys_summary)
+#> tibble [1 x 16] (S3: tbl_df/tbl/data.frame)
+#>  $ league_id      : chr "899513"
+#>  $ league_name    : chr "Sucio Boys"
+#>  $ season         : int 2020
+#>  $ league_type    : chr "keeper"
+#>  $ franchise_count: int 10
+#>  $ qb_type        : chr "2QB/SF"
+#>  $ idp            : logi FALSE
+#>  $ scoring_flags  : chr "0.5_ppr"
+#>  $ best_ball      : logi FALSE
+#>  $ salary_cap     : logi FALSE
+#>  $ player_copies  : num 1
+#>  $ years_active   : chr "2018-2020"
+#>  $ qb_count       : chr "1-2"
+#>  $ roster_size    : int 24
+#>  $ league_depth   : num 240
+#>  $ keeper_count   : int 22
    +

    Okay, so it’s the Sucio Boys league, it’s a 2QB league with 12 teams, half ppr scoring, and rosters about 240 players.

    +

    Let’s grab the rosters now.

    +
    +sucioboys_rosters <- ff_rosters(sucioboys)
+#> No encoding supplied: defaulting to UTF-8.
+#> No encoding supplied: defaulting to UTF-8.
+
+head(sucioboys_rosters) # quick snapshot of rosters
+#> # A tibble: 6 x 10
+#>   franchise_id franchise_name player_id player_name     team  pos   eligible_pos
+#>          <int> <chr>              <int> <chr>           <chr> <chr> <list>      
+#> 1            1 The Early GGod   4036348 Michael Gallup  DAL   WR    <chr [7]>   
+#> 2            1 The Early GGod   4036131 Noah Fant       DEN   TE    <chr [6]>   
+#> 3            1 The Early GGod    -16003 Bears D/ST      CHI   DST   <chr [3]>   
+#> 4            1 The Early GGod     15920 Latavius Murray NOS   RB    <chr [6]>   
+#> 5            1 The Early GGod   3055899 Harrison Butker KCC   K     <chr [3]>   
+#> 6            1 The Early GGod   4241372 Marquise Brown  BAL   WR    <chr [7]>   
+#> # ... with 3 more variables: status <chr>, acquisition_type <chr>,
+#> #   acquisition_date <dttm>
    +
    +

    +Values

    +

    Cool! Let’s pull in some additional context by adding DynastyProcess player values.

    +
    +player_values <- dp_values("values-players.csv")
+#> No encoding supplied: defaulting to UTF-8.
+
+# The values are stored by fantasypros ID since that's where the data comes from. 
+# To join it to our rosters, we'll need playerID mappings.
+
+player_ids <- dp_playerids() %>% 
+  select(espn_id,fantasypros_id) %>% 
+  filter(!is.na(espn_id),!is.na(fantasypros_id))
+#> No encoding supplied: defaulting to UTF-8.
+
+# We'll be joining it onto rosters, so we can trim down the values dataframe
+# to just IDs, age, and values
+
+player_values <- player_values %>% 
+  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
+  select(espn_id,age,ecr_2qb,ecr_pos,value_2qb)
+
+# we can join the roster's player_ids on the values' espn_id, with a bit of a type conversion first
+sucioboys_values <- sucioboys_rosters %>% 
+  mutate(player_id = as.character(player_id)) %>% 
+  left_join(player_values, by = c("player_id"="espn_id")) %>% 
+  arrange(franchise_id,desc(value_2qb))
+
+head(sucioboys_values)
+#> # A tibble: 6 x 14
+#>   franchise_id franchise_name player_id player_name     team  pos   eligible_pos
+#>          <int> <chr>          <chr>     <chr>           <chr> <chr> <list>      
+#> 1            1 The Early GGod 4242335   Jonathan Taylor IND   RB    <chr [7]>   
+#> 2            1 The Early GGod 4241985   J.K. Dobbins    BAL   RB    <chr [7]>   
+#> 3            1 The Early GGod 2976316   Michael Thomas  NOS   WR    <chr [7]>   
+#> 4            1 The Early GGod 4241479   Tua Tagovailoa  MIA   QB    <chr [5]>   
+#> 5            1 The Early GGod 4040715   Jalen Hurts     PHI   QB    <chr [5]>   
+#> 6            1 The Early GGod 4239993   Tee Higgins     CIN   WR    <chr [8]>   
+#> # ... with 7 more variables: status <chr>, acquisition_type <chr>,
+#> #   acquisition_date <dttm>, age <dbl>, ecr_2qb <dbl>, ecr_pos <dbl>,
+#> #   value_2qb <int>
    +

    Let’s do some team summaries now!

    +
    +value_summary <- sucioboys_values %>% 
+  group_by(franchise_id,franchise_name,pos) %>% 
+  summarise(total_value = sum(value_2qb,na.rm = TRUE)) %>%
+  ungroup() %>% 
+  group_by(franchise_id,franchise_name) %>% 
+  mutate(team_value = sum(total_value)) %>% 
+  ungroup() %>% 
+  pivot_wider(names_from = pos, values_from = total_value) %>% 
+  arrange(desc(team_value)) %>% 
+  select(franchise_id,franchise_name,team_value,QB,RB,WR,TE)
+
+value_summary
+#> # A tibble: 10 x 7
+#>    franchise_id franchise_name                team_value    QB    RB    WR    TE
+#>           <int> <chr>                              <int> <int> <int> <int> <int>
+#>  1            5 "The Juggernaut"                   51211  7661 20007 17334  6209
+#>  2            6 "OBJ's Personal Porta Potty"       47172 19545 23252  1394  2981
+#>  3            2 "Coom  Dumpster"                   46885 16317  4032 24880  1656
+#>  4            7 "Tony El Tigre"                    43408 14142 17399  4988  6879
+#>  5            4 "I'm Also Sad "                    42807  2951 17737 17570  4549
+#>  6            1 "The Early GGod"                   39982 11452 14925 10705  2900
+#>  7            3 "PAKI STANS"                       39137 12951 11897 12607  1682
+#>  8            9 "RAFI CUNADO"                      36116 10172 11676 13015  1253
+#>  9           10 "Austin <U+0001F410>Drew Loc~      25240 10278   414 14444   104
+#> 10            8 "Big Coomers"                      20671  7894  1336 11281   160
    +

    So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages - this helps normalise it to your league environment.

    +
    +value_summary_pct <- value_summary %>% 
+  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
+  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
+
+value_summary_pct
+#> # A tibble: 10 x 7
+#>    franchise_id franchise_name                team_value    QB    RB    WR    TE
+#>           <int> <chr>                              <dbl> <dbl> <dbl> <dbl> <dbl>
+#>  1            5 "The Juggernaut"                   0.13  0.068 0.163 0.135 0.219
+#>  2            6 "OBJ's Personal Porta Potty"       0.12  0.172 0.19  0.011 0.105
+#>  3            2 "Coom  Dumpster"                   0.119 0.144 0.033 0.194 0.058
+#>  4            7 "Tony El Tigre"                    0.111 0.125 0.142 0.039 0.242
+#>  5            4 "I'm Also Sad "                    0.109 0.026 0.145 0.137 0.16 
+#>  6            1 "The Early GGod"                   0.102 0.101 0.122 0.083 0.102
+#>  7            3 "PAKI STANS"                       0.1   0.114 0.097 0.098 0.059
+#>  8            9 "RAFI CUNADO"                      0.092 0.09  0.095 0.102 0.044
+#>  9           10 "Austin <U+0001F410>Drew Loc~      0.064 0.091 0.003 0.113 0.004
+#> 10            8 "Big Coomers"                      0.053 0.07  0.011 0.088 0.006
    +

    Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

    +
    +
    +

    +Age

    +

    Another question you might ask: what is the average age of any given team?

    +

    I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team - including who might be looking to offload an older veteran!

    +
    +age_summary <- sucioboys_values %>% 
+  filter(pos %in% c("QB","RB","WR","TE")) %>% 
+  group_by(franchise_id,pos) %>% 
+  mutate(position_value = sum(value_2qb,na.rm=TRUE)) %>% 
+  ungroup() %>% 
+  mutate(weighted_age = age*value_2qb/position_value,
+         weighted_age = round(weighted_age, 1)) %>% 
+  group_by(franchise_id,franchise_name,pos) %>% 
+  summarise(count = n(),
+            age = sum(weighted_age,na.rm = TRUE)) %>% 
+  pivot_wider(names_from = pos,
+              values_from = c(age,count))
+
+age_summary
+#> # A tibble: 10 x 10
+#> # Groups:   franchise_id, franchise_name [10]
+#>    franchise_id franchise_name     age_QB age_RB age_TE age_WR count_QB count_RB
+#>           <int> <chr>               <dbl>  <dbl>  <dbl>  <dbl>    <int>    <int>
+#>  1            1 "The Early GGod"     23.7   22.3   24.7   25.8        4        6
+#>  2            2 "Coom  Dumpster"     28.4   26.5   26.8   25.7        4        7
+#>  3            3 "PAKI STANS"         28.3   24.9   23.6   25.7        3        6
+#>  4            4 "I'm Also Sad "      35.8   24.6   28.4   27.1        2        5
+#>  5            5 "The Juggernaut"     24.5   24.2   31.3   25.2        3        8
+#>  6            6 "OBJ's Personal P~   24.5   24.4   25     24.3        3        6
+#>  7            7 "Tony El Tigre"      24.5   24.7   27.5   26.2        3        5
+#>  8            8 "Big Coomers"        23.8   27     28.7   27.2        3        7
+#>  9            9 "RAFI CUNADO"        34.6   25.5   26     24.1        3        5
+#> 10           10 "Austin <U+0001F4~   31.4   27.8   31.8   24.9        3        5
+#> # ... with 2 more variables: count_TE <int>, count_WR <int>
    +
    +
    +

    +Next steps

    +

    In this vignette, I’ve used only a few functions: ff_connect, ff_league, ff_rosters, and dp_values. Now that you’ve gotten this far, why not check out some of the other possibilities?

    +
    +
    + + + +
    + + + +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + diff --git a/docs/dev/articles/espn_basics_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/espn_basics_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/espn_basics_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/espn_getendpoint.html b/docs/dev/articles/espn_getendpoint.html new file mode 100644 index 00000000..f39fd01c --- /dev/null +++ b/docs/dev/articles/espn_getendpoint.html @@ -0,0 +1,351 @@ + + + + + + + +ESPN: Get Endpoint • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    +
    +
    +

    ESPN: Get Endpoint

    +

    Tan Ho

    + +

    2021-06-09

    + + Source: vignettes/espn_getendpoint.Rmd + + +
    + + + +
    +

    +ESPN API - An Adventure Into Uncharted Territory

    + +

    Accessing the ESPN Fantasy API is a bit of an adventure into an undocumented abyss. This vignette will give you a bit of a rundown on how to use espn_getendpoint and the lower-level espn_getendpoint_raw, talk about the x-fantasy-filter, and detail some of the known view parameters that could be helpful.

    +
    +
    +

    +Known Endpoints

    +

    The ESPN Fantasy API is typically accessed from two endpoints:

    +
    https://fantasy.espn.com/apis/v3/games/ffl/seasons/{season}/segments/0/leagues/{league_id} # for 2018 onward
+https://fantasy.espn.com/apis/v3/games/ffl/leagueHistory/{league_id}?seasonId={season} # for 2017 or earlier
    +

    Here’s a non-exhaustive list of view endpoints that I know of:

    +
      +
    • mTeam
      • +
    • mMatchup
      • +
    • mRoster
      • +
    • mSettings
      • +
    • mBoxscore
      • +
    • mMatchupScore
      • +
    • kona_player_info
      • +
    • player_wl
      • +
    • mSchedule
      • +
    • mScoreboard
      • +
    +

    Please note that calling various combinations of these views at once can often return different results than calling them separately.

    +

    A good way to stumble on these endpoints is to load Developer Tools in your browser, go to the Network tab, and then interact with the fantasy.espn.com site to see what API requests the main page is making.

    +

    Alternatively, you can consult the source code of other API packages (including those in other languages) which might give you a bit of a better idea of what’s possible!

    +
    +
    +

    +Using espn_getendpoint

    +

    ESPN’s API is mostly structured as making requests of different views against the main league endpoint.

    +

    For example, https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=mDraftDetail

    +

    will pull up draft details for the 2020 league ID 899513. espn_getendpoint helps facilitate this request by allowing you to instead write:

    +
    +conn <- espn_connect(season = 2020, league_id = 899513)
+
+draft_details <- espn_getendpoint(conn, view = "mDraftDetail")
+
+draft_details
+#> <ESPN - GET https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=mDraftDetail>
+#> List of 8
+#>  $ draftDetail    :List of 4
+#>  $ gameId         : int 1
+#>  $ id             : int 899513
+#>  $ scoringPeriodId: int 18
+#>  $ seasonId       : int 2020
+#>  $ segmentId      : int 0
+#>  $ settings       :List of 1
+#>  $ status         :List of 21
    +

    This will automatically pass in the league ID, season, and authentication cookies (if used) from the conn object and place it into the request.

    +

    You can also use the lower-level equivalent, espn_getendpoint_raw, which does not build the URL from the conn object but still uses the conn object to pass along any authentication cookies:

    +
    +draft_details_raw <- espn_getendpoint_raw(
+  conn,
+  "https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=mDraftDetail")
+
+draft_details_raw
+#> <ESPN - GET https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=mDraftDetail>
+#> List of 8
+#>  $ draftDetail    :List of 4
+#>  $ gameId         : int 1
+#>  $ id             : int 899513
+#>  $ scoringPeriodId: int 18
+#>  $ seasonId       : int 2020
+#>  $ segmentId      : int 0
+#>  $ settings       :List of 1
+#>  $ status         :List of 21
    +

    These are equivalent requests. One reason to use the “raw” version is to be able to pass multiple view parameters such as view=mDraftDetail&view=mSettings as the query, which is not possible with the main endpoint function because it only accepts one option for the view http query.

    +
    +
    +

    +X-Fantasy-Filter

    +

    Many of the endpoints are also affected by a JSON header, X-Fantasy-Filter, which can filter/sort/limit (or remove limits) from the API response. Here is an example of how to build up a valid JSON x-fantasy-filter, sourced from the code for ff_playerscores:

    +
    +
+xff <- list(players = list(
+  limit = 5,
+  sortPercOwned = 
+    list(sortAsc = FALSE,
+         sortPriority = 1),
+  filterStatsForTopScoringPeriodIDs = 
+    list(value = 2,
+         additionalValue = c(paste0("00", conn$season)))
+  )) %>%
+  jsonlite::toJSON(auto_unbox = TRUE)
+
+xff
+#> {"players":{"limit":5,"sortPercOwned":{"sortAsc":false,"sortPriority":1},"filterStatsForTopScoringPeriodIDs":{"value":2,"additionalValue":"002020"}}}
    +

    This JSON limits the total responses to 5, filters the “statIDs” returned to just the ones prefixed by “00”, and sorts the whole thing by percent owned, descending.

    +

    I’m not exactly clear on what all of the options for x-fantasy-filter are, but you can use it to emulate what’s happening in the request on fantasy.espn.com.

    +

    Both the espn_getendpoint and espn_getendpoint_raw functions can accept x-fantasy-filters. espn_getendpoint has an x_fantasy_filterargument that takes the JSON object created above, while espn_getendpoint_raw requires that the object is converted into an HTTP header first.

    +

    Examples here:

    +
    +player_scores <- espn_getendpoint(conn, view = "kona_player_info", x_fantasy_filter = xff)
+
+player_scores_2 <- espn_getendpoint_raw(
+  conn,
+  "https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=kona_player_info",
+  httr::add_headers(`X-Fantasy-Filter` = xff))
    +
    +
    +

    +Other ESPN API resources

    +

    Kiernan Nichols’s fflr R package is an R package available on CRAN that is built specifically for ESPN API access. As of this writing (2021-03-03) it only supports public leagues, and has a few style differences as a light-weight/lower-dependency package.

    +

    Many of the API endpoints are being researched in other languages and you might be able to draw inspiration on what’s possible by checking them out:

    +
      +

    • Christian Wendt’s espn-api Python package was incredibly helpful in discovering the known and documented API endpoints.

      • +

    • Mike Kreiser’s ESPN-Fantasy-Football-API is a well-documented JS client.

      • +

    • Steven Morse also has several great blog posts on using the API, mostly accessed via Python.

      • +
    +
    +
    + + + +
    + + + +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + diff --git a/docs/dev/articles/espn_getendpoint_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/espn_getendpoint_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/espn_getendpoint_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/ffscrapr_caching.html b/docs/dev/articles/ffscrapr_caching.html index 595a6dd0..65d8f494 100644 --- a/docs/dev/articles/ffscrapr_caching.html +++ b/docs/dev/articles/ffscrapr_caching.html @@ -5,7 +5,7 @@ -Managing ffscrapr's Cache • ffscrapr +ffscrapr: Managing Cache • ffscrapr @@ -17,10 +17,13 @@ - - + + + + - + + @@ -43,7 +46,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -51,7 +54,7 @@ + + + @@ -105,12 +176,13 @@ -
    +
    -

    Managing ffscrapr’s Cache

    +

    ffscrapr: Managing Cache

    Tan Ho

    +

    2021-06-09

    Source: vignettes/ffscrapr_caching.Rmd @@ -137,7 +209,7 @@

    ffscrapr’s core functions often loop over the same, stable endpoints to help return the data for each function - things like “player names/positions/teams”, “franchise IDs/names”, and “league scoring rules” are all used frequently. ffscrapr incorporates memoise package to help with this functionality, and (as of this writing) saves the results of these functions:

    • -mfl_players(), sleeper_players() - these functions are stored for 7 days
      • +mfl_players(), sleeper_players(), fleaflicker_players() - these functions are stored for 7 days
    • ff_franchises(), ff_scoring(), ff_league() - these functions are stored for 24 hours
    • @@ -152,21 +224,18 @@

      Where is it being cached?

      By default, ffscrapr will save the results of each function call (i.e. function + arguments) into memory.

      If you would like to have your cache stored on your local filesystem, you can adjust this behaviour by adding the following line to your (or your project) .Rprofile, or by adding it BEFORE you library/load the package.

      -
      -options(ffscrapr.cache = "filesystem") 
-
      +
      +options(ffscrapr.cache = "filesystem")

      This will instruct ffscrapr to store the cache on your machine, as dictated by the typical cache location for your operating system. You can see where this is by running the following line of code:

      -
      -rappdirs::user_cache_dir("ffscrapr")
-
      +
      +rappdirs::user_cache_dir("ffscrapr")

    How can I clear the cache?

    You can use the following function to clear the cache (whether it is in memory or on your filesystem):

    -
    -.ffscrapr_clear_cache()
-
    +
    +.ffscrapr_clear_cache()
    @@ -192,7 +261,20 @@

    - - - + + diff --git a/docs/dev/articles/ffscrapr_caching_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/ffscrapr_caching_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/ffscrapr_caching_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/ffscrapr_scoringhistory.html b/docs/dev/articles/ffscrapr_scoringhistory.html new file mode 100644 index 00000000..0e8d05f3 --- /dev/null +++ b/docs/dev/articles/ffscrapr_scoringhistory.html @@ -0,0 +1,247 @@ + + + + + + + +ffscrapr: ff_scoringhistory Limitations • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    +
    +
    +

    ffscrapr: ff_scoringhistory Limitations

    +

    Tan Ho

    + +

    2021-06-09

    + + Source: vignettes/ffscrapr_scoringhistory.Rmd + + +
    + + + +
    +

    +Limitations of ff_scoringhistory

    +

    For all sites:

    +
      +
    • Official NFL lateral scoring may be different than MFL scoring
      • +
    • Special team TDs are not broken down into punt returns, kick returns, and FG returns in nflfastR load_player_stats so the kick return scoring was applied to all special team TDs
      • +
    • No support for IDPs, team defenses, kickers, coaches, fumbles, return yards, offensive fumble recoveries
      • +
    • Support for eccentric rules (bonuses for long plays, conditional rules) will be added on a request basis
      • +
    +

    For Fleaflicker: - Does Fleaflicker allow for ranged scoring rules like MFL? (assume no)

    +

    For Sleeper: - Does Sleeper allow for ranged scoring rules like MFL? (assume no) - Does Sleeper allow for positional scoring rules? (assume no)

    +
    +
    + + + +
    + + + +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + diff --git a/docs/dev/articles/ffscrapr_scoringhistory_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/ffscrapr_scoringhistory_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/ffscrapr_scoringhistory_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/fleaflicker_basics.html b/docs/dev/articles/fleaflicker_basics.html new file mode 100644 index 00000000..d8596446 --- /dev/null +++ b/docs/dev/articles/fleaflicker_basics.html @@ -0,0 +1,430 @@ + + + + + + + +Fleaflicker: Basics • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    +
    +
    +

    Fleaflicker: Basics

    +

    Tan Ho

    + +

    2021-06-09

    + + Source: vignettes/fleaflicker_basics.Rmd + + +
    + + + +

    In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on Fleaflicker.

    +

    We’ll start by loading the packages:

    + +

    In Fleaflicker, you can find the league ID by looking in the URL - it’s the number immediately after /league/ in this example URL: https://www.fleaflicker.com/nfl/leagues/312861.

    +

    Let’s set up a connection to this league:

    +
    +aaa <- fleaflicker_connect(season = 2020, league_id = 312861)
+
+aaa
+#> <Fleaflicker connection 2020_312861>
+#> List of 4
+#>  $ platform  : chr "Fleaflicker"
+#>  $ season    : chr "2020"
+#>  $ user_email: NULL
+#>  $ league_id : chr "312861"
+#>  - attr(*, "class")= chr "flea_conn"
    +

    I’ve done this with the fleaflicker_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions after this point are prefixed with “ff_”.

    +

    Cool! Let’s have a quick look at what this league is like.

    +
    +
+aaa_summary <- ff_league(aaa)
+#> Using request.R from "ffscrapr"
+#> No encoding supplied: defaulting to UTF-8.
+
+str(aaa_summary)
+#> tibble [1 x 15] (S3: tbl_df/tbl/data.frame)
+#>  $ league_id      : chr "312861"
+#>  $ league_name    : chr "Avid Auctioneers Alliance"
+#>  $ season         : int 2020
+#>  $ league_type    : chr "dynasty"
+#>  $ franchise_count: num 12
+#>  $ qb_type        : chr "2QB/SF"
+#>  $ idp            : logi FALSE
+#>  $ scoring_flags  : chr "0.5_ppr, PP1D"
+#>  $ best_ball      : logi FALSE
+#>  $ salary_cap     : logi FALSE
+#>  $ player_copies  : num 1
+#>  $ qb_count       : chr "1-2"
+#>  $ roster_size    : int 28
+#>  $ league_depth   : num 336
+#>  $ keeper_count   : int 28
    +

    Okay, so it’s the Avid Auctioneers Alliance, it’s a 2QB league with 12 teams, half ppr scoring, and rosters about 340 players.

    +

    Let’s grab the rosters now.

    +
    +aaa_rosters <- ff_rosters(aaa)
+
+head(aaa_rosters)
+#> # A tibble: 6 x 7
+#>   franchise_id franchise_name player_id player_name  pos   team  sportradar_id  
+#>          <int> <chr>              <int> <chr>        <chr> <chr> <chr>          
+#> 1      1578553 Running Bear       12032 Carson Wentz QB    PHI   e9a5c16b-4472-~
+#> 2      1578553 Running Bear        7378 Cam Newton   QB    NE    214e55e4-a089-~
+#> 3      1578553 Running Bear       15622 Joshua Kell~ RB    LAC   62542e04-3c44-~
+#> 4      1578553 Running Bear       13358 Matt Breida  RB    MIA   6249d2c0-75dc-~
+#> 5      1578553 Running Bear        7369 A.J. Green   WR    CIN   c9701373-23f6-~
+#> 6      1578553 Running Bear       13782 Anthony Mil~ WR    CHI   bfaedf99-7618-~
    +
    +

    +Values

    +

    Cool! Let’s pull in some additional context by adding DynastyProcess player values.

    +
    +player_values <- dp_values("values-players.csv")
+#> No encoding supplied: defaulting to UTF-8.
+
+# The values are stored by fantasypros ID since that's where the data comes from. 
+# To join it to our rosters, we'll need playerID mappings.
+
+player_ids <- dp_playerids() %>% 
+  select(sportradar_id,fantasypros_id) %>% 
+  filter(!is.na(sportradar_id),!is.na(fantasypros_id))
+#> No encoding supplied: defaulting to UTF-8.
+
+# We'll be joining it onto rosters, so we can trim down the values dataframe
+# to just IDs, age, and values
+
+player_values <- player_values %>% 
+  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
+  select(sportradar_id,age,ecr_2qb,ecr_pos,value_2qb)
+
+# ff_rosters() will return the sportradar_id, which we can then match to our player values!
+
+aaa_values <- aaa_rosters %>% 
+  left_join(player_values, by = c("sportradar_id"="sportradar_id")) %>% 
+  arrange(franchise_id,desc(value_2qb))
+
+head(aaa_values)
+#> # A tibble: 6 x 11
+#>   franchise_id franchise_name player_id player_name  pos   team  sportradar_id  
+#>          <int> <chr>              <int> <chr>        <chr> <chr> <chr>          
+#> 1      1578553 Running Bear       12159 Dak Prescott QB    DAL   86197778-8d4b-~
+#> 2      1578553 Running Bear       12926 Chris Godwin WR    TB    baa61bb5-f8d0-~
+#> 3      1578553 Running Bear       12032 Carson Wentz QB    PHI   e9a5c16b-4472-~
+#> 4      1578553 Running Bear       13325 Austin Ekel~ RB    LAC   e5b8c439-a48a-~
+#> 5      1578553 Running Bear       15531 Brandon Aiy~ WR    SF    c90471cc-fa60-~
+#> 6      1578553 Running Bear        9338 Robert Woods WR    LAR   618bedee-9259-~
+#> # ... with 4 more variables: age <dbl>, ecr_2qb <dbl>, ecr_pos <dbl>,
+#> #   value_2qb <int>
    +

    Let’s do some team summaries now!

    +
    +value_summary <- aaa_values %>% 
+  group_by(franchise_id,franchise_name,pos) %>% 
+  summarise(total_value = sum(value_2qb,na.rm = TRUE)) %>%
+  ungroup() %>% 
+  group_by(franchise_id,franchise_name) %>% 
+  mutate(team_value = sum(total_value)) %>% 
+  ungroup() %>% 
+  pivot_wider(names_from = pos, values_from = total_value) %>% 
+  arrange(desc(team_value)) %>% 
+  select(franchise_id,franchise_name,team_value,QB,RB,WR,TE)
+
+value_summary
+#> # A tibble: 12 x 7
+#>    franchise_id franchise_name      team_value    QB    RB    WR    TE
+#>           <int> <chr>                    <int> <int> <int> <int> <int>
+#>  1      1581803 ZachFarni's Team         45658 10299 19968 15334    57
+#>  2      1581722 syd12nyjets's Team       39773 14666  4596 19094  1417
+#>  3      1581719 Jmuthers's Team          36800  8073 10710 10055  7962
+#>  4      1581721 Mjenkyns2004's Team      35061 19338  3680 11598   445
+#>  5      1582416 Ray Jay Team             34369  6201 11128  9012  8028
+#>  6      1581753 fede_mndz's Team         34022  3071 16590 13803   558
+#>  7      1581988 The DK Crew              34020  9167  6627 15292  2834
+#>  8      1582423 The Verblanders          33492 10661 11273 11186   372
+#>  9      1581720 brosene's Team           33432 12479 12380  6184  2389
+#> 10      1581718 AlexG5386's Team         32997  8185 15644  4575  4593
+#> 11      1581726 SCJaguars's Team         27219  3397 15703  8041    78
+#> 12      1578553 Running Bear             23630 10533  3585  8257  1255
    +

    So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages - this helps normalise it to your league environment.

    +
    +value_summary_pct <- value_summary %>% 
+  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
+  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
+
+value_summary_pct
+#> # A tibble: 12 x 7
+#>    franchise_id franchise_name      team_value    QB    RB    WR    TE
+#>           <int> <chr>                    <dbl> <dbl> <dbl> <dbl> <dbl>
+#>  1      1581803 ZachFarni's Team         0.111 0.089 0.151 0.116 0.002
+#>  2      1581722 syd12nyjets's Team       0.097 0.126 0.035 0.144 0.047
+#>  3      1581719 Jmuthers's Team          0.09  0.07  0.081 0.076 0.266
+#>  4      1581721 Mjenkyns2004's Team      0.085 0.167 0.028 0.088 0.015
+#>  5      1582416 Ray Jay Team             0.084 0.053 0.084 0.068 0.268
+#>  6      1581753 fede_mndz's Team         0.083 0.026 0.126 0.104 0.019
+#>  7      1581988 The DK Crew              0.083 0.079 0.05  0.115 0.095
+#>  8      1582423 The Verblanders          0.082 0.092 0.085 0.084 0.012
+#>  9      1581720 brosene's Team           0.081 0.108 0.094 0.047 0.08 
+#> 10      1581718 AlexG5386's Team         0.08  0.071 0.119 0.035 0.153
+#> 11      1581726 SCJaguars's Team         0.066 0.029 0.119 0.061 0.003
+#> 12      1578553 Running Bear             0.058 0.091 0.027 0.062 0.042
    +

    Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

    +
    +
    +

    +Age

    +

    Another question you might ask: what is the average age of any given team?

    +

    I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team - including who might be looking to offload an older veteran!

    +
    +age_summary <- aaa_values %>% 
+  filter(pos %in% c("QB","RB","WR","TE")) %>% 
+  group_by(franchise_id,pos) %>% 
+  mutate(position_value = sum(value_2qb,na.rm=TRUE)) %>% 
+  ungroup() %>% 
+  mutate(weighted_age = age*value_2qb/position_value,
+         weighted_age = round(weighted_age, 1)) %>% 
+  group_by(franchise_id,franchise_name,pos) %>% 
+  summarise(count = n(),
+            age = sum(weighted_age,na.rm = TRUE)) %>% 
+  pivot_wider(names_from = pos,
+              values_from = c(age,count))
+
+age_summary
+#> # A tibble: 12 x 10
+#> # Groups:   franchise_id, franchise_name [12]
+#>    franchise_id franchise_name     age_QB age_RB age_TE age_WR count_QB count_RB
+#>           <int> <chr>               <dbl>  <dbl>  <dbl>  <dbl>    <int>    <int>
+#>  1      1578553 Running Bear         27.7   25.8   26.2   25.4        6        6
+#>  2      1581718 AlexG5386's Team     30.7   24.9   28.4   26.4        3       12
+#>  3      1581719 Jmuthers's Team      24.9   24.4   26.6   28.8        5        8
+#>  4      1581720 brosene's Team       29.7   25.6   24.7   26.4        6       10
+#>  5      1581721 Mjenkyns2004's Te~   25.8   24     26.8   26.6        5        9
+#>  6      1581722 syd12nyjets's Team   24.8   22.4   24.4   22.2        5        7
+#>  7      1581726 SCJaguars's Team     23.8   24.9   33     24.3        5        7
+#>  8      1581753 fede_mndz's Team     35.7   24.7   24.5   27.9        6       12
+#>  9      1581803 ZachFarni's Team     28.2   21.9   25.8   24.2        5        9
+#> 10      1581988 The DK Crew          27     22.6   24.9   25          4        6
+#> 11      1582416 Ray Jay Team         29.6   26.4   30.2   27          4        8
+#> 12      1582423 The Verblanders      24.3   25.3   26.1   27.3        4        8
+#> # ... with 2 more variables: count_TE <int>, count_WR <int>
    +
    +
    +

    +Next steps

    +

    In this vignette, I’ve used only a few functions: ff_connect, ff_league, ff_rosters, and dp_values. Now that you’ve gotten this far, why not check out some of the other possibilities?

    +
    +
    + + + +
    + + + +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + diff --git a/docs/dev/articles/fleaflicker_basics_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/fleaflicker_basics_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/fleaflicker_basics_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/fleaflicker_getendpoint.html b/docs/dev/articles/fleaflicker_getendpoint.html new file mode 100644 index 00000000..e9528143 --- /dev/null +++ b/docs/dev/articles/fleaflicker_getendpoint.html @@ -0,0 +1,339 @@ + + + + + + + +Fleaflicker: Get Endpoint • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    +
    +
    +

    Fleaflicker: Get Endpoint

    +

    Tan Ho

    + +

    2021-06-09

    + + Source: vignettes/fleaflicker_getendpoint.Rmd + + +
    + + + +
    +

    +Creating custom Fleaflicker API calls

    + +

    The Fleaflicker API is fairly extensive. If there is something you’d like to access that’s beyond the current scope of ffscrapr, you can use the lower-level “fleaflicker_getendpoint” function to create a GET request and access the data, while still using the authentication and rate-limiting features I’ve already created.

    +

    Here is an example of how you can call one of the endpoints - in this case, let’s zoom in on the Fetch League Scoreboard endpoint, which is used inside a few different ffscrapr functions and summarised in a few ways.

    +

    We’ll start by opening up this page, https://www.fleaflicker.com/api-docs/index.html#operation--FetchLeagueScoreboard-get, which is the documentation page for this particular endpoint.

    +

    From here, we can see that Fleaflicker’s documentation says the endpoint and parameters are:

    +
    GET /FetchLeagueScoreboard
+
+Parameters:
+
+- sport: string NFL, MLB, NBA, NHL NFL
+(in query)
+
+- league_id: integer (int32)
+(in query)
+
+- season: integer (int32)
+(in query)
+
+- scoring_period: integer (int32)
+(in query)
    +

    The fleaflicker_getendpoint function already has the base url encoded, so all we’ll need to do is pass in the endpoint without the /, and pass the HTTP parameters in as arguments to the function (these are case sensitive!)

    +
    +sport <- "NFL"
+league_id <- 206154
+season <- 2020
+week <- 5
+
+response_scoreboard <- fleaflicker_getendpoint("FetchLeagueScoreboard",
+                                               sport = sport, 
+                                               league_id = league_id, 
+                                               season = season, 
+                                               scoring_period = week)
+#> Using request.R from "ffscrapr"
+
+str(response_scoreboard, max.level = 1)
+#> List of 3
+#>  $ content :List of 3
+#>  $ query   : chr "https://www.fleaflicker.com/api/FetchLeagueScoreboard?sport=NFL&league_id=206154&season=2020&scoring_period=5"
+#>  $ response:List of 9
+#>   ..- attr(*, "class")= chr "response"
+#>  - attr(*, "class")= chr "fleaflicker_api"
    +

    Along with the parsed content, the function also returns the query and the response that was sent by the server. These are helpful for debugging, but we can turn the content into a dataframe with some careful application of the tidyverse.

    +
    +df_scoreboard <- response_scoreboard %>% 
+  purrr::pluck("content","games") %>% 
+  tibble::tibble() %>% 
+  tidyr::unnest_wider(1) %>% 
+  dplyr::mutate_at(c("away","home"),purrr::map_chr,purrr::pluck,"franchise_name"="name") %>% 
+  dplyr::mutate_at(c("homeScore","awayScore"),purrr::map_dbl,purrr::pluck,"score","value")
+
+head(df_scoreboard)
+#> # A tibble: 6 x 8
+#>   id     away     home    awayScore homeScore homeResult awayResult isFinalScore
+#>   <chr>  <chr>    <chr>       <dbl>     <dbl> <chr>      <chr>      <lgl>       
+#> 1 46301~ Winterf~ Top Ci~      207.      162. LOSE       WIN        TRUE        
+#> 2 46301~ Goldenr~ Winter~      145.      157. WIN        LOSE       TRUE        
+#> 3 46301~ Wintert~ Clutch~      153.      192. WIN        LOSE       TRUE        
+#> 4 46301~ Manitob~ Bamend~      182.      183. WIN        LOSE       TRUE        
+#> 5 46301~ Springf~ Shangh~      176.      129. LOSE       WIN        TRUE        
+#> 6 46301~ Boomtow~ Philad~      199.      200. WIN        LOSE       TRUE
    +

    From here, we’ll be able to feed these IDs into the FetchLeagueBoxscore endpoint https://www.fleaflicker.com/api-docs/index.html#operation--FetchLeagueScoreboard-get as the fantasy_game_id - and from here you’ll be able to get to player-level points and actual stat data for each fantasy game!

    +
    +# same variables as previous endpoint call!
+onegame_lineups <- fleaflicker_getendpoint(
+  "FetchLeagueBoxscore",
+  sport = sport, 
+  league_id = league_id, 
+  # example for one call, but you can call this in a map or loop! 
+  fantasy_game_id = df_scoreboard$id[[1]], 
+  scoring_period = week) %>% 
+  purrr::pluck('content','lineups') %>% 
+  tibble::tibble() %>% 
+  tidyr::unnest_wider(1) %>% 
+  tidyr::unnest_longer('slots') %>% 
+  tidyr::unnest_wider('slots') %>% 
+  tidyr::pivot_longer(c("home","away"),names_to = "franchise",values_to = "player") %>% 
+  tidyr::unnest_wider('player')
+
+str(onegame_lineups,max.level = 2)
+#> tibble [98 x 16] (S3: tbl_df/tbl/data.frame)
+#>  $ group               : chr [1:98] "START" "START" "START" "START" ...
+#>  $ position            :List of 98
+#>  $ positionColor       :List of 98
+#>  $ franchise           : chr [1:98] "home" "away" "home" "away" ...
+#>  $ proPlayer           :List of 98
+#>  $ requestedGames      :List of 98
+#>  $ viewingActualPoints :List of 98
+#>  $ viewingActualStats  :List of 98
+#>  $ requestedGamesPeriod:List of 98
+#>  $ viewingFormat       : chr [1:98] "TOTAL" "TOTAL" "TOTAL" "TOTAL" ...
+#>  $ viewingRange        :List of 98
+#>  $ owner               :List of 98
+#>  $ displayGroup        : chr [1:98] "PASSER" "PASSER" "RUSHER" "RUSHER" ...
+#>  $ rankFantasy         :List of 98
+#>  $ rankDraft           :List of 98
+#>  $ lastX               :List of 98
    +

    From here, you can keep unravelling - including the “viewingActualPoints” and “viewingActualStats” columns!

    +
    +
    + + + +
    + + + +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + diff --git a/docs/dev/articles/fleaflicker_getendpoint_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/fleaflicker_getendpoint_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/fleaflicker_getendpoint_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/index.html b/docs/dev/articles/index.html index 6ab433b4..7a1931e4 100644 --- a/docs/dev/articles/index.html +++ b/docs/dev/articles/index.html @@ -44,12 +44,19 @@ + + + + + + - + + @@ -84,7 +91,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06
    @@ -92,7 +99,7 @@ @@ -135,13 +162,57 @@ + + @@ -165,6 +236,12 @@

    Getting Started

    Sleeper: Basics
    +
    Fleaflicker: Basics
    +
    +
    ESPN: Basics
    +
    +
    ESPN: Private Leagues
    +
    @@ -176,6 +253,10 @@

    Custom API calls

    Sleeper: Get Endpoint
    +
    Fleaflicker: Get Endpoint
    +
    +
    ESPN: Get Endpoint
    +
    @@ -183,7 +264,16 @@

    Performance

    -
    Managing ffscrapr's Cache
    +
    ffscrapr: Managing Cache
    +
    +
    +
    +
    +

    Other

    +

    + +
    +
    ffscrapr: ff_scoringhistory Limitations
    @@ -204,6 +294,23 @@

    Performance

    + + + diff --git a/docs/dev/articles/mfl_basics.html b/docs/dev/articles/mfl_basics.html index e85f3773..6ae2dc5b 100644 --- a/docs/dev/articles/mfl_basics.html +++ b/docs/dev/articles/mfl_basics.html @@ -17,10 +17,13 @@ - + + + - + + @@ -43,7 +46,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -51,7 +54,7 @@ @@ -93,14 +116,58 @@ + + + @@ -109,11 +176,13 @@ -
    +

    MFL: Basics

    +

    Tan Ho

    +

    2021-06-09

    Source: vignettes/mfl_basics.Rmd @@ -124,10 +193,9 @@

    MFL: Basics

    In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on MFL.

    We’ll start by loading the packages:

    -
    -  library(ffscrapr)
-#> memorycache
-  library(dplyr)
+
    +  library(ffscrapr)
+  library(dplyr)
 #> 
 #> Attaching package: 'dplyr'
 #> The following objects are masked from 'package:stats':
@@ -136,15 +204,14 @@ 
    MFL: Basics
    
 #> The following objects are masked from 'package:base':
 #> 
 #>     intersect, setdiff, setequal, union
-  library(tidyr)
-
    
+  library(tidyr)

    Set up the connection to the league:

    -
    -ssb <- mfl_connect(season = 2020, 
-                   league_id = 54040, # from the URL of your league
-                   rate_limit_number = 3, 
-                   rate_limit_seconds = 6)
-ssb
+
    +ssb <- mfl_connect(season = 2020, 
+                   league_id = 54040, # from the URL of your league
+                   rate_limit_number = 3, 
+                   rate_limit_seconds = 6)
+ssb
 #> <MFL connection 2020_54040>
 #> List of 5
 #>  $ platform   : chr "MFL"
@@ -152,144 +219,143 @@ 
    MFL: Basics
    
 #>  $ league_id  : chr "54040"
 #>  $ APIKEY     : NULL
 #>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
-
    
+#>  - attr(*, "class")= chr "mfl_conn"

    I’ve done this with the mfl_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions are prefixed with “ff_”.

    Cool! Let’s have a quick look at what this league is like.

    -
    -
-ssb_summary <- ff_league(ssb)
+
    +ssb_summary <- ff_league(ssb)
+#> Using request.R from "ffscrapr"
+#> No encoding supplied: defaulting to UTF-8.
+#> No encoding supplied: defaulting to UTF-8.
 
-str(ssb_summary)
-#> tibble [1 x 13] (S3: tbl_df/tbl/data.frame)
+str(ssb_summary)
+#> tibble [1 x 14] (S3: tbl_df/tbl/data.frame)
 #>  $ league_id      : chr "54040"
 #>  $ league_name    : chr "The Super Smash Bros Dynasty League"
+#>  $ season         : int 2020
 #>  $ franchise_count: num 14
 #>  $ qb_type        : chr "1QB"
 #>  $ idp            : logi FALSE
 #>  $ scoring_flags  : chr "0.5_ppr, TEPrem, PP1D"
-#>  $ best_ball      : logi TRUE
+#>  $ best_ball      : logi FALSE
 #>  $ salary_cap     : logi FALSE
 #>  $ player_copies  : num 1
-#>  $ years_active   : chr "2018-2020"
+#>  $ years_active   : chr "2018-2021"
 #>  $ qb_count       : chr "1"
-#>  $ roster_size    : num 28
-#>  $ league_depth   : num 392
-
    
+#>  $ roster_size    : num 33
+#>  $ league_depth   : num 462

    Okay, so it’s the Smash Bros Dynasty League, it’s a 1QB league with 14 teams, best ball scoring, half ppr and point-per-first-down settings.

    Let’s grab the rosters now.

    -
    -ssb_rosters <- ff_rosters(ssb)
+
    +ssb_rosters <- ff_rosters(ssb)
+#> No encoding supplied: defaulting to UTF-8.
+#> No encoding supplied: defaulting to UTF-8.
+#> No encoding supplied: defaulting to UTF-8.
 
-head(ssb_rosters)
+head(ssb_rosters)
 #> # A tibble: 6 x 11
-#>   franchise_id franchise_name player_id player_name pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   13189     Engram, Ev~ TE    NYG    26.2
-#> 2 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    28  
-#> 3 0001         Team Pikachu   14085     Pollard, T~ RB    DAL    23.6
-#> 4 0001         Team Pikachu   13645     Smith, Tre~ WR    NOS    24.9
-#> 5 0001         Team Pikachu   12110     Brate, Cam~ TE    TBB    29.4
-#> 6 0001         Team Pikachu   13168     Reynolds, ~ WR    LAR    25.8
+#>   franchise_id franchise_name player_id player_name            pos   team    age
+#>   <chr>        <chr>          <chr>     <chr>                  <chr> <chr> <dbl>
+#> 1 0001         Team Pikachu   13189     Engram, Evan           TE    NYG    26.8
+#> 2 0001         Team Pikachu   11680     Landry, Jarvis         WR    CLE    28.5
+#> 3 0001         Team Pikachu   13645     Smith, Tre'Quan        WR    NOS    25.4
+#> 4 0001         Team Pikachu   12110     Brate, Cameron         TE    TBB    29.9
+#> 5 0001         Team Pikachu   13168     Reynolds, Josh         WR    LAR    26.3
+#> 6 0001         Team Pikachu   13793     Valdes-Scantling, Mar~ WR    GBP    26.7
 #> # ... with 4 more variables: roster_status <chr>, drafted <chr>,
-#> #   draft_year <chr>, draft_round <chr>
-
    
+#> #   draft_year <chr>, draft_round <chr>

    Values

    Cool! Let’s pull in some additional context by adding DynastyProcess player values.

    -
    -
-player_values <- dp_values("values-players.csv")
+
    +player_values <- dp_values("values-players.csv")
+#> No encoding supplied: defaulting to UTF-8.
 
 # The values are stored by fantasypros ID since that's where the data comes from. 
 # To join it to our rosters, we'll need playerID mappings.
 
-player_ids <- dp_playerids() %>% 
-  select(mfl_id,fantasypros_id)
+player_ids <- dp_playerids() %>% 
+  select(mfl_id,fantasypros_id)
+#> No encoding supplied: defaulting to UTF-8.
 
-player_values <- player_values %>% 
-  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
-  select(mfl_id,ecr_1qb,ecr_pos,value_1qb)
+player_values <- player_values %>% 
+  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
+  select(mfl_id,ecr_1qb,ecr_pos,value_1qb)
 
 # Drilling down to just 1QB values and IDs, we'll be joining it onto rosters and don't need the extra stuff
 
-ssb_values <- ssb_rosters %>% 
-  left_join(player_values, by = c("player_id"="mfl_id")) %>% 
-  arrange(franchise_id,desc(value_1qb))
+ssb_values <- ssb_rosters %>% 
+  left_join(player_values, by = c("player_id"="mfl_id")) %>% 
+  arrange(franchise_id,desc(value_1qb))
 
-head(ssb_values)
+head(ssb_values)
 #> # A tibble: 6 x 14
-#>   franchise_id franchise_name player_id player_name pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   14803     Edwards-He~ RB    KCC    21.6
-#> 2 0001         Team Pikachu   14835     Higgins, T~ WR    CIN    21.8
-#> 3 0001         Team Pikachu   14777     Burrow, Joe QB    CIN    23.9
-#> 4 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    28  
-#> 5 0001         Team Pikachu   14838     Shenault, ~ WR    JAC    22.1
-#> 6 0001         Team Pikachu   14779     Herbert, J~ QB    LAC    22.7
+#>   franchise_id franchise_name player_id player_name            pos   team    age
+#>   <chr>        <chr>          <chr>     <chr>                  <chr> <chr> <dbl>
+#> 1 0001         Team Pikachu   14803     Edwards-Helaire, Clyde RB    KCC    22.2
+#> 2 0001         Team Pikachu   14835     Higgins, Tee           WR    CIN    22.4
+#> 3 0001         Team Pikachu   14779     Herbert, Justin        QB    LAC    23.2
+#> 4 0001         Team Pikachu   14777     Burrow, Joe            QB    CIN    24.5
+#> 5 0001         Team Pikachu   14838     Shenault, Laviska      WR    JAC    22.7
+#> 6 0001         Team Pikachu   11680     Landry, Jarvis         WR    CLE    28.5
 #> # ... with 7 more variables: roster_status <chr>, drafted <chr>,
 #> #   draft_year <chr>, draft_round <chr>, ecr_1qb <dbl>, ecr_pos <dbl>,
-#> #   value_1qb <int>
-
    
+#> #   value_1qb <int>

    Let’s do some team summaries now!

    -
    +
    +value_summary <- ssb_values %>% 
+  group_by(franchise_id,franchise_name,pos) %>% 
+  summarise(total_value = sum(value_1qb,na.rm = TRUE)) %>%
+  ungroup() %>% 
+  group_by(franchise_id,franchise_name) %>% 
+  mutate(team_value = sum(total_value)) %>% 
+  ungroup() %>% 
+  pivot_wider(names_from = pos, values_from = total_value) %>% 
+  arrange(desc(team_value))
 
-value_summary <- ssb_values %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(total_value = sum(value_1qb,na.rm = TRUE)) %>%
-  ungroup() %>% 
-  group_by(franchise_id,franchise_name) %>% 
-  mutate(team_value = sum(total_value)) %>% 
-  ungroup() %>% 
-  pivot_wider(names_from = pos, values_from = total_value) %>% 
-  arrange(desc(team_value))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
-
-value_summary
+value_summary
 #> # A tibble: 14 x 7
-#>    franchise_id franchise_name      team_value    QB    RB    TE    WR
-#>    <chr>        <chr>                    <int> <int> <int> <int> <int>
-#>  1 0004         Team Ice Climbers        41671   583 20414  2586 18088
-#>  2 0006         Team King Dedede         38280  5972  5244  1556 25508
-#>  3 0009         Team Link                38244  2696  9503  4338 21707
-#>  4 0010         Team Yoshi               35176  2802  8720  6715 16939
-#>  5 0007         Team Kirby               34387  4111 15331   794 14151
-#>  6 0003         Team Captain Falcon      33427  1872  9091  5836 16628
-#>  7 0011         Team Diddy Kong          29432  1468 13640  2362 11962
-#>  8 0002         Team Simon Belmont       29264   389 10102    51 18722
-#>  9 0014         Team Luigi               28548  3588  5388  1167 18405
-#> 10 0005         Team Dr. Mario           26642    60  4055  3480 19047
-#> 11 0012         Team Mewtwo              25765   805 16638  1644  6678
-#> 12 0001         Team Pikachu             20597  2918  8584  1498  7597
-#> 13 0008         Team Fox                 20450  6458  7634   259  6099
-#> 14 0013         Team Ness                19976   881 14487  2033  2575
-
    
+#>    franchise_id franchise_name     team_value    QB    RB    TE    WR
+#>    <chr>        <chr>                   <int> <int> <int> <int> <int>
+#>  1 0010         Team Yoshi              43137  4230 16375  8288 14244
+#>  2 0009         Team Link               39922  3344 11766  6445 18367
+#>  3 0004         Team Ice Climbers       38018   132 19446  3414 15026
+#>  4 0006         Team King Dedede        36417  6066  3894  1436 25021
+#>  5 0003         Team Donkey Kong        34697  1843  7569  7425 17860
+#>  6 0007         Team Kirby              30252  3843 16002   474  9933
+#>  7 0005         Team Dr. Mario          28969    36  7290  3304 18339
+#>  8 0011         Team Diddy Kong         28452   818 13559  2514 11561
+#>  9 0002         Team Simon Belmont      27776    12 12296    14 15454
+#> 10 0012         Team Mewtwo             25089   468 18246  1338  5037
+#> 11 0013         Team Ness               21949  1108 16966  1958  1917
+#> 12 0014         Team Luigi              21267  1967  4430  1013 13857
+#> 13 0001         Team Pikachu            17637  3450  6079   884  7224
+#> 14 0008         Team Bowser             14357  4739  5226    39  4353

    So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages.

    -
    -value_summary_pct <- value_summary %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
+
    +value_summary_pct <- value_summary %>% 
+  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
+  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
 
-value_summary_pct
+value_summary_pct
 #> # A tibble: 14 x 7
-#>    franchise_id franchise_name      team_value    QB    RB    TE    WR
-#>    <chr>        <chr>                    <dbl> <dbl> <dbl> <dbl> <dbl>
-#>  1 0004         Team Ice Climbers        0.099 0.017 0.137 0.075 0.089
-#>  2 0006         Team King Dedede         0.091 0.173 0.035 0.045 0.125
-#>  3 0009         Team Link                0.091 0.078 0.064 0.126 0.106
-#>  4 0010         Team Yoshi               0.083 0.081 0.059 0.196 0.083
-#>  5 0007         Team Kirby               0.082 0.119 0.103 0.023 0.069
-#>  6 0003         Team Captain Falcon      0.079 0.054 0.061 0.17  0.081
-#>  7 0011         Team Diddy Kong          0.07  0.042 0.092 0.069 0.059
-#>  8 0002         Team Simon Belmont       0.069 0.011 0.068 0.001 0.092
-#>  9 0014         Team Luigi               0.068 0.104 0.036 0.034 0.09 
-#> 10 0005         Team Dr. Mario           0.063 0.002 0.027 0.101 0.093
-#> 11 0012         Team Mewtwo              0.061 0.023 0.112 0.048 0.033
-#> 12 0001         Team Pikachu             0.049 0.084 0.058 0.044 0.037
-#> 13 0008         Team Fox                 0.048 0.187 0.051 0.008 0.03 
-#> 14 0013         Team Ness                0.047 0.025 0.097 0.059 0.013
-
    
+#>    franchise_id franchise_name     team_value    QB    RB    TE    WR
+#>    <chr>        <chr>                   <dbl> <dbl> <dbl> <dbl> <dbl>
+#>  1 0010         Team Yoshi              0.106 0.132 0.103 0.215 0.08 
+#>  2 0009         Team Link               0.098 0.104 0.074 0.167 0.103
+#>  3 0004         Team Ice Climbers       0.093 0.004 0.122 0.089 0.084
+#>  4 0006         Team King Dedede        0.089 0.189 0.024 0.037 0.14 
+#>  5 0003         Team Donkey Kong        0.085 0.057 0.048 0.193 0.1  
+#>  6 0007         Team Kirby              0.074 0.12  0.101 0.012 0.056
+#>  7 0005         Team Dr. Mario          0.071 0.001 0.046 0.086 0.103
+#>  8 0011         Team Diddy Kong         0.07  0.026 0.085 0.065 0.065
+#>  9 0002         Team Simon Belmont      0.068 0     0.077 0     0.087
+#> 10 0012         Team Mewtwo             0.062 0.015 0.115 0.035 0.028
+#> 11 0013         Team Ness               0.054 0.035 0.107 0.051 0.011
+#> 12 0014         Team Luigi              0.052 0.061 0.028 0.026 0.078
+#> 13 0001         Team Pikachu            0.043 0.108 0.038 0.023 0.041
+#> 14 0008         Team Bowser             0.035 0.148 0.033 0.001 0.024

    Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

    @@ -297,41 +363,38 @@

    Age

    Another question you might ask: what is the average age of any given team?

    I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team!

    -
    -
-age_summary <- ssb_values %>% 
-  group_by(franchise_id,pos) %>% 
-  mutate(position_value = sum(value_1qb,na.rm=TRUE)) %>% 
-  ungroup() %>% 
-  mutate(weighted_age = age*value_1qb/position_value) %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(count = n(),
-            age = sum(weighted_age,na.rm = TRUE)) %>% 
-  pivot_wider(names_from = pos,
-              values_from = c(age,count))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
+
    +age_summary <- ssb_values %>% 
+  group_by(franchise_id,pos) %>% 
+  mutate(position_value = sum(value_1qb,na.rm=TRUE)) %>% 
+  ungroup() %>% 
+  mutate(weighted_age = age*value_1qb/position_value) %>% 
+  group_by(franchise_id,franchise_name,pos) %>% 
+  summarise(count = n(),
+            age = sum(weighted_age,na.rm = TRUE)) %>% 
+  pivot_wider(names_from = pos,
+              values_from = c(age,count))
 
-age_summary
+age_summary
 #> # A tibble: 14 x 10
 #> # Groups:   franchise_id, franchise_name [14]
-#>    franchise_id franchise_name age_QB age_RB age_TE age_WR count_QB count_RB
-#>    <chr>        <chr>           <dbl>  <dbl>  <dbl>  <dbl>    <int>    <int>
-#>  1 0001         Team Pikachu     23.4   22.0   26.0   23.9        3        6
-#>  2 0002         Team Simon Be~   32.6   24.7   24.4   24.1        8       11
-#>  3 0003         Team Captain ~   24.6   23.4   30.7   26.5        5        9
-#>  4 0004         Team Ice Clim~   28.1   24.9   26.0   27.5        5        9
-#>  5 0005         Team Dr. Mario   29.2   23.1   24.3   24.3        2        7
-#>  6 0006         Team King Ded~   25.4   25.5   25.8   24.8        3        9
-#>  7 0007         Team Kirby       24.2   24.4   29.2   27.5        4        9
-#>  8 0008         Team Fox         25.5   26.4   33.5   27.8        4       10
-#>  9 0009         Team Link        25.8   26.0   26.8   27.7        4       10
-#> 10 0010         Team Yoshi       28.4   21.9   27.3   24.7        3        7
-#> 11 0011         Team Diddy Ko~   31.3   26.1   24.2   24.0        4       11
-#> 12 0012         Team Mewtwo      28.8   24.0   24.4   24.2        5        7
-#> 13 0013         Team Ness        31.4   23.3   23.1   26.0        4       10
-#> 14 0014         Team Luigi       32.3   24.6   25.8   26.4        2        9
-#> # ... with 2 more variables: count_TE <int>, count_WR <int>
-
    
+#>    franchise_id franchise_name     age_QB age_RB age_TE age_WR count_QB count_RB
+#>    <chr>        <chr>               <dbl>  <dbl>  <dbl>  <dbl>    <int>    <int>
+#>  1 0001         Team Pikachu         23.8   22.9   26.4   23.5        4        8
+#>  2 0002         Team Simon Belmont   23.1   25.2   24.9   24.4        8       11
+#>  3 0003         Team Donkey Kong     25.3   23.6   31.6   26.9        5        8
+#>  4 0004         Team Ice Climbers    29.5   25.5   26.6   27.4        5        9
+#>  5 0005         Team Dr. Mario       32.3   23.2   24.9   24.7        2        7
+#>  6 0006         Team King Dedede     25.8   26.1   26.5   25.0        3       10
+#>  7 0007         Team Kirby           24.1   25.1   29.1   28.4        4        9
+#>  8 0008         Team Bowser          26.2   26.9   33.7   28.3        4       11
+#>  9 0009         Team Link            26.3   26.3   28.3   28.3        3       11
+#> 10 0010         Team Yoshi           28.3   22.3   27.8   25.9        2        6
+#> 11 0011         Team Diddy Kong      31.9   26.7   24.2   23.8        4       12
+#> 12 0012         Team Mewtwo          31.7   24.3   24.8   24.1        5        7
+#> 13 0013         Team Ness            32.4   23.6   23.6   26.2        5        9
+#> 14 0014         Team Luigi           32.6   25.0   23.5   27.0        3       10
+#> # ... with 2 more variables: count_TE <int>, count_WR <int>

    @@ -362,7 +425,20 @@

    - - - + + diff --git a/docs/dev/articles/mfl_basics_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/mfl_basics_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/mfl_basics_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/mfl_getendpoint.html b/docs/dev/articles/mfl_getendpoint.html index e15fa776..4d47b345 100644 --- a/docs/dev/articles/mfl_getendpoint.html +++ b/docs/dev/articles/mfl_getendpoint.html @@ -17,10 +17,13 @@ - + + + - + + @@ -43,7 +46,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06
    @@ -51,7 +54,7 @@ @@ -93,14 +116,58 @@ + + +
    @@ -109,11 +176,13 @@ -
    +

    MFL: Get Endpoint

    +

    Tan Ho

    +

    2021-06-09

    Source: vignettes/mfl_getendpoint.Rmd @@ -125,18 +194,16 @@

    MFL: Get Endpoint

    Creating custom MFL API calls

    -
    -library(ffscrapr)
-#> memorycache
-
    +

    The MFL API is extensive. If there is something you’d like to access beyond the current scope of ffscrapr, you can use the lower-level “mfl_getendpoint” function to create a GET request and access the data, while still using the authentication and rate-limiting features I’ve already created.

    Here is an example of how you can call one of the endpoints - in this case, let’s try searching for SFBX leagues through the leagueSearch endpoint.

    We’ll start by opening up this page, https://api.myfantasyleague.com/2020/api_info?STATE=test&CCAT=export&TYPE=leagueSearch, which is the “test” page for this particular endpoint. From here, we can see that the only parameter required is “SEARCH”.

    We need a connection object to pass into the mfl_getendpoint function, although in this example we don’t need to give it much since the endpoint doesn’t need a leagueID or username/password or APIKEY.

    -
    -conn <- mfl_connect(season = 2020)
+
    +conn <- mfl_connect(season = 2020)
 
-conn
+conn
 #> <MFL connection 2020_>
 #> List of 5
 #>  $ platform   : chr "MFL"
@@ -144,32 +211,30 @@ 
    
 #>  $ league_id  : chr(0) 
 #>  $ APIKEY     : NULL
 #>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
-
    
+#>  - attr(*, "class")= chr "mfl_conn"

    The parameters of the mfl_getendpoint function are conn, endpoint, and any other optional parameters required by the API.

    The function will automatically insert the league_id, API key, and/or authentication cookies from the connection object, and will request JSON for you - so you do not need to add any of these parameters.

    It is safest to assume that everything is case-sensitive: the endpoint must match the case displayed by MFL (“leagueSearch”) and the SEARCH argument name must be provided in upper-case.

    -
    -sfb_search <- mfl_getendpoint(conn,endpoint = "leagueSearch", SEARCH = "sfbx conference")
+
    +sfb_search <- mfl_getendpoint(conn,endpoint = "leagueSearch", SEARCH = "sfbx conference")
+#> Using request.R from "ffscrapr"
 
-str(sfb_search, max.level = 1)
+str(sfb_search, max.level = 1)
 #> List of 3
 #>  $ content :List of 3
 #>  $ query   : chr "https://api.myfantasyleague.com/2020/export?TYPE=leagueSearch&SEARCH=sfbx%20conference&JSON=1"
-#>  $ response:List of 10
+#>  $ response:List of 9
 #>   ..- attr(*, "class")= chr "response"
-#>  - attr(*, "class")= chr "mfl_api"
-
    
+#>  - attr(*, "class")= chr "mfl_api"

    The function returns a list with the query that was sent, the response that was received, and the content that was parsed - this helps you debug the result of the function later, by inspecting the query that was sent and the response that was received.

    -

    I like to extract the content with purrr::pluck and then convert it into a tibble and unnest the content from there, but you can use base R subsetting or magrittr::extract2 for the same purpose.

    -
    -
-search_results <- sfb_search %>% 
-  purrr::pluck("content","leagues","league") %>% 
-  tibble::tibble() %>% 
-  tidyr::unnest_wider(1)
+
    I like to extract the content with purrr::pluck and then convert it into a tibble and unnest the content from there, but you can use base R subsetting or magrittr::extract2 for the same purpose.
    
+
    +search_results <- sfb_search %>% 
+  purrr::pluck("content","leagues","league") %>% 
+  tibble::tibble() %>% 
+  tidyr::unnest_wider(1)
 
-head(search_results)
+head(search_results)
 #> # A tibble: 6 x 3
 #>   homeURL                                          name                id   
 #>   <chr>                                            <chr>               <chr>
@@ -178,45 +243,43 @@ 
    
 #> 3 http://www73.myfantasyleague.com/2020/home/17910 #SFBX Conference 11 17910
 #> 4 http://www73.myfantasyleague.com/2020/home/26453 #SFBX Conference 8  26453
 #> 5 http://www73.myfantasyleague.com/2020/home/27495 #SFBX Conference 2  27495
-#> 6 http://www73.myfantasyleague.com/2020/home/31492 #SFBX Conference 14 31492
-
    
+#> 6 http://www73.myfantasyleague.com/2020/home/31492 #SFBX Conference 14 31492

    Another Example: Trade Bait

    Here’s another example, this time with the trade bait endpoint: https://api.myfantasyleague.com/2020/api_info?STATE=test&CCAT=export&TYPE=tradeBait

    -
    -
-fog <- mfl_connect(season = 2019, league_id = 12608)
-
-fog_tradebait <- mfl_getendpoint(fog, "tradeBait", INCLUDE_DRAFT_PICKS = 1) %>% 
-  purrr::pluck("content","tradeBaits","tradeBait") %>% 
-  tibble::tibble() %>% 
-  tidyr::unnest_wider(1) %>% 
-  tidyr::separate_rows("willGiveUp",sep = ",") %>% 
-  dplyr::mutate(timestamp = lubridate::as_datetime(as.numeric(timestamp))) %>% 
-  dplyr::left_join(
-    ff_franchises(fog) %>% dplyr::select("franchise_id","franchise_name"),
-    by = c("franchise_id")
-  ) %>% 
-  dplyr::left_join(
-    mfl_players() %>% dplyr::select("player_id","player_name","pos","age","team"),
-    by = c("willGiveUp" = "player_id")
-  )
-
-head(fog_tradebait)
+
    +fog <- mfl_connect(season = 2019, league_id = 12608)
+
+fog_tradebait <- mfl_getendpoint(fog, "tradeBait", INCLUDE_DRAFT_PICKS = 1) %>% 
+  purrr::pluck("content","tradeBaits","tradeBait") %>% 
+  tibble::tibble() %>% 
+  tidyr::unnest_wider(1) %>% 
+  tidyr::separate_rows("willGiveUp",sep = ",") %>% 
+  dplyr::mutate(timestamp = lubridate::as_datetime(as.numeric(timestamp))) %>% 
+  dplyr::left_join(
+    ff_franchises(fog) %>% dplyr::select("franchise_id","franchise_name"),
+    by = c("franchise_id")
+  ) %>% 
+  dplyr::left_join(
+    mfl_players(fog) %>% dplyr::select("player_id","player_name","pos","age","team"),
+    by = c("willGiveUp" = "player_id")
+  )
+#> No encoding supplied: defaulting to UTF-8.
+
+head(fog_tradebait)
 #> # A tibble: 6 x 9
-#>   timestamp           franchise_id willGiveUp inExchangeFor franchise_name
-#>   <dttm>              <chr>        <chr>      <chr>         <chr>         
-#> 1 2019-11-23 14:49:15 0001         7394       "anyone need~ @JohnBoschFF  
-#> 2 2019-11-23 14:49:15 0001         13128      "anyone need~ @JohnBoschFF  
-#> 3 2020-02-01 05:43:29 0003         13319      ""            The Accountant
-#> 4 2020-02-01 05:43:29 0003         13139      ""            The Accountant
-#> 5 2020-02-01 05:43:29 0003         11675      ""            The Accountant
-#> 6 2020-02-01 15:49:25 0004         12171      ""            Kevin Cutillo 
+#>   timestamp           franchise_id willGiveUp inExchangeFor       franchise_name
+#>   <dttm>              <chr>        <chr>      <chr>               <chr>         
+#> 1 2019-11-23 14:49:15 0001         7394       "anyone need a QB?" @JohnBoschFF  
+#> 2 2019-11-23 14:49:15 0001         13128      "anyone need a QB?" @JohnBoschFF  
+#> 3 2020-02-01 05:43:29 0003         13319      ""                  The Accountant
+#> 4 2020-02-01 05:43:29 0003         13139      ""                  The Accountant
+#> 5 2020-02-01 05:43:29 0003         11675      ""                  The Accountant
+#> 6 2020-02-01 15:49:25 0004         12171      ""                  Kevin Cutillo 
 #> # ... with 4 more variables: player_name <chr>, pos <chr>, age <dbl>,
-#> #   team <chr>
-
    
+#> #   team <chr>
    @@ -242,7 +305,20 @@

    - - - + + diff --git a/docs/dev/articles/mfl_getendpoint_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/mfl_getendpoint_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/mfl_getendpoint_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/sleeper_basics.html b/docs/dev/articles/sleeper_basics.html index 31c79331..ece2f1d5 100644 --- a/docs/dev/articles/sleeper_basics.html +++ b/docs/dev/articles/sleeper_basics.html @@ -17,10 +17,13 @@ - + + + - + + @@ -43,7 +46,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06
    @@ -51,7 +54,7 @@ @@ -93,14 +116,58 @@ + + +
    @@ -109,11 +176,13 @@ -
    +

    Sleeper: Basics

    +

    Tan Ho

    +

    2021-06-09

    Source: vignettes/sleeper_basics.Rmd @@ -124,45 +193,36 @@

    Sleeper: Basics

    In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on Sleeper.

    We’ll start by loading the packages:

    -
    -  library(ffscrapr)
-#> memorycache
-  library(dplyr)
-#> 
-#> Attaching package: 'dplyr'
-#> The following objects are masked from 'package:stats':
-#> 
-#>     filter, lag
-#> The following objects are masked from 'package:base':
-#> 
-#>     intersect, setdiff, setequal, union
-  library(tidyr)
-
    +

    In Sleeper, unlike in other platforms, it’s very unlikely that you’ll remember the league ID - both because most people use the mobile app, and because it happens to be an 18 digit number! It’s a little more natural to start analyses from the username, so let’s start there!

    -
    -
-solarpool_leagues <- sleeper_userleagues("solarpool",2020)
+
    +solarpool_leagues <- sleeper_userleagues("solarpool",2020)
+#> Using request.R from "ffscrapr"
+#> No encoding supplied: defaulting to UTF-8.
+#> No encoding supplied: defaulting to UTF-8.
 
-head(solarpool_leagues)
+head(solarpool_leagues)
 #> # A tibble: 3 x 4
 #>   league_name                   league_id        franchise_name franchise_id    
 #>   <chr>                         <chr>            <chr>          <chr>           
 #> 1 z_dynastyprocess-test         633501761776197~ solarpool      202892038360801~
 #> 2 The JanMichaelLarkin Dynasty~ 522458773317046~ solarpool      202892038360801~
-#> 3 DLP Dynasty League            521379020332068~ DLP::thoriyan  202892038360801~
-
    
+#> 3 DLP Dynasty League            521379020332068~ DLP::thoriyan  202892038360801~

    Let’s pull the JML league ID from here for analysis, and set up a Sleeper connection object.

    -
    -jml_id <- solarpool_leagues %>% 
-  filter(league_name == "The JanMichaelLarkin Dynasty League") %>% 
-  pull(league_id)
+
    +jml_id <- solarpool_leagues %>% 
+  filter(league_name == "The JanMichaelLarkin Dynasty League") %>% 
+  pull(league_id)
 
-jml_id # For quick analyses, I'm not above copy-pasting the league ID instead!
+jml_id # For quick analyses, I'm not above copy-pasting the league ID instead!
 #> [1] "522458773317046272"
 
-jml <- sleeper_connect(season = 2020, league_id = jml_id)
+jml <- sleeper_connect(season = 2020, league_id = jml_id)
 
-jml
+jml
 #> <Sleeper connection 2020_522458773317046272>
 #> List of 5
 #>  $ platform : chr "Sleeper"
@@ -170,18 +230,18 @@ 
    Sleeper: Basics
    
 #>  $ user_name: NULL
 #>  $ league_id: chr "522458773317046272"
 #>  $ user_id  : NULL
-#>  - attr(*, "class")= chr "sleeper_conn"
-
    
+#>  - attr(*, "class")= chr "sleeper_conn"

    I’ve done this with the sleeper_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions after this point are prefixed with “ff_”.

    Cool! Let’s have a quick look at what this league is like.

    -
    +
    +jml_summary <- ff_league(jml)
+#> No encoding supplied: defaulting to UTF-8.
 
-jml_summary <- ff_league(jml)
-
-str(jml_summary)
-#> tibble [1 x 15] (S3: tbl_df/tbl/data.frame)
+str(jml_summary)
+#> tibble [1 x 16] (S3: tbl_df/tbl/data.frame)
 #>  $ league_id      : chr "522458773317046272"
 #>  $ league_name    : chr "The JanMichaelLarkin Dynasty League"
+#>  $ season         : int 2020
 #>  $ league_type    : chr "dynasty"
 #>  $ franchise_count: num 12
 #>  $ qb_type        : chr "1QB"
@@ -194,114 +254,112 @@ 
    Sleeper: Basics
    
 #>  $ qb_count       : chr "1"
 #>  $ roster_size    : int 25
 #>  $ league_depth   : num 300
-#>  $ prev_league_ids: chr "386236959468675072"
-
    
+#>  $ prev_league_ids: chr "386236959468675072"

    Okay, so it’s the JanMichaelLarkin Dynasty League, it’s a 1QB league with 12 teams, half ppr scoring, and rosters about 300 players.

    Let’s grab the rosters now.

    -
    -jml_rosters <- ff_rosters(jml)
-
-head(jml_rosters)
+
    +jml_rosters <- ff_rosters(jml)
+#> No encoding supplied: defaulting to UTF-8.
+#> No encoding supplied: defaulting to UTF-8.
+#> No encoding supplied: defaulting to UTF-8.
+#> No encoding supplied: defaulting to UTF-8.
+
+head(jml_rosters)
 #> # A tibble: 6 x 7
 #>   franchise_id franchise_name player_id player_name     pos   team    age
 #>   <chr>        <chr>          <chr>     <chr>           <chr> <chr> <dbl>
-#> 1 1            Fake News      2025      Albert Wilson   WR    MIA    28.4
-#> 2 1            Fake News      4089      Gerald Everett  TE    LAR    26.4
-#> 3 1            Fake News      6068      Devine Ozigbo   RB    JAX    24.1
-#> 4 1            Fake News      4036      Corey Davis     WR    TEN    25.9
-#> 5 1            Fake News      1339      Zach Ertz       TE    PHI    30  
-#> 6 1            Fake News      5068      Kerryon Johnson RB    DET    23.4
-
    
+#> 1 1            Fake News      1110      T.Y. Hilton     WR    IND    31.6
+#> 2 1            Fake News      1339      Zach Ertz       TE    PHI    30.6
+#> 3 1            Fake News      1426      DeAndre Hopkins WR    ARI    29  
+#> 4 1            Fake News      1825      Jarvis Landry   WR    CLE    28.5
+#> 5 1            Fake News      2025      Albert Wilson   WR    MIA    28.9
+#> 6 1            Fake News      2197      Brandin Cooks   WR    HOU    27.7

    Values

    Cool! Let’s pull in some additional context by adding DynastyProcess player values.

    -
    -
-player_values <- dp_values("values-players.csv")
+
    +player_values <- dp_values("values-players.csv")
+#> No encoding supplied: defaulting to UTF-8.
 
 # The values are stored by fantasypros ID since that's where the data comes from. 
 # To join it to our rosters, we'll need playerID mappings.
 
-player_ids <- dp_playerids() %>% 
-  select(sleeper_id,fantasypros_id)
+player_ids <- dp_playerids() %>% 
+  select(sleeper_id,fantasypros_id)
+#> No encoding supplied: defaulting to UTF-8.
 
-player_values <- player_values %>% 
-  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
-  select(sleeper_id,ecr_1qb,ecr_pos,value_1qb)
+player_values <- player_values %>% 
+  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
+  select(sleeper_id,ecr_1qb,ecr_pos,value_1qb)
 
 # Drilling down to just 1QB values and IDs, we'll be joining it onto rosters and don't need the extra stuff
 
-jml_values <- jml_rosters %>% 
-  left_join(player_values, by = c("player_id"="sleeper_id")) %>% 
-  arrange(franchise_id,desc(value_1qb))
+jml_values <- jml_rosters %>% 
+  left_join(player_values, by = c("player_id"="sleeper_id")) %>% 
+  arrange(franchise_id,desc(value_1qb))
 
-head(jml_values)
+head(jml_values)
 #> # A tibble: 6 x 10
-#>   franchise_id franchise_name player_id player_name pos   team    age ecr_1qb
-#>   <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>   <dbl>
-#> 1 1            Fake News      1426      DeAndre Ho~ WR    ARI    28.4     6.7
-#> 2 1            Fake News      4866      Saquon Bar~ RB    NYG    23.8     7.7
-#> 3 1            Fake News      4037      Chris Godw~ WR    TB     24.7    15.7
-#> 4 1            Fake News      4199      Aaron Jones RB    GB     26      28.3
-#> 5 1            Fake News      4098      Kareem Hunt RB    CLE    25.3    47.7
-#> 6 1            Fake News      4137      James Conn~ RB    PIT    25.5    71.3
-#> # ... with 2 more variables: ecr_pos <dbl>, value_1qb <int>
-
    
+#>   franchise_id franchise_name player_id player_name    pos   team    age ecr_1qb
+#>   <chr>        <chr>          <chr>     <chr>          <chr> <chr> <dbl>   <dbl>
+#> 1 1            Fake News      4866      Saquon Barkley RB    NYG    24.3     3.2
+#> 2 1            Fake News      1426      DeAndre Hopki~ WR    ARI    29      17.2
+#> 3 1            Fake News      4199      Aaron Jones    RB    GB     26.5    21.5
+#> 4 1            Fake News      4037      Chris Godwin   WR    TB     25.3    31.7
+#> 5 1            Fake News      4017      Deshaun Watson QB    HOU    25.7    52.2
+#> 6 1            Fake News      4098      Kareem Hunt    RB    CLE    25.8    57  
+#> # ... with 2 more variables: ecr_pos <dbl>, value_1qb <int>

    Let’s do some team summaries now!

    -
    -
-value_summary <- jml_values %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(total_value = sum(value_1qb,na.rm = TRUE)) %>%
-  ungroup() %>% 
-  group_by(franchise_id,franchise_name) %>% 
-  mutate(team_value = sum(total_value)) %>% 
-  ungroup() %>% 
-  pivot_wider(names_from = pos, values_from = total_value) %>% 
-  arrange(desc(team_value))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
-
-value_summary
+
    +value_summary <- jml_values %>% 
+  group_by(franchise_id,franchise_name,pos) %>% 
+  summarise(total_value = sum(value_1qb,na.rm = TRUE)) %>%
+  ungroup() %>% 
+  group_by(franchise_id,franchise_name) %>% 
+  mutate(team_value = sum(total_value)) %>% 
+  ungroup() %>% 
+  pivot_wider(names_from = pos, values_from = total_value) %>% 
+  arrange(desc(team_value))
+
+value_summary
 #> # A tibble: 12 x 8
 #>    franchise_id franchise_name    team_value    QB    RB    TE    WR    FB
 #>    <chr>        <chr>                  <int> <int> <int> <int> <int> <int>
-#>  1 4            The FANTom Menace      51911  3133 15663  2637 30478    NA
-#>  2 1            Fake News              47805   654 20073  4097 22981    NA
-#>  3 3            solarpool              46000  5907 21904  1321 16868    NA
-#>  4 11           Permian Panthers       43204  4187 11979  5266 21772    NA
-#>  5 12           jaydk                  39289  1972 15583  4343 17391    NA
-#>  6 8            Hocka Flocka           35007  1235 19661  2304 11807    NA
-#>  7 6            sox05syd               33925  3288  4000  7099 19538    NA
-#>  8 9            ZPMiller97             30612  4122 11320  2585 12585    NA
-#>  9 5            Barbarians             29758  4391 16191  2713  6463    NA
-#> 10 7            Flipadelphia05         23353  4078  7371   414 11490    NA
-#> 11 10           JMLarkin               21571   926   396  1389 18860     0
-#> 12 2            KingGabe               18830   543  4577   148 13562    NA
-
    
+#>  1 3            solarpool              47413  7134 23965   722 15592    NA
+#>  2 11           Permian Panthers       44224  3268 13604  7280 20072    NA
+#>  3 4            The FANTom Menace      44217  2884  9596  2377 29360    NA
+#>  4 1            Fake News              43470  3457 20135  3454 16424    NA
+#>  5 8            Hocka Flocka           38742  1450 21482  2352 13458    NA
+#>  6 12           jaydk                  36636  1885 18415  3518 12818    NA
+#>  7 5            Barbarians             33947  3207 19473  5680  5587    NA
+#>  8 6            sox05syd               31538  3458  4917  8830 14333    NA
+#>  9 9            ZPMiller97             27327  2414 12715  2141 10057    NA
+#> 10 7            Flipadelphia05         22434  2316  7814  1181 11123    NA
+#> 11 2            KingGabe               21067   101  6726    17 14223    NA
+#> 12 10           JMLarkin               16745   449   109   962 15225     0

    So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages - this helps normalise it to your league environment.

    -
    -value_summary_pct <- value_summary %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
+
    +value_summary_pct <- value_summary %>% 
+  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
+  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
 
-value_summary_pct
+value_summary_pct
 #> # A tibble: 12 x 8
 #>    franchise_id franchise_name    team_value    QB    RB    TE    WR    FB
 #>    <chr>        <chr>                  <dbl> <dbl> <dbl> <dbl> <dbl> <int>
-#>  1 4            The FANTom Menace      0.123 0.091 0.105 0.077 0.15     NA
-#>  2 1            Fake News              0.113 0.019 0.135 0.119 0.113    NA
-#>  3 3            solarpool              0.109 0.172 0.147 0.038 0.083    NA
-#>  4 11           Permian Panthers       0.103 0.122 0.081 0.153 0.107    NA
-#>  5 12           jaydk                  0.093 0.057 0.105 0.127 0.085    NA
-#>  6 8            Hocka Flocka           0.083 0.036 0.132 0.067 0.058    NA
-#>  7 6            sox05syd               0.081 0.095 0.027 0.207 0.096    NA
-#>  8 9            ZPMiller97             0.073 0.12  0.076 0.075 0.062    NA
-#>  9 5            Barbarians             0.071 0.128 0.109 0.079 0.032    NA
-#> 10 7            Flipadelphia05         0.055 0.118 0.05  0.012 0.056    NA
-#> 11 10           JMLarkin               0.051 0.027 0.003 0.04  0.093     0
-#> 12 2            KingGabe               0.045 0.016 0.031 0.004 0.067    NA
-
    
+#>  1 3            solarpool              0.116 0.223 0.151 0.019 0.087    NA
+#>  2 11           Permian Panthers       0.108 0.102 0.086 0.189 0.113    NA
+#>  3 4            The FANTom Menace      0.108 0.09  0.06  0.062 0.165    NA
+#>  4 1            Fake News              0.107 0.108 0.127 0.09  0.092    NA
+#>  5 8            Hocka Flocka           0.095 0.045 0.135 0.061 0.075    NA
+#>  6 12           jaydk                  0.09  0.059 0.116 0.091 0.072    NA
+#>  7 5            Barbarians             0.083 0.1   0.123 0.147 0.031    NA
+#>  8 6            sox05syd               0.077 0.108 0.031 0.229 0.08     NA
+#>  9 9            ZPMiller97             0.067 0.075 0.08  0.056 0.056    NA
+#> 10 7            Flipadelphia05         0.055 0.072 0.049 0.031 0.062    NA
+#> 11 2            KingGabe               0.052 0.003 0.042 0     0.08     NA
+#> 12 10           JMLarkin               0.041 0.014 0.001 0.025 0.085     0

    Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

    @@ -309,41 +367,38 @@

    Age

    Another question you might ask: what is the average age of any given team?

    I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team - including who might be looking to offload an older veteran!

    -
    -
-age_summary <- jml_values %>% 
-  group_by(franchise_id,pos) %>% 
-  mutate(position_value = sum(value_1qb,na.rm=TRUE)) %>% 
-  ungroup() %>% 
-  mutate(weighted_age = age*value_1qb/position_value,
-         weighted_age = round(weighted_age, 1)) %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(count = n(),
-            age = sum(weighted_age,na.rm = TRUE)) %>% 
-  pivot_wider(names_from = pos,
-              values_from = c(age,count))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
-
-age_summary
+
    +age_summary <- jml_values %>% 
+  group_by(franchise_id,pos) %>% 
+  mutate(position_value = sum(value_1qb,na.rm=TRUE)) %>% 
+  ungroup() %>% 
+  mutate(weighted_age = age*value_1qb/position_value,
+         weighted_age = round(weighted_age, 1)) %>% 
+  group_by(franchise_id,franchise_name,pos) %>% 
+  summarise(count = n(),
+            age = sum(weighted_age,na.rm = TRUE)) %>% 
+  pivot_wider(names_from = pos,
+              values_from = c(age,count))
+
+age_summary
 #> # A tibble: 12 x 12
 #> # Groups:   franchise_id, franchise_name [12]
-#>    franchise_id franchise_name age_QB age_RB age_TE age_WR age_FB count_QB
-#>    <chr>        <chr>           <dbl>  <dbl>  <dbl>  <dbl>  <dbl>    <int>
-#>  1 1            Fake News        33.1   24.8   26     27       NA        3
-#>  2 10           JMLarkin         29.1   25.8   26.6   25.2      0        3
-#>  3 11           Permian Panth~   23.8   22.9   31     25.7     NA        3
-#>  4 12           jaydk            29.7   25.1   25.7   27.5     NA        4
-#>  5 2            KingGabe         24.4   22     31.3   21.7     NA        5
-#>  6 3            solarpool        25.4   25.2   26.2   27.8     NA        5
-#>  7 4            The FANTom Me~   28.6   24     24     26.3     NA        4
-#>  8 5            Barbarians       24.8   24.3   27.8   26.2     NA        2
-#>  9 6            sox05syd         24.4   23.4   26.8   24.5     NA        3
-#> 10 7            Flipadelphia05   32.6   25.4   26.2   26.1     NA        2
-#> 11 8            Hocka Flocka     29.9   24.3   24.1   23.6     NA        3
-#> 12 9            ZPMiller97       24.2   24.1   26     24.9     NA        3
+#>    franchise_id franchise_name    age_QB age_RB age_TE age_WR age_FB count_QB
+#>    <chr>        <chr>              <dbl>  <dbl>  <dbl>  <dbl>  <dbl>    <int>
+#>  1 1            Fake News           26.5   25.3   26     27.7     NA        3
+#>  2 10           JMLarkin            28.4   27.5   26     25.4      0        3
+#>  3 11           Permian Panthers    24.2   23.2   31.5   25.8     NA        4
+#>  4 12           jaydk               31.8   25.6   25.9   28.0     NA        4
+#>  5 2            KingGabe            27     22.5   26.7   22.3     NA        5
+#>  6 3            solarpool           25.5   25.5   26.5   27.7     NA        5
+#>  7 4            The FANTom Menace   28.4   24.7   24.4   26.8     NA        5
+#>  8 5            Barbarians          25.2   24.4   28.5   26.9     NA        3
+#>  9 6            sox05syd            23.8   23.9   27.3   25.4     NA        3
+#> 10 7            Flipadelphia05      33     25.1   27.4   26.6     NA        2
+#> 11 8            Hocka Flocka        31.5   24.2   23.9   23.7     NA        3
+#> 12 9            ZPMiller97          24.6   23.9   26.6   24.9     NA        3
 #> # ... with 4 more variables: count_RB <int>, count_TE <int>, count_WR <int>,
-#> #   count_FB <int>
-
    
+#> #   count_FB <int>

    @@ -374,7 +429,20 @@

    - - - + + diff --git a/docs/dev/articles/sleeper_basics_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/sleeper_basics_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/sleeper_basics_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/articles/sleeper_getendpoint.html b/docs/dev/articles/sleeper_getendpoint.html index 2d131608..cd80046d 100644 --- a/docs/dev/articles/sleeper_getendpoint.html +++ b/docs/dev/articles/sleeper_getendpoint.html @@ -17,10 +17,13 @@ - + + + - + + @@ -43,7 +46,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06
    @@ -51,7 +54,7 @@ @@ -93,14 +116,58 @@ + + +
    @@ -109,11 +176,13 @@ -
    +

    Sleeper: Get Endpoint

    +

    Tan Ho

    +

    2021-06-09

    Source: vignettes/sleeper_getendpoint.Rmd @@ -125,95 +194,77 @@

    Sleeper: Get Endpoint

    Creating custom Sleeper API calls

    -
    -library(ffscrapr)
-#> memorycache
-library(dplyr)
-#> 
-#> Attaching package: 'dplyr'
-#> The following objects are masked from 'package:stats':
-#> 
-#>     filter, lag
-#> The following objects are masked from 'package:base':
-#> 
-#>     intersect, setdiff, setequal, union
-library(purrr)
-library(glue)
-#> 
-#> Attaching package: 'glue'
-#> The following object is masked from 'package:dplyr':
-#> 
-#>     collapse
-
    +

    The Sleeper API is pretty extensive. If there is something you’d like to access that’s beyond the current scope of ffscrapr, you can use the lower-level “sleeper_getendpoint” function to create a GET request and access the data, while still using the authentication and rate-limiting features I’ve already created.

    Here is an example of how you can call one of the endpoints - in this case, let’s pull Sleeper’s trending players data!

    We’ll start by opening up this page, https://docs.sleeper.app/#trending-players, which is the documentation page for this particular endpoint. From here, we can see that Sleeper’s documentation says the endpoint is:

    https://api.sleeper.app/v1/players/<sport>/trending/<type>?lookback_hours=<hours>&limit=<int>

    -

    The sleeper_getendpoint function already has the https://api.sleeper.app/v1/ part encoded, so all we’ll need to do is pass in the remaining part of the URL.

    -

    We’ll need to fill out the other parameters as per the documentation: sport is NFL, type is either add or drop, lookback_hours is optional in hours, and limit is optional in number of rows. We can use the glue package to parameterise this, although you can also use base R’s paste function just as easily.

    -
    -
-type <- "add"
-lookback_hours <- 48
-limit_rows <- 10
+
    On first glance, you can see that it takes two parameters within the endpoint call itself (sport and type) and we can further adjust the query with HTTP parameters lookback_hours and limit. The sleeper_getendpoint function already has the https://api.sleeper.app/v1/ part encoded, so all we’ll need to do is pass in the remaining part of the URL as the endpoint, and pass the HTTP parameters in as arguments to the function (these are case sensitive!)
    
+
    We can use the glue package to parameterise this, although you can also use base R’s paste function just as easily.
    
+
    +
+type <- "add"
 
-query <- glue::glue('players/nfl/trending/{type}?lookback_hours={lookback_hours}&limit={limit_rows}')
+query <- glue::glue('players/nfl/trending/{type}')
 
-query
-#> players/nfl/trending/add?lookback_hours=48&limit=10
+query
+#> players/nfl/trending/add
 
-response_trending <- sleeper_getendpoint(query)
+response_trending <- sleeper_getendpoint(query,lookback_hours = 48, limit = 10)
+#> Using request.R from "ffscrapr"
 
-str(response_trending, max.level = 1)
+str(response_trending, max.level = 1)
 #> List of 3
 #>  $ content :List of 10
 #>  $ query   : chr "https://api.sleeper.app/v1/players/nfl/trending/add?lookback_hours=48&limit=10"
-#>  $ response:List of 10
+#>  $ response:List of 9
 #>   ..- attr(*, "class")= chr "response"
-#>  - attr(*, "class")= chr "sleeper_api"
-
    
+#>  - attr(*, "class")= chr "sleeper_api"

    Along with the parsed content, the function also returns the query and the response that was sent by the server. These are helpful for debugging, but we can turn the content into a dataframe with some careful application of the tidyverse.

    -
    +
    +
+df_trending <- response_trending %>% 
+  purrr::pluck("content") %>% 
+  dplyr::bind_rows()
 
-df_trending <- response_trending %>% 
-  purrr::pluck("content") %>% 
-  dplyr::bind_rows()
-
-head(df_trending)
+head(df_trending)
 #> # A tibble: 6 x 2
 #>   player_id  count
 #>   <chr>      <int>
-#> 1 6918      576024
-#> 2 2306      317318
-#> 3 LAC       252331
-#> 4 5347      235951
-#> 5 4994      190242
-#> 6 MIA       132275
-
    
+#> 1 4187      270285
+#> 2 6156      142272
+#> 3 1169      129162
+#> 4 5100       84788
+#> 5 4381       64578
+#> 6 333        62680

    This isn’t very helpful without knowing who these players are, so let’s pull the players endpoint in as well - this one has a convenient function!

    -
    -
-players <- sleeper_players() %>% 
-  select(player_id, player_name, pos, team, age)
+
    +
+players <- sleeper_players() %>% 
+  select(player_id, player_name, pos, team, age)
+#> No encoding supplied: defaulting to UTF-8.
 
-trending <- df_trending %>% 
-  left_join(players, by = "player_id")
+trending <- df_trending %>% 
+  left_join(players, by = "player_id")
 
-trending
+trending
 #> # A tibble: 10 x 6
-#>    player_id  count player_name              pos   team    age
-#>    <chr>      <int> <chr>                    <chr> <chr> <dbl>
-#>  1 6918      576024 Salvon Ahmed             RB    MIA    21.9
-#>  2 2306      317318 Jameis Winston           QB    NO     26.9
-#>  3 LAC       252331 <NA>                     DEF   LAC    NA  
-#>  4 5347      235951 Nyheim Hines             RB    IND    24  
-#>  5 4994      190242 Kalen Ballage            RB    LAC    24.9
-#>  6 MIA       132275 <NA>                     DEF   MIA    NA  
-#>  7 5086      117850 Marquez Valdes-Scantling WR    GB     26.1
-#>  8 3209      113404 Devontae Booker          RB    LV     28.5
-#>  9 6819      112572 Michael Pittman          WR    IND    23.1
-#> 10 5890      106069 Damien Harris            RB    NE     23.8
-
    
+#>    player_id  count player_name       pos   team    age
+#>    <chr>      <int> <chr>             <chr> <chr> <dbl>
+#>  1 4187      270285 Brian Hill        RB    TEN    25.6
+#>  2 6156      142272 Benny Snell       RB    PIT    23.3
+#>  3 1169      129162 Robert Griffin    QB    BAL    31.3
+#>  4 5100       84788 Jordan Wilkins    RB    IND    26.9
+#>  5 4381       64578 Taysom Hill       QB    NO     30.8
+#>  6 333        62680 Ryan Fitzpatrick  QB    WAS    38.5
+#>  7 NYG        57945 <NA>              DEF   NYG    NA  
+#>  8 4147       52537 Samaje Perine     RB    CIN    25.7
+#>  9 3976       50102 Mitchell Trubisky QB    BUF    26.8
+#> 10 943        45866 Kyle Rudolph      TE    NYG    31.6

    There - this means something to us now! As of this writing (2020-11-10), Kalen Ballage was the most added player. Haven’t we been bitten by this before?

    @@ -240,7 +291,20 @@

    - - - + + diff --git a/docs/dev/articles/sleeper_getendpoint_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/sleeper_getendpoint_files/header-attrs-2.7/header-attrs.js new file mode 100644 index 00000000..dd57d92e --- /dev/null +++ b/docs/dev/articles/sleeper_getendpoint_files/header-attrs-2.7/header-attrs.js @@ -0,0 +1,12 @@ +// Pandoc 2.9 adds attributes on both header and div. We remove the former (to +// be compatible with the behavior of Pandoc < 2.8). +document.addEventListener('DOMContentLoaded', function(e) { + var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); + var i, h, a; + for (i = 0; i < hs.length; i++) { + h = hs[i]; + if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 + a = h.attributes; + while (a.length > 0) h.removeAttribute(a[0].name); + } +}); diff --git a/docs/dev/authors.html b/docs/dev/authors.html index 7c44f73f..63c8bd40 100644 --- a/docs/dev/authors.html +++ b/docs/dev/authors.html @@ -44,12 +44,19 @@ + + + + + + - + + @@ -84,7 +91,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06
    @@ -92,7 +99,7 @@ + +
    @@ -157,6 +232,14 @@

    Authors

    Tan Ho. Author, maintainer.

    +
  • +

    Tony ElHabr. Contributor. +

    +
    • +
  • +

    Joe Sydlowski. Contributor. +

    +
    • @@ -178,6 +261,23 @@

    Authors

    + + + diff --git a/docs/dev/docsearch.json b/docs/dev/docsearch.json new file mode 100644 index 00000000..153eb393 --- /dev/null +++ b/docs/dev/docsearch.json @@ -0,0 +1,95 @@ +{ + "index_name": "dynastyprocess", + "start_urls": [ + { + "url": "ffscrapr.dynastyprocess.com/index.html", + "selectors_key": "homepage", + "tags": [ + "homepage" + ] + }, + { + "url": "ffscrapr.dynastyprocess.com/reference", + "selectors_key": "reference", + "tags": [ + "reference" + ] + }, + { + "url": "ffscrapr.dynastyprocess.com/articles", + "selectors_key": "articles", + "tags": [ + "articles" + ] + } + ], + "stop_urls": [ + "/reference/$", + "/reference/index.html", + "/articles/$", + "/articles/index.html" + ], + "sitemap_urls": [ + "ffscrapr.dynastyprocess.com/sitemap.xml" + ], + "selectors": { + "homepage": { + "lvl0": { + "selector": ".contents h1", + "default_value": "ffscrapr Home page" + }, + "lvl1": { + "selector": ".contents h2" + }, + "lvl2": { + "selector": ".contents h3", + "default_value": "Context" + }, + "lvl3": ".ref-arguments td, .ref-description", + "text": ".contents p, .contents li, .contents .pre" + }, + "reference": { + "lvl0": { + "selector": ".contents h1" + }, + "lvl1": { + "selector": ".contents .name", + "default_value": "Argument" + }, + "lvl2": { + "selector": ".ref-arguments th", + "default_value": "Description" + }, + "lvl3": ".ref-arguments td, .ref-description", + "text": ".contents p, .contents li" + }, + "articles": { + "lvl0": { + "selector": ".contents h1" + }, + "lvl1": { + "selector": ".contents .name" + }, + "lvl2": { + "selector": ".contents h2, .contents h3", + "default_value": "Context" + }, + "text": ".contents p, .contents li" + } + }, + "selectors_exclude": [ + ".dont-index" + ], + "min_indexed_level": 2, + "custom_settings": { + "separatorsToIndex": "_", + "attributesToRetrieve": [ + "hierarchy", + "content", + "anchor", + "url", + "url_without_anchor" + ] + } +} + diff --git a/docs/dev/extra.css b/docs/dev/extra.css 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zW1UDuB1IY{{^lqWR!MTVBYs1_k9Q+#ct4?3@OH{6=kH5-pNLAf9Z`>C_&%po=RjD8 zd^fURR-_ToA!<7c{$3z_8Dj1G(C4ulwS*ffpS)-v{C^ZVQYh#?p-Yb`ydsC^&vPH6 zBG;jp=y>RRq^K`9)Q=H8f%UaxaA(f%(p()O{@cg6bItUKx3x1I%ycv7WZcD^({f*D zHii2}SwP}*HDkJKQ)hSPqPI+!EB@Sfq7?g2oRW8WTOxeo9x0K*{i%pGMXZ1vE0;!1 zSo_YNZ2Y=5&Dqgszc`)){wX*kO1Q0ElP4X>AV=dkC!d~rAS+$cp7Q|!= diff --git a/docs/dev/index.html b/docs/dev/index.html index 92854e71..4b8deb40 100644 --- a/docs/dev/index.html +++ b/docs/dev/index.html @@ -5,7 +5,7 @@ -API Client for Fantasy Football League Platforms • ffscrapr +ffscrapr • an R package for Fantasy Football APIs • ffscrapr @@ -17,12 +17,14 @@ - - - - + + + + + + + @@ -45,7 +47,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -53,7 +55,7 @@ + + + @@ -111,83 +181,89 @@

    -ffscrapr +ffscrapr

    An R Client for Fantasy Football League APIs

    -

    Helps access various Fantasy Football APIs (i.e. MFL, Sleeper, Fleaflicker, ESPN, Yahoo, potentially other platforms) by handling authentication/rate-limiting/caching, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.

    +

    Helps access various Fantasy Football APIs (currently MFL, Sleeper, Fleaflicker, and ESPN - eventually Yahoo, potentially others) by handling authentication/rate-limiting/caching, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.

    Installation

    -

    Version 1.1.0 is now on CRAN 🎉 and can be installed with:

    -
    -install.packages("ffscrapr")
-# or from GitHub release
-# install.packages("devtools") OR install.packages("remotes")
-# remotes is a subpackage of devtools
-remotes::install_github("dynastyprocess/ffscrapr",ref = "v1.0.0")
-
    +

    Version 1.4.2 is now on CRAN 🎉 and can be installed with:

    +
    +install.packages("ffscrapr")
+# or from GitHub release with the remotes package via:
+# install.packages("remotes")
+remotes::install_github("dynastyprocess/ffscrapr", ref = "v1.4.2")

    Install the development version from GitHub with:

    -
    -remotes::install_github("dynastyprocess/ffscrapr")
-
    +
    +remotes::install_github("dynastyprocess/ffscrapr", ref = "dev")

    The dev version has a separate documentation site here.

    Usage

    All ffscrapr functions start with a connection object created by ff_connect(), which stores connection, authentication, and other user-defined parameters. This object is used by all other functions to help return the correct data.

    -
    -library(ffscrapr)
-#> memorycache
-ssb <- ff_connect(platform = "mfl", league_id = "54040", season = 2020)
+
    +library(ffscrapr)
+ssb <- ff_connect(platform = "mfl", league_id = "54040", season = 2020)
 
 # Get a summary of league settings
-ff_league(ssb) %>% str()
-#> tibble [1 x 13] (S3: tbl_df/tbl/data.frame)
+ff_league(ssb) %>% str()
+#> tibble [1 x 14] (S3: tbl_df/tbl/data.frame)
 #>  $ league_id      : chr "54040"
 #>  $ league_name    : chr "The Super Smash Bros Dynasty League"
+#>  $ season         : int 2020
 #>  $ franchise_count: num 14
 #>  $ qb_type        : chr "1QB"
 #>  $ idp            : logi FALSE
 #>  $ scoring_flags  : chr "0.5_ppr, TEPrem, PP1D"
-#>  $ best_ball      : logi TRUE
+#>  $ best_ball      : logi FALSE
 #>  $ salary_cap     : logi FALSE
 #>  $ player_copies  : num 1
-#>  $ years_active   : chr "2018-2020"
+#>  $ years_active   : chr "2018-2021"
 #>  $ qb_count       : chr "1"
-#>  $ roster_size    : num 28
-#>  $ league_depth   : num 392
+#>  $ roster_size    : num 33
+#>  $ league_depth   : num 462
 
 # Get rosters
-ff_rosters(ssb)
-#> # A tibble: 435 x 11
-#>   franchise_id franchise_name player_id player_name pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   13189     Engram, Ev~ TE    NYG    26.2
-#> 2 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    28  
-#> 3 0001         Team Pikachu   14085     Pollard, T~ RB    DAL    23.6
-#> 4 0001         Team Pikachu   13645     Smith, Tre~ WR    NOS    24.9
-#> 5 0001         Team Pikachu   12110     Brate, Cam~ TE    TBB    29.4
-#> # ... with 430 more rows, and 4 more variables: roster_status <chr>,
+ff_rosters(ssb)
+#> # A tibble: 442 x 11
+#>   franchise_id franchise_name player_id player_name     pos   team    age
+#>   <chr>        <chr>          <chr>     <chr>           <chr> <chr> <dbl>
+#> 1 0001         Team Pikachu   13189     Engram, Evan    TE    NYG    26.8
+#> 2 0001         Team Pikachu   11680     Landry, Jarvis  WR    CLE    28.5
+#> 3 0001         Team Pikachu   13645     Smith, Tre'Quan WR    NOS    25.4
+#> 4 0001         Team Pikachu   12110     Brate, Cameron  TE    TBB    29.9
+#> 5 0001         Team Pikachu   13168     Reynolds, Josh  WR    LAR    26.3
+#> # ... with 437 more rows, and 4 more variables: roster_status <chr>,
 #> #   drafted <chr>, draft_year <chr>, draft_round <chr>
 
 # Get transactions
-ff_transactions(ssb)
-#> # A tibble: 843 x 12
-#>   timestamp           type  type_desc franchise_id franchise_name player_id
-#>   <dttm>              <chr> <chr>     <chr>        <chr>          <chr>    
-#> 1 2020-11-15 17:54:18 IR    activated 0004         Team Ice Clim~ 14840    
-#> 2 2020-11-15 17:54:08 FREE~ dropped   0004         Team Ice Clim~ 13316    
-#> 3 2020-11-15 17:23:51 FREE~ added     0010         Team Yoshi     10708    
-#> 4 2020-11-15 17:23:25 IR    deactiva~ 0010         Team Yoshi     14126    
-#> 5 2020-11-15 16:45:09 TAXI  promoted  0013         Team Ness      14125    
-#> # ... with 838 more rows, and 6 more variables: player_name <chr>, pos <chr>,
-#> #   team <chr>, bbid_spent <dbl>, trade_partner <chr>, comments <chr>
-
    
-
    For a more detailed usage example, including a template dynasty league analysis script, please check out the reference articles and/or vignettes!
    
+ff_transactions(ssb)
+#> # A tibble: 152 x 12
+#>   timestamp           type       type_desc franchise_id franchise_name   
+#>   <dttm>              <chr>      <chr>     <chr>        <chr>            
+#> 1 2020-07-09 17:25:20 FREE_AGENT dropped   0004         Team Ice Climbers
+#> 2 2020-07-09 17:25:20 FREE_AGENT dropped   0004         Team Ice Climbers
+#> 3 2020-06-16 01:56:49 TAXI       promoted  0014         Team Luigi       
+#> 4 2020-06-16 01:56:49 TAXI       demoted   0014         Team Luigi       
+#> 5 2020-06-12 23:51:44 FREE_AGENT dropped   0010         Team Yoshi       
+#> # ... with 147 more rows, and 7 more variables: player_id <chr>,
+#> #   player_name <chr>, pos <chr>, team <chr>, bbid_spent <dbl>,
+#> #   trade_partner <chr>, comments <chr>
    +

    Platform-specific guides on getting started with ffscrapr are here:

    + +

    There are also some more advanced guides for custom API calls in the Articles section, as well as some guides on optimizing ffscrapr’s performance.

    @@ -239,16 +315,20 @@

    Developers

    Dev status

      -
    • CRAN status
      • -
    • Lifecycle: maturing
      • -
    • Codecov test coverage
      • -
    • R build status
      • +
    • CRAN status
      • +
    • Dev status
      • +
    • Lifecycle: stable
      • +
    • Codecov test coverage
      • +
    • R build status
      • +
    • API status
      • +
    • nflverse discord
    @@ -267,7 +347,20 @@

    Dev status

    - - - + + diff --git a/docs/dev/logo.svg b/docs/dev/logo.svg new file mode 100644 index 00000000..c25272b8 --- /dev/null +++ b/docs/dev/logo.svg @@ -0,0 +1,141 @@ + + + + + + + + image/svg+xml + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/dev/news/index.html b/docs/dev/news/index.html index 9868dc21..cf4f6774 100644 --- a/docs/dev/news/index.html +++ b/docs/dev/news/index.html @@ -44,12 +44,19 @@ + + + + + + - + + @@ -84,7 +91,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -92,7 +99,7 @@ + + @@ -157,16 +232,243 @@

    Changelog

    ffscrapr (development version) Unreleased

    -

    Currently undecided on next platform. Amassing some tweaks and hotfixes for a patch version (probably with improved vignettes).

    -
    +
    +

    +Minor changes

    +
      +
    • +ff_league() now has a column that returns the platform’s season - this is most useful when running ff_league in batch. Thank you to @joeflan for the contribution! (Fixes #287) (v1.4.2.01)
      • +
    • Added helper script in dev/ for switching between test cache versions. (v1.4.2.02)
      • +
    • +ff_schedule() for Sleeper now should extend into playoff weeks. (Fixes #289) (v1.4.2.03)
      • +
    • +ff_draft() for Sleeper now has an auction_amount column if it is an auction draft. (Fixes #291) (v1.4.2.04)
      • +
    • +dp_cleannames() now can flip names originally presented in LastName, FirstName order into First Last, and also has a custom name database to convert common alternate names to a unified one. (v1.4.2.05)
      • +
    • +nflfastr_stat_mapping and dp_name_mapping are namespaced within the package, so that they can be used internally and externally a little more robustly. (v1.4.2.06)
      • +
    +
    +
    +
    +
    +

    +ffscrapr 1.4.2 2021-05-10 +

    +

    The main goal of v1.4.2 is to patch some minor bugs.

    +
    +

    +Minor changes

    +
      +
    • +espn_rosters now has a week argument to return a specific week of data. (Fixes #276, thanks @scottfrechette!)
      • +
    • +ff_scoringhistory now tries to return a platform-specific player ID, where available. (Fixes #275)
      • +
    • Roxygen configured to use markdown (with the roxygen2md package) - hopefully fixes the lifecycle badge issues?
      • +
    • +sleeper_players() - gsis_id gets str_squish applied to it to resolve some stowaway whitespaces.
      • +
    • +mfl_players() - add any_of handling for columns to handle column name changes.
      • +
    • +sleeper_transactions now handles offseason transactions correctly
      • +
    +
    +
    +
    +
    +

    +ffscrapr 1.4.1 2021-04-18 +

    +

    The main goal of v1.4.1 is to patch some issues raised by CRAN checks and also correct some bugs in the new experimental ff_scoringhistory and ff_starter_positions functions released in v1.4.0.

    +
    +

    +New features

    +
      +
    • +nflfastr_stat_mapping is a dataframe that maps nflfastr columns to fantasy scoring rules, and is now exported for end-user usage. It is primarily used inside of ff_scoringhistory().
      • +
    +
    +
    +

    +Minor changes

    +
      +
    • Added release_questions to help remind me to maintain test infrastructure
      • +
    • +mfl_starter_positions now correctly calculates offensive starters (first via “iop_starters” if defined and then otherwise by subtracting idp starters) as well as kdst_starters (Resolves #264)
      • +
    • Redirected nflfastr download functions to the new nflverse/ repository locations. (Resolves #268)
      • +
    • +.ffscrapr_env relocated from being a child of the base environment to being a child of the empty environment (Resolves #269)
      • +
    • +ff_scoringhistory refactored and adds better support for MFL’s fumbles and firstdowns. (Resolves #265)
      • +
    +
    +
    +
    +
    +

    +ffscrapr 1.4.0 2021-04-13 +

    +

    The main goal of v1.4.0 is to add preliminary support for connecting ffscrapr to nflfastR weekly data, and to clean up bugs from v1.3.0. Huge thanks goes to Joe Sydlowski for his contributions on scoring history (and everything else DynastyProcess!)

    +
    +

    +New Features

    +
      +
    • +nflfastr_weekly() imports weekly offensive statistics from nflfastR’s data repository.
      • +
    • +nflfastr_rosters() imports team rosters from nflfastR’s roster repository.
      • +
    • +ff_scoringhistory() connects your league’s scoring settings to the nflfastr data (c/o the functions above), and allows you to reconstruct historical scoring for your league!
      • +
    • +ff_starter_positions() describes the starter rules for each player/position, including min and max starters at each position accounting for flex spots. This should be useful for calculating things like value over replacement!
      • +
    +
    +
    +

    +Breaking Changes

    +
      +
    • +ff_scoring for ESPN loses the “override_pos” which only had a value of 16 for D/ST specific rules
      • +
    • +ff_scoring rules for ESPN and Sleeper have been expanded from one line per rule to one line per position per rule
      • +
    +
    +
    +

    +Minor Changes

    +
      +
    • Force mfl_playerscores to use season + league specific players call where possible (#239)
      • +
    • Reduce minimum rows for flea_rosters test to 200, which fixes an API check issue (#242)
      • +
    • Switching memoise backend to cachem package, fixes CRAN check issue where digest is no longer imported by memoise. Cachem also apparently more performant! (#244)
      • +
    • +sleeper_transactions now correctly handles multiple dropped players in one transaction. (#246).
      • +
    • +mfl_transactions - adds numeric string parsing to fix bug in auction bid amount (#)
      • +
    • +mfl_draft now calculates age as of timestamp and also adds an overall column. (#259, #260)
      • +
    +
    +
    +
    +
    +

    +ffscrapr 1.3.0 2021-03-07 +

    +

    The main goal of ffscrapr 1.3.0 is to add support for the ESPN platform. It also includes several bug fixes, code quality improvements, and a major refactor of tests to reduce overall package size.

    +

    A huge thank-you goes to Tony ElHabr for his contributions to the package for the ESPN methods.

    +
    +

    +Breaking Changes

    +
      +
    • +custom_players arguments are deprecated for MFL - it will now return them by default.
      • +
    +
    +

    -Tweaks to be released with 1.1.1

    +ESPN Details +

    ESPN is a tricky and undocumented API. Private leagues are accessible if you use the SWID/ESPN_S2 authentication arguments, which are a lot like API keys - see the ESPN authentication vignette.

    +

    Unsupported functions:

      -
    • Patched bug in sleeper_getendpoint() - was appending a “/” to the end of every url by accident, breaking URL parameters
      • -
    • Small copyedits to existing vignettes. (1.1.0.9000)
      • -
    • Added filesystem cache capabilities and a vignette to detailing how to use it (1.1.0.9001)
      • +
    • +ff_draftpicks() - this does not apply to ESPN primarily because it does not support draft pick trades.
      • +
    • +ff_userleagues() - ESPN does not support looking up user’s leagues, even when authenticated
      • +
    • Username and password features - ESPN used to have a way to authenticate via username/password, but this has been recently made more difficult. It is an area that can be revisited if/when the Python package manages it, but at this time will only be accessible with the SWID/ESPN_S2 keys.
    +
    +

    +New Functions

    +
      +
    • +dp_cleannames() is a utility function for cleaning player names that removes common suffixes, periods, and apostrophes.
      • +
    • +espn_potentialpoints() calculates the optimal lineup for each week. This is
      • +
    +
    +
    +

    +Minor patches

    +
      +
    • Converted GET requests to use httr::RETRY instead - this adds some robustness for server-side issues. As suggested by Maelle Salmon’s blog post on not reinventing the wheel.
      • +
    • Added some type conversions and renaming for snake_case consistency to mfl_rosters and mfl_playerscores
      • +
    • Fixed bug in MFL’s ff_playerscores() function so that it correctly pulls older names. (Resolves #196)
      • +
    • Refactored all tests to move test cache files to a separate/non-package location (https://github.com/dynastyprocess/ffscrapr-tests) - so that it is not included in CRAN’s package sizing
      • +
    • Fixed bugs in MFL’s ff_starters() function - bad default arg, bad players call. (Fixes #202)
      • +
    • Resolve MFL’s playerscores to handle vectorized request (Fixes #206)
      • +
    • Resolve bugs related to .fn_choose_season for tests (Fixes #217, #219)
      • +
    • Resolved bug in MFL’s ff_rosters() by adding a week parameter (Fixes #215)
      • +
    • Coerced ff_transactions() bid_amount into a numeric (Fixes #210)
      • +
    • Removed bye franchises from ff_starters() (Fixes #212)
      • +
    +
    +
    +
    +
    +

    +ffscrapr 1.2.2 2021-02-08 +

    +

    Minor patches to dp_import functions to address issues discovered by CRAN checks.

    +

    Also adds minor helper function, dp_cleannames(), which is a utility function for cleaning player names that removes common suffixes, periods, and apostrophes.

    +

    Messed up the export here, whoops. Fixing for next release.

    +
    +

    +Minor patches

    +
      +
    • Refactored dp_values() and dp_playerids() functions to use httr backend for compat with httptest, preventing CRAN errors.
      • +
    • Added inst-level redactor for httptest.
      • +
    +
    +
    +
    +
    +

    +ffscrapr 1.2.1 2020-12-16 +

    +
    +

    +Minor patches

    +
      +
    • Caching vignette outputs in tests/testthat to making vignette-rebuilding less internet reliant
      • +
    • Changing the league_id output of sleeper_userleagues to be a character column (because of cran no-longdouble support)
      • +
    +
    +
    +
    +
    +

    +ffscrapr 1.2.0 2020-11-27 +

    +

    The main goal of ffscrapr 1.2.0 is to add a full set of methods for Fleaflicker. This release also adds improved caching options, including writing to your filesystem for persistent caching (see the vignette!), and one hotfix for sleeper_getendpoint.

    +
    +

    +BREAKING CHANGES

    +
      +
    • +sleeper_getendpoint() now behaves more like the other getendpoint functions - first argument is the endpoint and any further args are passed as query parameters.
      • +
    +
    +
    +

    +Other tweaks to existing platforms/methods

    +
      +
    • Small copyedits to existing vignettes.
      • +
    • Added filesystem cache capabilities and a vignette to detailing how to use it.
      • +
    +
    +
    +

    +Fleaflicker notes

    +

    All functions now have Fleaflicker methods! Here are notes about what isn’t the same:

    +
      +
    • +fleaflicker_players() requires a connection/leagueID by default - acts a little oddly on game days as of right now.
      • +
    • +ff_playerscores() - Fleaflicker’s API returns season level data easily, week-level is not readily available yet without some workarounds. Everything else seems to be okay.
      • +
    +
    +

    @@ -206,7 +508,7 @@

  • Added method for ff_userleagues()
  • Added handling for offensive_points and defensive_points in ff_standings() (#69, nice.)
    • -
  • Added ff_starters() (1.0.0.9011) as requested by #76 (thanks, Mike!)
    • +
  • Added ff_starters() as requested by #76 (thanks, Mike!)
  • Added an httr::handle_reset() call to fix login-caching bug.
  • Polished vignettes a little.
    • @@ -220,6 +522,7 @@

  • Uses describeIn instead of rdname for method documentation.
  • Wrap all documentation examples in donttest - ratelimiting AND running in under 5 seconds each is pretty challenging!
    • +

    @@ -280,6 +583,23 @@

    Contents

    + + + diff --git a/docs/dev/pkgdown.yml b/docs/dev/pkgdown.yml index 07856290..b16ffb26 100644 --- a/docs/dev/pkgdown.yml +++ b/docs/dev/pkgdown.yml @@ -1,13 +1,19 @@ -pandoc: 2.9.2.1 +pandoc: 2.11.2 pkgdown: 1.6.1 pkgdown_sha: ~ articles: + espn_authentication: espn_authentication.html + espn_basics: espn_basics.html + espn_getendpoint: espn_getendpoint.html ffscrapr_caching: ffscrapr_caching.html + ffscrapr_scoringhistory: ffscrapr_scoringhistory.html + fleaflicker_basics: fleaflicker_basics.html + fleaflicker_getendpoint: fleaflicker_getendpoint.html mfl_basics: mfl_basics.html mfl_getendpoint: mfl_getendpoint.html sleeper_basics: sleeper_basics.html sleeper_getendpoint: sleeper_getendpoint.html -last_built: 2020-11-17T20:41Z +last_built: 2021-06-09T16:07Z urls: reference: ffscrapr.dynastyprocess.com/reference article: ffscrapr.dynastyprocess.com/articles diff --git a/docs/dev/reference/dot-add_allplay.html b/docs/dev/reference/dot-add_allplay.html new file mode 100644 index 00000000..af246a5d --- /dev/null +++ b/docs/dev/reference/dot-add_allplay.html @@ -0,0 +1,295 @@ + + + + + + + + +Add allplay from a standardised schedule output — .add_allplay • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Add allplay from a standardised schedule output

    + Source: R/0_helpers.R + +
    + +
    +

    Add allplay from a standardised schedule output

    +
    + + 
    .add_allplay(schedule)
    + +

    Arguments

    + + + + + + +
    schedule
      +

    • an output from ff_schedule

      • +
    + + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/dot-espn_activity_map.html b/docs/dev/reference/dot-espn_activity_map.html new file mode 100644 index 00000000..ba66a759 --- /dev/null +++ b/docs/dev/reference/dot-espn_activity_map.html @@ -0,0 +1,288 @@ + + + + + + + + +ESPN Activity/Transaction Mapping — .espn_activity_map • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    ESPN Activity/Transaction Mapping

    + Source: R/espn__helpers.R + +
    + +
    +

    ESPN Activity/Transaction Mapping

    +
    + + 
    .espn_activity_map()
    + + +

    See also

    + +

    https://github.com/cwendt94/espn-api/blob/master/espn_api/football/constant.py#L82-92

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/dot-espn_lineupslot_map.html b/docs/dev/reference/dot-espn_lineupslot_map.html new file mode 100644 index 00000000..eec7e162 --- /dev/null +++ b/docs/dev/reference/dot-espn_lineupslot_map.html @@ -0,0 +1,288 @@ + + + + + + + + +ESPN Lineup Slot map — .espn_lineupslot_map • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    ESPN Lineup Slot map

    + Source: R/espn__helpers.R + +
    + +
    +

    This is for the starting lineup specifically - primary positions is accessible via .espn_pos_map

    +
    + + 
    .espn_lineupslot_map()
    + + +

    See also

    + +

    https://github.com/cwendt94/espn-api/blob/master/espn_api/football/constant.py

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/dot-espn_pos_map.html b/docs/dev/reference/dot-espn_pos_map.html new file mode 100644 index 00000000..9b1146ac --- /dev/null +++ b/docs/dev/reference/dot-espn_pos_map.html @@ -0,0 +1,287 @@ + + + + + + + + +ESPN Primary Position map — .espn_pos_map • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    ESPN Primary Position map

    + Source: R/espn__helpers.R + +
    + +
    +

    Decoded by hand - if you have an IDP ESPN league please open a GitHub issue +and pass along the league info so we can expand this.

    +
    + + 
    .espn_pos_map()
    + + + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/dot-espn_stat_map.html b/docs/dev/reference/dot-espn_stat_map.html new file mode 100644 index 00000000..702a48d3 --- /dev/null +++ b/docs/dev/reference/dot-espn_stat_map.html @@ -0,0 +1,288 @@ + + + + + + + + +ESPN Stat ID map — .espn_stat_map • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    ESPN Stat ID map

    + Source: R/espn__helpers.R + +
    + +
    +

    ESPN Stat ID map

    +
    + + 
    .espn_stat_map()
    + + +

    See also

    + +

    https://github.com/cwendt94/espn-api/blob/master/espn_api/football/constant.py

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/dot-espn_team_map.html b/docs/dev/reference/dot-espn_team_map.html new file mode 100644 index 00000000..9be2ba20 --- /dev/null +++ b/docs/dev/reference/dot-espn_team_map.html @@ -0,0 +1,290 @@ + + + + + + + + +ESPN Team ID map — .espn_team_map • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    ESPN Team ID map

    + Source: R/espn__helpers.R + +
    + +
    +

    Opinionatedly conforming to DynastyProcess standards, which match to MyFantasyLeague. +Abbreviations are consistently three letters.

    +
    + + 
    .espn_team_map()
    + + +

    See also

    + +

    https://github.com/cwendt94/espn-api/blob/master/espn_api/football/constant.py

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/dot-ff_clear_cache.html b/docs/dev/reference/dot-ff_clear_cache.html index 96d60b3c..4d3a3817 100644 --- a/docs/dev/reference/dot-ff_clear_cache.html +++ b/docs/dev/reference/dot-ff_clear_cache.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Empty Function Cache

    - Source: R/cache.R + Source: R/0_cache.R
    @@ -159,7 +234,7 @@

    Empty Function Cache

    This function will reset the cache for any and all ffscrapr cached functions.

    - 
    .ff_clear_cache()
    + 
    .ff_clear_cache()
    @@ -185,6 +260,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/dot-fn_choose_season.html b/docs/dev/reference/dot-fn_choose_season.html index 4d9384cf..9802ce92 100644 --- a/docs/dev/reference/dot-fn_choose_season.html +++ b/docs/dev/reference/dot-fn_choose_season.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Choose current season

    - Source: R/helpers.R + Source: R/0_helpers.R
    @@ -159,7 +234,7 @@

    Choose current season

    A helper function to return the current year if March or later, otherwise assume previous year

    - 
    .fn_choose_season(date = NULL)
    + 
    .fn_choose_season(date = NULL)
    @@ -185,6 +260,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/dot-fn_drop_nulls.html b/docs/dev/reference/dot-fn_drop_nulls.html index a5a0bc92..714ba16a 100644 --- a/docs/dev/reference/dot-fn_drop_nulls.html +++ b/docs/dev/reference/dot-fn_drop_nulls.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Drop nulls from a list/vector

    - Source: R/helpers.R + Source: R/0_helpers.R
    @@ -159,7 +234,7 @@

    Drop nulls from a list/vector

    Drop nulls from a list/vector

    - 
    .fn_drop_nulls(x)
    + 
    .fn_drop_nulls(x)
    @@ -185,6 +260,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/dot-fn_set_ratelimit.html b/docs/dev/reference/dot-fn_set_ratelimit.html index 08935c6d..d4df5f19 100644 --- a/docs/dev/reference/dot-fn_set_ratelimit.html +++ b/docs/dev/reference/dot-fn_set_ratelimit.html @@ -44,6 +44,12 @@ + + + + + + @@ -51,7 +57,8 @@ - + + @@ -86,7 +93,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -94,7 +101,7 @@ + + @@ -152,7 +227,7 @@

    Set rate limit

    - Source: R/helpers.R + Source: R/0_helpers.R
    @@ -161,7 +236,7 @@

    Set rate limit

    in the .ffscrapr_env hidden object

    - 
    .fn_set_ratelimit(toggle = TRUE, platform, rate_number, rate_seconds)
    + 
    .fn_set_ratelimit(toggle = TRUE, platform, rate_number, rate_seconds)

    Arguments

    @@ -203,6 +278,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/dot-fn_set_useragent.html b/docs/dev/reference/dot-fn_set_useragent.html index f6d03a60..abdcad6d 100644 --- a/docs/dev/reference/dot-fn_set_useragent.html +++ b/docs/dev/reference/dot-fn_set_useragent.html @@ -44,6 +44,12 @@ + + + + + + @@ -51,7 +57,8 @@ - + + @@ -86,7 +93,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -94,7 +101,7 @@ + +
    + +
    + + @@ -152,7 +227,7 @@

    Set user agent

    - Source: R/helpers.R + Source: R/0_helpers.R
    @@ -161,7 +236,7 @@

    Set user agent

    See: https://www03.myfantasyleague.com/2020/csetup?C=APICLI

    - 
    .fn_set_useragent(user_agent)
    + 
    .fn_set_useragent(user_agent)
    @@ -187,6 +262,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/dot-mfl_logincookie.html b/docs/dev/reference/dot-mfl_logincookie.html index a9223fef..36c9f812 100644 --- a/docs/dev/reference/dot-mfl_logincookie.html +++ b/docs/dev/reference/dot-mfl_logincookie.html @@ -44,6 +44,12 @@ + + + + + + @@ -51,7 +57,8 @@ - + + @@ -86,7 +93,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -94,7 +101,7 @@ + +
    + +
    + + @@ -161,7 +236,7 @@

    Get MFL Login Cookie

    Docs: https://api.myfantasyleague.com/2020/api_info#login_info

    - 
    .mfl_logincookie(user_name, password, season)
    + 
    .mfl_logincookie(user_name, password, season)

    Arguments

    @@ -206,6 +281,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/dot-retry_get.html b/docs/dev/reference/dot-retry_get.html new file mode 100644 index 00000000..778c8f5e --- /dev/null +++ b/docs/dev/reference/dot-retry_get.html @@ -0,0 +1,293 @@ + + + + + + + + +Create RETRY version of GET — .retry_get • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Create RETRY version of GET

    + Source: R/0_helpers.R + +
    + +
    +

    This wrapper on httr retries the httr::GET function based on best-practice heuristics

    +
    + + 
    .retry_get(...)
    + +

    Arguments

    +
    + + + + + +
    ...

    arguments passed to httr::GET

    + + + + + + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    + + + + + + + + + + + + diff --git a/docs/dev/reference/dot-retry_post.html b/docs/dev/reference/dot-retry_post.html new file mode 100644 index 00000000..3d8c6e6f --- /dev/null +++ b/docs/dev/reference/dot-retry_post.html @@ -0,0 +1,293 @@ + + + + + + + + +Create RETRY version of POST — .retry_post • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Create RETRY version of POST

    + Source: R/0_helpers.R + +
    + +
    +

    This wrapper on httr retries the httr::POST function based on best-practice heuristics.

    +
    + + 
    .retry_post(...)
    + +

    Arguments

    + + + + + + +
    ...

    arguments passed to httr::POST

    + + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/dot-sleeper_matchup.html b/docs/dev/reference/dot-sleeper_matchup.html new file mode 100644 index 00000000..33fd63d4 --- /dev/null +++ b/docs/dev/reference/dot-sleeper_matchup.html @@ -0,0 +1,285 @@ + + + + + + + + +individual sleeper matchup — .sleeper_matchup • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    individual sleeper matchup

    + Source: R/sleeper_schedule.R + +
    + +
    +

    individual sleeper matchup

    +
    + + 
    .sleeper_matchup(week, conn, last_scored_week)
    + + + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/dot-sleeper_userid.html b/docs/dev/reference/dot-sleeper_userid.html index 67edf408..ba9da8eb 100644 --- a/docs/dev/reference/dot-sleeper_userid.html +++ b/docs/dev/reference/dot-sleeper_userid.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -159,7 +234,7 @@

    Get Sleeper User ID

    Docs: https://docs.sleeper.app

    - 
    .sleeper_userid(user_name)
    + 
    .sleeper_userid(user_name)

    Arguments

    @@ -196,6 +271,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/dp_cleannames.html b/docs/dev/reference/dp_cleannames.html new file mode 100644 index 00000000..914d06ff --- /dev/null +++ b/docs/dev/reference/dp_cleannames.html @@ -0,0 +1,339 @@ + + + + + + + + +Clean Names — dp_cleannames • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Clean Names

    + Source: R/1_import_dp.R + +
    + +
    +

    Applies some name-cleaning heuristics to facilitate joins. These heuristics may include:

      +

    • removing periods and apostrophes

      • +

    • removing common suffixes, such as Jr, Sr, II, III, IV

      • +

    • converting to lowercase

      • +

    • using dp_name_mapping to do common name substitutions, such as Mitch Trubisky to Mitchell Trubisky

      • +
    + +
    + + 
    dp_cleannames(
+  player_name,
+  lowercase = FALSE,
+  convert_lastfirst = FALSE,
+  use_name_database = TRUE
+)
    + +

    Arguments

    +
    + + + + + + + + + + + + + + + + + +
    player_name

    a character (or character vector)

    lowercase

    defaults to FALSE - if TRUE, converts to lowercase

    convert_lastfirst

    converts names from "Last, First" to "First Last" (i.e. MFL style)

    use_name_database

    uses internal name database to do common substitutions (Mitchell Trubisky to Mitch Trubisky etc)

    + +

    Value

    + +

    a character vector of cleaned names

    +

    See also

    + +

    dp_name_mapping

    + +

    Examples

    + 
    # \donttest{
+dp_cleannames(c("A.J. Green", "Odell Beckham Jr.", "Le'Veon Bell Sr."))
+
    #> [1] "AJ Green"      "Odell Beckham" "LeVeon Bell"  
    
+dp_cleannames(c("Trubisky, Mitch", "Atwell, Chatarius", "Elliott, Zeke", "Elijah Moore"),
+              convert_lastfirst = TRUE,
+              use_name_database = TRUE)
+
    #> [1] "Mitchell Trubisky" "Tutu Atwell"       "Ezekiel Elliott"  
+#> [4] "Elijah Moore"     
    # }
+
+
    + + + + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    + + + + + + + + + + + + diff --git a/docs/dev/reference/dp_name_mapping.html b/docs/dev/reference/dp_name_mapping.html new file mode 100644 index 00000000..0154328b --- /dev/null +++ b/docs/dev/reference/dp_name_mapping.html @@ -0,0 +1,300 @@ + + + + + + + + +Alternate name mappings — dp_name_mapping • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Alternate name mappings

    + Source: R/1_import_dp.R + +
    + +
    +

    A named character vector mapping common alternate names

    +
    + + 
    dp_name_mapping
    + + +

    Format

    + +

    A named character vector

    +
    name attribute

    The "alternate" name.

    +
    value attribute

    The "correct" name.

    + +
    + + +

    Examples

    + 
    # \donttest{
+dp_name_mapping[c("Chatarius Atwell", "Robert Kelley")]
+
    #> Chatarius Atwell    Robert Kelley 
+#>    "Tutu Atwell"     "Rob Kelley" 
    # }
+
+
    +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/dp_playerids.html b/docs/dev/reference/dp_playerids.html index 9788eaf3..8048b476 100644 --- a/docs/dev/reference/dp_playerids.html +++ b/docs/dev/reference/dp_playerids.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Import latest DynastyProcess player IDs

    - Source: R/dp_import.R + Source: R/1_import_dp.R
    @@ -159,7 +234,7 @@

    Import latest DynastyProcess player IDs

    Fetches a copy of the latest DynastyProcess player IDs csv

    - 
    dp_playerids()
    + 
    dp_playerids()

    Value

    @@ -171,24 +246,27 @@

    See a

    Examples

    # \donttest{
-dp_playerids()
-
    #> # A tibble: 2,206 x 19
-#>    mfl_id sportradar_id gsis_id fantasypros_id ffcalculator_id pfr_id cfbref_id
-#>    <chr>  <chr>         <chr>   <chr>          <chr>           <chr>  <chr>    
-#>  1 10005  680fd5cf-3bd~ 00-002~ NA             NA              WatsD~ dekoda-w~
-#>  2 10026  f1cff356-8de~ 00-002~ NA             NA              ColeK~ kurt-col~
-#>  3 10077  72f5a27a-544~ 00-002~ NA             NA              IvorC~ NA       
-#>  4 10103  6bc584ed-82c~ 00-002~ NA             NA              NA     NA       
-#>  5 10111  f0d837e0-54e~ 00-002~ NA             NA              LoveK~ NA       
-#>  6 10122  4a8190f6-039~ 00-002~ NA             NA              StewD~ NA       
-#>  7 10143  cee49408-2e9~ 00-002~ NA             NA              NA     NA       
-#>  8 10149  688f7a3b-4d6~ 00-002~ NA             NA              BrocT~ NA       
-#>  9 10220  39ee3bee-117~ 00-002~ NA             NA              SendA~ NA       
-#> 10 10250  4f799675-2b2~ 00-002~ NA             NA              SherM~ NA       
-#> # ... with 2,196 more rows, and 12 more variables: sleeper_id <chr>,
-#> #   espn_id <chr>, fleaflicker_id <chr>, name <chr>, merge_name <chr>,
-#> #   position <chr>, team <chr>, age <dbl>, draft_year <int>, draft_round <int>,
-#> #   draft_pick <int>, birthdate <chr>
    # }
+dp_playerids()
+
    #> # A tibble: 10,512 x 31
+#>    mfl_id sportradar_id  fantasypros_id gsis_id pff_id sleeper_id nfl_id espn_id
+#>    <chr>  <chr>          <chr>          <chr>   <chr>  <chr>      <chr>  <chr>  
+#>  1 15237  aaa8b42c-4d87~ 19780          NA      NA     7523       NA     NA     
+#>  2 15238  cf15be8f-9117~ 19781          NA      NA     7591       NA     NA     
+#>  3 15239  17bb63b1-1b0e~ 22679          NA      NA     7538       NA     NA     
+#>  4 15240  676a508c-c65f~ 20082          NA      NA     7610       NA     NA     
+#>  5 15241  1fd00ec3-b758~ 20156          NA      NA     7527       NA     NA     
+#>  6 15242  13038760-a019~ 19800          NA      NA     7605       NA     NA     
+#>  7 15243  631e6ad5-0a97~ 19383          NA      NA     7581       NA     NA     
+#>  8 15244  NA             NA             NA      NA     NA         NA     NA     
+#>  9 15245  22fd9495-1745~ 19785          NA      NA     7555       NA     NA     
+#> 10 15246  0d3113f7-2a82~ 20159          NA      NA     7589       NA     NA     
+#> # ... with 10,502 more rows, and 23 more variables: yahoo_id <chr>,
+#> #   fleaflicker_id <chr>, cbs_id <chr>, rotowire_id <chr>, rotoworld_id <chr>,
+#> #   ktc_id <chr>, pfr_id <chr>, cfbref_id <chr>, stats_id <chr>,
+#> #   stats_global_id <chr>, fantasy_data_id <chr>, name <chr>, merge_name <chr>,
+#> #   position <chr>, team <chr>, birthdate <chr>, age <dbl>, draft_year <int>,
+#> #   draft_round <int>, draft_pick <int>, draft_ovr <int>,
+#> #   twitter_username <chr>, db_season <int>
    # }
    @@ -213,6 +291,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/dp_values.html b/docs/dev/reference/dp_values.html index 9fa8f902..d29499ed 100644 --- a/docs/dev/reference/dp_values.html +++ b/docs/dev/reference/dp_values.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Import latest DynastyProcess values

    - Source: R/dp_import.R + Source: R/1_import_dp.R
    @@ -159,7 +234,7 @@

    Import latest DynastyProcess values

    Fetches a copy of the latest DynastyProcess dynasty trade values sheets

    - 
    dp_values(file = c("values.csv", "values-players.csv", "values-picks.csv"))
    + 
    dp_values(file = c("values.csv", "values-players.csv", "values-picks.csv"))

    Arguments

    @@ -179,24 +254,10 @@

    See a

    Examples

    # \donttest{
- dp_values()
-
    #> # A tibble: 439 x 12
-#>    player pos   team    age draft_year ecr_1qb ecr_2qb ecr_pos value_1qb
-#>    <chr>  <chr> <chr> <dbl>      <int>   <dbl>   <dbl>   <dbl>     <int>
-#>  1 Chris~ RB    CAR    24.4       2017     1.8     2.1     1       10058
-#>  2 Alvin~ RB    NOS    25.3       2017     2.2     2.5     3.3      9978
-#>  3 Davan~ WR    GBP    27.9       2014     5       6.1     3.3      9336
-#>  4 D.K. ~ WR    SEA    22.9       2019     5.2     6.4     1        9299
-#>  5 DeAnd~ WR    ARI    28.4       2013     6.7     8.4     4.3      8977
-#>  6 Saquo~ RB    NYG    23.7       2018     7.7    10.2     2.7      8768
-#>  7 Tyree~ WR    KCC    26.7       2016     9      11.7     5.3      8498
-#>  8 Micha~ WR    NOS    27.7       2016    10.5    13.8     4.7      8204
-#>  9 A.J. ~ WR    TEN    23.4       2019    12.7    16.8     5.7      7796
-#> 10 Clyde~ RB    KCC    21.6       2020    13.8    18.7     7.7      7586
-#> # ... with 429 more rows, and 3 more variables: value_2qb <int>,
-#> #   scrape_date <date>, fp_id <chr>
    # }
-
-
    +dp_values() +# } + + + + + diff --git a/docs/dev/reference/espn_connect.html b/docs/dev/reference/espn_connect.html new file mode 100644 index 00000000..1ca044da --- /dev/null +++ b/docs/dev/reference/espn_connect.html @@ -0,0 +1,349 @@ + + + + + + + + +Connect to ESPN League — espn_connect • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Connect to ESPN League

    + Source: R/espn_connect.R + +
    + +
    +

    This function creates a connection object which stores parameters and a user ID if available.

    +
    + + 
    espn_connect(
+  season = NULL,
+  league_id = NULL,
+  swid = NULL,
+  espn_s2 = NULL,
+  user_agent = NULL,
+  rate_limit = TRUE,
+  rate_limit_number = NULL,
+  rate_limit_seconds = NULL,
+  ...
+)
    + +

    Arguments

    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    season

    Season to access on Fleaflicker - if missing, will guess based on system date (current year if March or later, otherwise previous year)

    league_id

    League ID

    swid

    SWID parameter for accessing private leagues - see vignette for details

    espn_s2

    ESPN_S2 parameter for accessing private leagues - see vignette for details

    user_agent

    User agent to self-identify (optional)

    rate_limit

    TRUE by default - turn off rate limiting with FALSE

    rate_limit_number

    number of calls per rate_limit_seconds, suggested is under 1000 calls per 60 seconds

    rate_limit_seconds

    number of seconds as denominator for rate_limit

    ...

    other arguments (for other methods, for R compat)

    + +

    Value

    + +

    a list that stores ESPN connection objects

    + +

    Examples

    + 
    # \donttest{
+conn <- espn_connect(
+  season = 2018,
+  league_id = 1178049,
+  espn_s2 = Sys.getenv("TAN_ESPN_S2"),
+  swid = Sys.getenv("TAN_SWID")
+)
+# }
+
+
    + + + + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    + + + + + + + + + + + + diff --git a/docs/dev/reference/espn_getendpoint.html b/docs/dev/reference/espn_getendpoint.html new file mode 100644 index 00000000..ca0b49e0 --- /dev/null +++ b/docs/dev/reference/espn_getendpoint.html @@ -0,0 +1,318 @@ + + + + + + + + +GET ESPN fantasy league endpoint — espn_getendpoint • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    GET ESPN fantasy league endpoint

    + Source: R/espn_api.R + +
    + +
    +

    This function is used to call the ESPN Fantasy API for league-based endpoints.

    +
    + + 
    espn_getendpoint(conn, ..., x_fantasy_filter = NULL)
    + +

    Arguments

    + + + + + + + + + + + + + + +
    conn

    a connection object created by espn_connect or ff_connect()

    ...

    Arguments which will be passed as "argumentname = argument" in an HTTP query parameter

    x_fantasy_filter

    a JSON-encoded character string that specifies a filter for the data

    + +

    Value

    + +

    A list object containing the query, response, and parsed content.

    +

    Details

    + +

    The ESPN Fantasy API is undocumented and this should be used by advanced users +familiar with the API.

    +

    It chooses the correct league endpoint based on the year (eg leagueHistory +for <2018), checks the x_fantasy_filter for valid JSON input, builds a url +with any optional query parameters, and executes the request with authentication +and rate limiting.

    +

    HTTP query parameters (i.e. arguments to ...) are Case Sensitive.

    +

    Please see the vignette for more on usage.

    +

    See also

    + +

    vignette("espn_getendpoint")

    +

    espn_getendpoint_raw

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/espn_getendpoint_raw.html b/docs/dev/reference/espn_getendpoint_raw.html new file mode 100644 index 00000000..ea33ea34 --- /dev/null +++ b/docs/dev/reference/espn_getendpoint_raw.html @@ -0,0 +1,316 @@ + + + + + + + + +GET ESPN endpoint (raw) — espn_getendpoint_raw • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    GET ESPN endpoint (raw)

    + Source: R/espn_api.R + +
    + +
    +

    This function is the lower-level function that powers the API call: +it takes a URL and headers and executes the http request with rate-limiting +and authentication. It checks for JSON return and any warnings/errors, +parses the json, and returns an espn_api object with the parsed content, +the raw response, and the actual query.

    +
    + + 
    espn_getendpoint_raw(conn, url_query, ...)
    + +

    Arguments

    + + + + + + + + + + + + + + +
    conn

    a connection object created by ff_connect or equivalent - used for authentication

    url_query

    a fully-formed URL to call

    ...

    any headers or other httr request objects to pass along

    + +

    Value

    + +

    object of class espn_api with parsed content, request, and response

    +

    See also

    + +

    espn_getendpoint() - a higher level wrapper that checks JSON and prepares the url query

    +

    vignette("espn_getendpoint")

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/espn_players.html b/docs/dev/reference/espn_players.html new file mode 100644 index 00000000..1bbcdbf5 --- /dev/null +++ b/docs/dev/reference/espn_players.html @@ -0,0 +1,310 @@ + + + + + + + + +ESPN players library — espn_players • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    ESPN players library

    + Source: R/espn_players.R + +
    + +
    +

    A cached table of ESPN NFL players. Will store in memory for each session! +(via memoise in zzz.R)

    +
    + + 
    espn_players(conn = NULL, season = NULL)
    + +

    Arguments

    + + + + + + + + + + +
    conn

    a connection object created by espn_connect or ff_connect()

    season

    a season to fetch

    + +

    Value

    + +

    a dataframe containing all ~2000+ active players in the ESPN database

    + +

    Examples

    + 
    # \donttest{
+conn <- espn_connect(season = 2020, league_id = 1178049)
+
+player_list <- espn_players(conn, season = 2020)
+# }
+
+
    +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/espn_potentialpoints.html b/docs/dev/reference/espn_potentialpoints.html new file mode 100644 index 00000000..5b0c257e --- /dev/null +++ b/docs/dev/reference/espn_potentialpoints.html @@ -0,0 +1,321 @@ + + + + + + + + +ESPN Potential Points — espn_potentialpoints • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    ESPN Potential Points

    + Source: R/espn_potentialpoints.R + +
    + +
    +

    This function calculates the optimal starters for a given week, using some lineup heuristics.

    +
    + + 
    espn_potentialpoints(conn, weeks = 1:17)
    + +

    Arguments

    + + + + + + + + + + +
    conn

    the list object created by ff_connect()

    weeks

    a numeric vector for determining which weeks to calculate

    + +

    Value

    + +

    a tibble with the best lineup for each team and whether they were started or not

    + +

    Examples

    + 
    # \donttest{
+
+conn <- espn_connect(season = 2020, league_id = 899513)
+espn_potentialpoints(conn, weeks = 1:3)
+
    #> # A tibble: 666 x 11
+#>     week franchise_id franchise_name franchise_score optimal_slot actual_slot
+#>    <int>        <int> <chr>                    <dbl> <chr>        <chr>      
+#>  1     1            1 The Early GGod            102. QB           OP         
+#>  2     1            1 The Early GGod            102. RB           BE         
+#>  3     1            1 The Early GGod            102. RB           RB         
+#>  4     1            1 The Early GGod            102. WR           BE         
+#>  5     1            1 The Early GGod            102. WR           BE         
+#>  6     1            1 The Early GGod            102. TE           BE         
+#>  7     1            1 The Early GGod            102. OP           WR         
+#>  8     1            1 The Early GGod            102. DST          DST        
+#>  9     1            1 The Early GGod            102. K            K          
+#> 10     1            1 The Early GGod            102. RB/WR/TE     BE         
+#> # ... with 656 more rows, and 5 more variables: player_score <dbl>,
+#> #   player_name <chr>, player_pos <chr>, team <chr>, player_id <int>
    # }
+
    +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/ff_connect.html b/docs/dev/reference/ff_connect.html index d4ee9ff4..b20f8dd4 100644 --- a/docs/dev/reference/ff_connect.html +++ b/docs/dev/reference/ff_connect.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Connect to a League

    - Source: R/generics.R + Source: R/0_generics.R
    @@ -159,7 +234,7 @@

    Connect to a League

    This function creates a connection object which stores parameters and gets a login-cookie if available - it does so by passing arguments to the appropriate league-based handler.

    - 
    ff_connect(platform = "mfl", league_id = NULL, ...)
    + 
    ff_connect(platform = "mfl", league_id = NULL, ...)

    Arguments

    @@ -183,10 +258,11 @@

    Value

    a connection object to be used with ff_* functions

    See also

    -

    ff_connect, sleeper_connect

    +

    mfl_connect(), sleeper_connect(), fleaflicker_connect(), espn_connect()

    Examples

    - 
    ff_connect(platform = "mfl", season = 2019, league_id = 54040, rate_limit = FALSE)
+    
    # \donttest{
+ff_connect(platform = "mfl", season = 2019, league_id = 54040, rate_limit = FALSE)
 
    #> <MFL connection 2019_54040>
 #> List of 5
 #>  $ platform   : chr "MFL"
@@ -194,7 +270,7 @@ 
    Examp
 #>  $ league_id  : chr "54040"
 #>  $ APIKEY     : NULL
 #>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
    
+#>  - attr(*, "class")= chr "mfl_conn"
    # }
 
    
   
    
   
 
   
+
+
+
 
 
   
diff --git a/docs/dev/reference/ff_draft.html b/docs/dev/reference/ff_draft.html
index c176fae6..b74ea019 100644
--- a/docs/dev/reference/ff_draft.html
+++ b/docs/dev/reference/ff_draft.html
@@ -44,6 +44,12 @@
 
 
 
+
+
+
+
+
+
 
   
   
@@ -51,7 +57,8 @@
 
 
-
+
+
 
 
 
@@ -86,7 +93,7 @@
       
       
         ffscrapr
-        1.1.0.9001
+        1.4.2.06
       
     
 
@@ -94,7 +101,7 @@
       
       
       
+      
+        
    
+          
+        
    
+      
+      
     
   
 
@@ -152,7 +227,7 @@
   
    
     
    
     
    Get Draft Results
    
-    Source: R/generics.R, R/mfl_draft.R, R/sleeper_draft.R
+    Source: R/0_generics.R, R/espn_draft.R, R/flea_draft.R, and 2 more
     
     
    
 
@@ -161,13 +236,19 @@ 
    Get Draft Results
    
 Can handle MFL devy drafts or startup drafts by specifying the custom_players argument
    
     
    
 
-    
    ff_draft(conn, ...)
+    
    ff_draft(conn, ...)
+
+# S3 method for espn_conn
+ff_draft(conn, ...)
+
+# S3 method for flea_conn
+ff_draft(conn, ...)
 
 # S3 method for mfl_conn
-ff_draft(conn, custom_players = FALSE, ...)
+ff_draft(conn, custom_players = deprecated(), ...)
 
 # S3 method for sleeper_conn
-ff_draft(conn, ...)
    
+ff_draft(conn, ...)
    
 
     
    Arguments
    @@ -182,7 +263,7 @@

    Arg

    - +
    custom_players

    MFL: TRUE or FALSE - retrieve custom players from the MFL database? (Allows for devy, placeholder picks, slightly slower)

    [Deprecated] - now returns custom players by default
    @@ -193,48 +274,90 @@

    Examples

    # \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_draft(ssb_conn)
-
    #> # A tibble: 57 x 10
-#>    timestamp           round pick  franchise_id franchise_name player_id
-#>    <dttm>              <chr> <chr> <chr>        <chr>          <chr>    
-#>  1 2020-05-15 19:43:56 01    01    0001         Team Pikachu   14803    
-#>  2 2020-05-15 19:53:18 01    02    0012         Team Mewtwo    14802    
-#>  3 2020-05-15 19:58:24 01    03    0010         Team Yoshi     14797    
-#>  4 2020-05-15 21:19:59 01    04    0013         Team Ness      14800    
-#>  5 2020-05-16 02:47:24 01    05    0010         Team Yoshi     14799    
-#>  6 2020-05-16 02:48:15 01    06    0012         Team Mewtwo    14833    
-#>  7 2020-05-16 04:03:59 01    07    0011         Team Diddy Ko~ 14832    
-#>  8 2020-05-16 07:00:48 01    08    0007         Team Kirby     14839    
-#>  9 2020-05-16 12:38:48 01    09    0006         Team King Ded~ 14836    
-#> 10 2020-05-16 13:47:29 01    10    0006         Team King Ded~ 14834    
-#> # ... with 47 more rows, and 4 more variables: player_name <chr>, pos <chr>,
-#> #   age <dbl>, team <chr>
    # }
+conn <- espn_connect(season = 2020, league_id = 899513)
+ff_draft(conn)
+
    #> # A tibble: 220 x 21
+#>    round  pick overall franchise_id franchise_name       user_nickname player_id
+#>    <int> <int>   <int>        <int> <chr>                <chr>             <int>
+#>  1     1     1       1            9 "RAFI CUNADO"        Brandon11598    3120348
+#>  2     1     2       2            5 "The Juggernaut"     longhorn0010    4047646
+#>  3     1     3       3            1 "The Early GGod"     dachosenJuan~   2977644
+#>  4     1     4       4            4 "I'm Also Sad "      Ciavalen5th     3121422
+#>  5     1     5       5            8 "Big Coomers"        Zarkoa           -16033
+#>  6     1     6       6            3 "PAKI STANS"         erodriguezk     3122840
+#>  7     1     7       7            2 "Coom  Dumpster"     mfespinosaIV      16800
+#>  8     1     8       8            6 "OBJ's Personal Por~ drake iz yoda     15683
+#>  9     1     9       9           10 "Austin \U0001f410D~ espn14856151      14880
+#> 10     1    10      10            7 "Tony El Tigre"      anthon8821581   2573079
+#> # ... with 210 more rows, and 14 more variables: player_name <chr>, pos <chr>,
+#> #   team <chr>, bid_amount <int>, nominating_team_id <int>, is_keeper <lgl>,
+#> #   can_keeper <lgl>, autodraft_type <int>, complete_date <dttm>,
+#> #   in_progress <lgl>, pick_id <int>, drafted <lgl>, lineupSlotId <int>,
+#> #   tradeLocked <lgl>
    # }
 
 # \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_draft(jml_conn)
-
    #> # A tibble: 48 x 13
-#>    draft_id status type  season round  pick franchise_id franchise_name
-#>    <chr>    <chr>  <chr> <chr>  <int> <int>        <int> <chr>         
-#>  1 5224587~ compl~ line~ 2020       1     1            4 The FANTom Me~
-#>  2 5224587~ compl~ line~ 2020       1     2            5 Barbarians    
-#>  3 5224587~ compl~ line~ 2020       1     3           11 Permian Panth~
-#>  4 5224587~ compl~ line~ 2020       1     4            2 KingGabe      
-#>  5 5224587~ compl~ line~ 2020       1     5            8 Hocka Flocka  
-#>  6 5224587~ compl~ line~ 2020       1     6            2 KingGabe      
-#>  7 5224587~ compl~ line~ 2020       1     7            2 KingGabe      
-#>  8 5224587~ compl~ line~ 2020       1     8            2 KingGabe      
-#>  9 5224587~ compl~ line~ 2020       1     9            6 sox05syd      
-#> 10 5224587~ compl~ line~ 2020       1    10            9 ZPMiller97    
-#> # ... with 38 more rows, and 5 more variables: player_id <chr>,
-#> #   player_name <chr>, pos <chr>, age <dbl>, team <chr>
    # }
+conn <- fleaflicker_connect(season = 2020, league_id = 206154)
+ff_draft(conn)
+
    #> # A tibble: 80 x 9
+#>    round  pick overall franchise_id franchise_name  player_id player_name  pos  
+#>    <int> <int>   <int>        <int> <chr>               <int> <chr>        <chr>
+#>  1     1     1       1      1373970 Bamenda Herd        15539 Clyde Edwar~ RB   
+#>  2     1     2       2      1374252 Central City C~     15604 Jonathan Ta~ RB   
+#>  3     1     3       3      1373991 Top City Terro~     15523 CeeDee Lamb  WR   
+#>  4     1     4       4      1374315 Shanghai Commu~     15555 J.K. Dobbins RB   
+#>  5     1     5       5      1374271 Clutch City Ba~     15601 D'Andre Swi~ RB   
+#>  6     1     6       6      1374271 Clutch City Ba~     15563 Cam Akers    RB   
+#>  7     1     7       7      1373883 Manitoba Marmo~     15540 Justin Jeff~ WR   
+#>  8     1     8       8      1373973 Red River Land~     15544 Jerry Jeudy  WR   
+#>  9     1     9       9      1374271 Clutch City Ba~     15537 Chase Young  EDR  
+#> 10     1    10      10      1373535 Winterthur Ang~     15620 Ke'Shawn Va~ RB   
+#> # ... with 70 more rows, and 1 more variable: team <chr>
    # }
+
+# \donttest{
+ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
+ff_draft(ssb_conn)
+
    #> # A tibble: 90 x 11
+#>    timestamp           round pick  overall franchise_id franchise_name player_id
+#>    <dttm>              <chr> <chr>   <int> <chr>        <chr>          <chr>    
+#>  1 2021-02-08 18:52:22 01    01          1 0014         Team Luigi     11244    
+#>  2 2021-02-08 19:20:07 01    02          2 0003         Team Donkey K~ 14073    
+#>  3 2021-02-08 20:01:16 01    03          3 0008         Team Bowser    11678    
+#>  4 2021-02-08 20:01:30 02    01          4 0008         Team Bowser    13131    
+#>  5 2021-02-08 20:12:30 02    02          5 0003         Team Donkey K~ 11671    
+#>  6 2021-02-09 02:55:39 02    03          6 0012         Team Mewtwo    13593    
+#>  7 2021-02-09 03:09:50 03    01          7 0014         Team Luigi     0829     
+#>  8 2021-02-09 03:12:44 03    02          8 0003         Team Donkey K~ 11222    
+#>  9 2021-02-09 03:22:50 03    03          9 0008         Team Bowser    14208    
+#> 10 2021-02-09 03:23:01 04    01         10 0008         Team Bowser    13156    
+#> # ... with 80 more rows, and 4 more variables: player_name <chr>, pos <chr>,
+#> #   age <dbl>, team <chr>
    # }
+
+# \donttest{
+jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+ff_draft(jml_conn)
+
    #> # A tibble: 48 x 13
+#>    draft_id       status   type  season round  pick franchise_id franchise_name 
+#>    <chr>          <chr>    <chr> <chr>  <int> <int>        <int> <chr>          
+#>  1 5224587733212~ complete line~ 2020       1     1            4 The FANTom Men~
+#>  2 5224587733212~ complete line~ 2020       1     2            5 Barbarians     
+#>  3 5224587733212~ complete line~ 2020       1     3           11 Permian Panthe~
+#>  4 5224587733212~ complete line~ 2020       1     4            2 KingGabe       
+#>  5 5224587733212~ complete line~ 2020       1     5            8 Hocka Flocka   
+#>  6 5224587733212~ complete line~ 2020       1     6            2 KingGabe       
+#>  7 5224587733212~ complete line~ 2020       1     7            2 KingGabe       
+#>  8 5224587733212~ complete line~ 2020       1     8            2 KingGabe       
+#>  9 5224587733212~ complete line~ 2020       1     9            6 sox05syd       
+#> 10 5224587733212~ complete line~ 2020       1    10            9 ZPMiller97     
+#> # ... with 38 more rows, and 5 more variables: player_id <chr>,
+#> #   player_name <chr>, pos <chr>, age <dbl>, team <chr>
    # }
    @@ -259,6 +382,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/ff_draftpicks.html b/docs/dev/reference/ff_draftpicks.html index 96622cdc..69e0b85a 100644 --- a/docs/dev/reference/ff_draftpicks.html +++ b/docs/dev/reference/ff_draftpicks.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Get Draft Picks

    - Source: R/generics.R, R/mfl_draftpicks.R, R/sleeper_draftpicks.R + Source: R/0_generics.R, R/espn_draftpicks.R, R/flea_draftpicks.R, and 2 more
    @@ -159,13 +234,19 @@

    Get Draft Picks

    Returns all draft picks (current and future) that belong to a specific franchise and have not yet been converted into players (i.e. selected.)

    - 
    ff_draftpicks(conn, ...)
+    
    ff_draftpicks(conn, ...)
+
+# S3 method for espn_conn
+ff_draftpicks(conn, ...)
+
+# S3 method for flea_conn
+ff_draftpicks(conn, franchise_id = NULL, ...)
 
 # S3 method for mfl_conn
-ff_draftpicks(conn, ...)
+ff_draftpicks(conn, ...)
 
 # S3 method for sleeper_conn
-ff_draftpicks(conn, ...)
    
+ff_draftpicks(conn, ...)

    Arguments

    @@ -178,6 +259,10 @@

    Arg

    + + + +
    ...

    other arguments (currently unused)
    franchise_id

    A list of franchise IDs to pull, if NULL will return all franchise IDs

    Value

    @@ -187,46 +272,64 @@

    Examples

    # \donttest{
-dlf_conn <- mfl_connect(2020, league_id = 37920)
-ff_draftpicks(conn = dlf_conn)
-
    #> # A tibble: 80 x 5
+conn <- espn_connect(
+  season = 2018,
+  league_id = 1178049,
+  espn_s2 = Sys.getenv("TAN_ESPN_S2"),
+  swid = Sys.getenv("TAN_SWID")
+)
+
+ff_draftpicks(conn)
+
    #> Warning: ESPN does not support draft pick trades. For draft results, please use ff_draft()
    #> NULL
    # }
+
+# \donttest{
+conn <- fleaflicker_connect(2020, 206154)
+ff_draftpicks(conn, franchise_id = 1373475)
+# }
+
+# \donttest{
+dlf_conn <- mfl_connect(2020, league_id = 37920)
+ff_draftpicks(conn = dlf_conn)
+
    #> # A tibble: 80 x 5
 #>    season franchise_id franchise_name round original_franchise_id
-#>     <dbl> <chr>        <chr>          <dbl> <chr>                
-#>  1   2021 0001         @dibari22          1 0001                 
-#>  2   2021 0001         @dibari22          2 0001                 
-#>  3   2021 0001         @dibari22          3 0001                 
-#>  4   2021 0001         @dibari22          5 0001                 
-#>  5   2021 0001         @dibari22          2 0009                 
-#>  6   2021 0002         @_PeteLaw          1 0002                 
-#>  7   2021 0002         @_PeteLaw          2 0002                 
-#>  8   2021 0002         @_PeteLaw          3 0002                 
-#>  9   2021 0002         @_PeteLaw          4 0002                 
-#> 10   2021 0002         @_PeteLaw          5 0002                 
-#> # ... with 70 more rows
    # }
+#>     <dbl> <chr>        <chr>          <dbl> <chr>                
+#>  1   2021 0001         @dibari22          1 0001                 
+#>  2   2021 0001         @dibari22          2 0001                 
+#>  3   2021 0001         @dibari22          3 0001                 
+#>  4   2021 0001         @dibari22          5 0001                 
+#>  5   2021 0001         @dibari22          2 0009                 
+#>  6   2021 0002         OPEN               1 0002                 
+#>  7   2021 0002         OPEN               2 0002                 
+#>  8   2021 0002         OPEN               3 0002                 
+#>  9   2021 0002         OPEN               4 0002                 
+#> 10   2021 0002         OPEN               5 0002                 
+#> # ... with 70 more rows
    # }
 
 # \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = 522458773317046272, season = 2020)
-ff_draftpicks(jml_conn)
-
    #> # A tibble: 144 x 5
+jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+ff_draftpicks(jml_conn)
+
    #> # A tibble: 144 x 5
 #>    season franchise_id franchise_name round original_franchise_id
-#>    <chr>         <int> <chr>          <int>                 <int>
-#>  1 2021              1 Fake News          1                     1
-#>  2 2021              1 Fake News          3                     1
-#>  3 2021              1 Fake News          4                     1
-#>  4 2022              1 Fake News          2                     1
-#>  5 2022              1 Fake News          3                     1
-#>  6 2022              1 Fake News          4                     1
-#>  7 2023              1 Fake News          1                     1
-#>  8 2023              1 Fake News          2                     1
-#>  9 2023              1 Fake News          3                     1
-#> 10 2023              1 Fake News          4                     1
-#> # ... with 134 more rows
    # }
+#>    <chr>         <int> <chr>          <int>                 <int>
+#>  1 2021              1 Fake News          3                     1
+#>  2 2021              1 Fake News          4                     1
+#>  3 2022              1 Fake News          2                     1
+#>  4 2022              1 Fake News          3                     1
+#>  5 2022              1 Fake News          4                     1
+#>  6 2023              1 Fake News          1                     1
+#>  7 2023              1 Fake News          2                     1
+#>  8 2023              1 Fake News          3                     1
+#>  9 2023              1 Fake News          4                     1
+#> 10 2021              2 KingGabe           1                     2
+#> # ... with 134 more rows
    # }
    @@ -251,6 +354,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/ff_franchises.html b/docs/dev/reference/ff_franchises.html index cf9a40ee..011c68c4 100644 --- a/docs/dev/reference/ff_franchises.html +++ b/docs/dev/reference/ff_franchises.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Get League Franchises

    - Source: R/generics.R, R/mfl_franchises.R, R/sleeper_franchises.R + Source: R/0_generics.R, R/espn_franchises.R, R/flea_franchises.R, and 2 more
    @@ -159,13 +234,19 @@

    Get League Franchises

    Return franchise-level data (including divisions, usernames, etc) - available data may vary slightly based on platform.

    - 
    ff_franchises(conn)
+    
    ff_franchises(conn)
+
+# S3 method for espn_conn
+ff_franchises(conn)
+
+# S3 method for flea_conn
+ff_franchises(conn)
 
 # S3 method for mfl_conn
-ff_franchises(conn)
+ff_franchises(conn)
 
 # S3 method for sleeper_conn
-ff_franchises(conn)
    
+ff_franchises(conn)

    Arguments

    @@ -183,51 +264,101 @@

    Examples

    # \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_franchises(ssb_conn)
-
    #> # A tibble: 14 x 7
-#>    franchise_id franchise_name logo  icon  abbrev bbidAvailableBa~
-#>    <chr>        <chr>          <chr> <chr> <chr>  <chr>           
-#>  1 0001         Team Pikachu   http~ http~ PIKA   159.00          
-#>  2 0002         Team Simon Be~ http~ http~ SIMN   171.00          
-#>  3 0003         Team Captain ~ http~ http~ CFCN   50.00           
-#>  4 0004         Team Ice Clim~ http~ http~ ICE    0.00            
-#>  5 0005         Team Dr. Mario http~ http~ DRM    84.00           
-#>  6 0006         Team King Ded~ http~ http~ KDDD   120.00          
-#>  7 0007         Team Kirby     http~ http~ KRBY   55.00           
-#>  8 0008         Team Fox       http~ http~ FOX    173.00          
-#>  9 0009         Team Link      http~ http~ LINK   81.00           
-#> 10 0010         Team Yoshi     http~ http~ YSHI   0.00            
-#> 11 0011         Team Diddy Ko~ http~ http~ DDY    179.00          
-#> 12 0012         Team Mewtwo    http~ http~ MEW2   121.00          
-#> 13 0013         Team Ness      http~ http~ NESS   0.00            
-#> 14 0014         Team Luigi     http~ http~ LUIG   45.00           
-#> # ... with 1 more variable: waiverSortOrder <chr>
    # }
+conn <- espn_connect(season = 2020, league_id = 1178049)
+
+ff_franchises(conn)
+
    #> # A tibble: 14 x 8
+#>    franchise_id franchise_name  franchise_abbrev logo      waiver_order user_id 
+#>           <int> <chr>           <chr>            <chr>            <int> <chr>   
+#>  1            1 Rushin' Collus~ RC               https://~            3 {6CE354~
+#>  2            2 Gurleys Gone W~ GGW              https://~            6 {74ADB5~
+#>  3            3 The Name's Mage Mage             http://i~           12 {141C9C~
+#>  4            4 dlp:: thoriyan  thor             https://~            5 {1E6BB1~
+#>  5            5 No Ultrasmurfs~ ALH              http://m~            9 {E88F51~
+#>  6            6 Dak Street Boys DSB              https://~           11 {441A52~
+#>  7            7 Kung-Fu Kenny   KDOT             https://~           10 {C60506~
+#>  8            8 Sticky Simians  LEL              https://~            4 {599F7D~
+#>  9            9 The Wright Stu~ TWS              NA                   8 {F831BD~
+#> 10           10 Too Many Cooks  COOK             https://~            7 {C9AE3C~
+#> 11           11 Team Typhon     TYPH             https://~           14 {070C02~
+#> 12           12 Homicidal Hicks HH               http://3~            1 {CBF269~
+#> 13           13 Baby You Can D~ POKE             http://v~           13 {A5DC83~
+#> 14           14 Boralus Booty   BB               https://~            2 {1778DE~
+#> # ... with 2 more variables: user_name <chr>, user_nickname <chr>
    # }
 
 # \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = 522458773317046272, season = 2020)
-ff_franchises(jml_conn)
-
    #> # A tibble: 12 x 5
+conn <- fleaflicker_connect(season = 2020, league_id = 206154)
+ff_franchises(conn)
+
    #> # A tibble: 16 x 10
+#>    division_id division_name franchise_id franchise_name    franchise_logo      
+#>          <int> <chr>                <int> <chr>             <chr>               
+#>  1      606681 JDL North          1371776 Winter Hill Blac~ https://s3.amazonaw~
+#>  2      606681 JDL North          1373973 Red River Land T~ https://s3.amazonaw~
+#>  3      606681 JDL North          1373501 Midgard Gallows   https://s3.amazonaw~
+#>  4      606681 JDL North          1373991 Top City Terrors  https://s3.amazonaw~
+#>  5      606682 JDL East           1374255 Mushroom City Ka~ https://s3.amazonaw~
+#>  6      606682 JDL East           1373475 Winterfell Dire ~ https://s3.amazonaw~
+#>  7      606682 JDL East           1373480 Goldenrod City N~ https://s3.amazonaw~
+#>  8      606682 JDL East           1374252 Central City Cru~ https://s3.amazonaw~
+#>  9      606683 JDL South          1373970 Bamenda Herd      https://s3.amazonaw~
+#> 10      606683 JDL South          1374271 Clutch City Ball~ https://s3.amazonaw~
+#> 11      606683 JDL South          1374315 Shanghai Communi~ NA                  
+#> 12      606683 JDL South          1373993 Boomtown Sly Fox~ https://s3.amazonaw~
+#> 13      606684 JDL West           1373393 Philadelphia Fire https://s3.amazonaw~
+#> 14      606684 JDL West           1373535 Winterthur Angry~ https://s3.amazonaw~
+#> 15      606684 JDL West           1373883 Manitoba Marmots  NA                  
+#> 16      606684 JDL West           1373988 Springfield Isot~ https://s3.amazonaw~
+#> # ... with 5 more variables: franchise_abbrev <chr>, user_id <int>,
+#> #   user_name <chr>, user_avatar <chr>, user_lastlogin <dttm>
    # }
+
+# \donttest{
+ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
+ff_franchises(ssb_conn)
+
    #> # A tibble: 14 x 7
+#>    franchise_id franchise_name  logo         icon        abbrev bbidAvailableBa~
+#>    <chr>        <chr>           <chr>        <chr>       <chr>  <chr>           
+#>  1 0001         Team Pikachu    https://i.i~ https://i.~ PIKA   159.00          
+#>  2 0002         Team Simon Bel~ https://i.i~ https://i.~ SIMN   99.00           
+#>  3 0003         Team Donkey Ko~ https://i.i~ https://i.~ DK     50.00           
+#>  4 0004         Team Ice Climb~ https://i.i~ https://i.~ ICE    0.00            
+#>  5 0005         Team Dr. Mario  https://i.i~ https://i.~ DRM    84.00           
+#>  6 0006         Team King Dede~ https://i.i~ https://i.~ KDDD   87.00           
+#>  7 0007         Team Kirby      https://i.i~ https://i.~ KRBY   40.00           
+#>  8 0008         Team Bowser     https://i.i~ https://i.~ BWSR   0.00            
+#>  9 0009         Team Link       https://i.i~ https://i.~ LINK   81.00           
+#> 10 0010         Team Yoshi      https://i.i~ https://i.~ YSHI   0.00            
+#> 11 0011         Team Diddy Kong https://i.i~ https://i.~ DDY    173.00          
+#> 12 0012         Team Mewtwo     https://i.i~ https://i.~ MEW2   0.00            
+#> 13 0013         Team Ness       https://i.i~ https://i.~ NESS   0.00            
+#> 14 0014         Team Luigi      https://i.i~ https://i.~ LUIG   0.00            
+#> # ... with 1 more variable: waiverSortOrder <chr>
    # }
+
+# \donttest{
+jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+ff_franchises(jml_conn)
+
    #> # A tibble: 12 x 5
 #>    franchise_id franchise_name    user_name      user_id            co_owners 
-#>           <int> <chr>             <chr>          <chr>              <list>    
-#>  1            1 Fake News         Jcurtis44      70729037081100288  <NULL>    
-#>  2            2 KingGabe          KingGabe       76686532077305856  <NULL>    
-#>  3            3 solarpool         solarpool      202892038360801280 <NULL>    
-#>  4            4 The FANTom Menace weeknee        202882046337490944 <NULL>    
-#>  5            5 Barbarians        ABitterHomer   386383436639973376 <NULL>    
-#>  6            6 sox05syd          sox05syd       409797051455393792 <NULL>    
-#>  7            7 Flipadelphia05    Flipadelphia05 386950378371207168 <NULL>    
-#>  8            8 Hocka Flocka      TwoFrames      386976568364306432 <NULL>    
-#>  9            9 ZPMiller97        ZPMiller97     386571720443764736 <NULL>    
-#> 10           10 JMLarkin          JMLarkin       387070108625039360 <NULL>    
-#> 11           11 Permian Panthers  theoracleETS   198540145396289536 <list [1]>
-#> 12           12 jaydk             jaydk          401485903224193024 <NULL>    
    # }
+#>           <int> <chr>             <chr>          <chr>              <list>    
+#>  1            1 Fake News         Jcurtis44      70729037081100288  <NULL>    
+#>  2            2 KingGabe          KingGabe       76686532077305856  <NULL>    
+#>  3            3 solarpool         solarpool      202892038360801280 <NULL>    
+#>  4            4 The FANTom Menace weeknee        202882046337490944 <NULL>    
+#>  5            5 Barbarians        ABitterHomer   386383436639973376 <NULL>    
+#>  6            6 sox05syd          sox05syd       409797051455393792 <NULL>    
+#>  7            7 Flipadelphia05    Flipadelphia05 386950378371207168 <NULL>    
+#>  8            8 Hocka Flocka      TwoFrames      386976568364306432 <NULL>    
+#>  9            9 ZPMiller97        ZPMiller97     386571720443764736 <NULL>    
+#> 10           10 JMLarkin          JMLarkin       387070108625039360 <NULL>    
+#> 11           11 Permian Panthers  theoracleETS   198540145396289536 <list [1]>
+#> 12           12 jaydk             jaydk          401485903224193024 <NULL>    
    # }
    @@ -252,6 +383,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/ff_league.html b/docs/dev/reference/ff_league.html index 9abf06dd..427d1b64 100644 --- a/docs/dev/reference/ff_league.html +++ b/docs/dev/reference/ff_league.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + +
    + +
    + + @@ -151,7 +226,7 @@

    Get League Summary

    - Source: R/generics.R, R/mfl_league.R, R/sleeper_league.R + Source: R/0_generics.R, R/espn_league.R, R/flea_league.R, and 2 more
    @@ -159,13 +234,19 @@

    Get League Summary

    This function returns a tidy dataframe of common league settings, including details like "1QB" or "2QB/SF", scoring, best ball, team count, IDP etc. This is potentially useful in summarising the features of multiple leagues.

    - 
    ff_league(conn)
+    
    ff_league(conn)
+
+# S3 method for espn_conn
+ff_league(conn)
+
+# S3 method for flea_conn
+ff_league(conn)
 
 # S3 method for mfl_conn
-ff_league(conn)
+ff_league(conn)
 
 # S3 method for sleeper_conn
-ff_league(conn)
    
+ff_league(conn)

    Arguments

    @@ -183,31 +264,56 @@

    Examples

    # \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_league(ssb_conn)
-
    #> # A tibble: 1 x 13
-#>   league_id league_name franchise_count qb_type idp   scoring_flags best_ball
-#>   <chr>     <chr>                 <dbl> <chr>   <lgl> <chr>         <lgl>    
-#> 1 54040     The Super ~              14 1QB     FALSE 0.5_ppr, TEP~ TRUE     
-#> # ... with 6 more variables: salary_cap <lgl>, player_copies <dbl>,
-#> #   years_active <chr>, qb_count <chr>, roster_size <dbl>, league_depth <dbl>
    # }
-
-
-jml_conn <- ff_connect(platform = "sleeper", league_id = 522458773317046272, season = 2020)
-ff_league(jml_conn)
-
    #> # A tibble: 1 x 15
-#>   league_id league_name league_type franchise_count qb_type idp   scoring_flags
-#>   <chr>     <chr>       <chr>                 <dbl> <chr>   <lgl> <chr>        
-#> 1 52245877~ The JanMic~ dynasty                  12 1QB     FALSE 0.5_ppr      
-#> # ... with 8 more variables: best_ball <lgl>, salary_cap <lgl>,
-#> #   player_copies <dbl>, years_active <chr>, qb_count <chr>, roster_size <int>,
-#> #   league_depth <dbl>, prev_league_ids <chr>
    
+conn <- espn_connect(season = 2020, league_id = 899513)
+ff_league(conn)
+
    #> # A tibble: 1 x 16
+#>   league_id league_name season league_type franchise_count qb_type idp  
+#>   <chr>     <chr>        <int> <chr>                 <int> <chr>   <lgl>
+#> 1 899513    Sucio Boys    2020 keeper                   10 2QB/SF  FALSE
+#> # ... with 9 more variables: scoring_flags <chr>, best_ball <lgl>,
+#> #   salary_cap <lgl>, player_copies <dbl>, years_active <chr>, qb_count <chr>,
+#> #   roster_size <int>, league_depth <dbl>, keeper_count <int>
    # }
+
+# \donttest{
+conn <- fleaflicker_connect(2020, 206154)
+ff_league(conn)
+
    #> # A tibble: 1 x 15
+#>   league_id league_name         season league_type franchise_count qb_type idp  
+#>   <chr>     <chr>                <int> <chr>                 <dbl> <chr>   <lgl>
+#> 1 206154    Jackpot Dynasty Le~   2020 dynasty                  16 1QB     TRUE 
+#> # ... with 8 more variables: scoring_flags <chr>, best_ball <lgl>,
+#> #   salary_cap <lgl>, player_copies <dbl>, qb_count <chr>, roster_size <int>,
+#> #   league_depth <dbl>, keeper_count <int>
    # }
+
+# \donttest{
+ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
+ff_league(ssb_conn)
+
    #> # A tibble: 1 x 14
+#>   league_id league_name      season franchise_count qb_type idp   scoring_flags 
+#>   <chr>     <chr>             <int>           <dbl> <chr>   <lgl> <chr>         
+#> 1 54040     The Super Smash~   2020              14 1QB     FALSE 0.5_ppr, TEPr~
+#> # ... with 7 more variables: best_ball <lgl>, salary_cap <lgl>,
+#> #   player_copies <dbl>, years_active <chr>, qb_count <chr>, roster_size <dbl>,
+#> #   league_depth <dbl>
    # }
+
+# \donttest{
+jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+ff_league(jml_conn)
+
    #> # A tibble: 1 x 16
+#>   league_id    league_name      season league_type franchise_count qb_type idp  
+#>   <chr>        <chr>             <int> <chr>                 <dbl> <chr>   <lgl>
+#> 1 52245877331~ The JanMichaelL~   2020 dynasty                  12 1QB     FALSE
+#> # ... with 9 more variables: scoring_flags <chr>, best_ball <lgl>,
+#> #   salary_cap <lgl>, player_copies <dbl>, years_active <chr>, qb_count <chr>,
+#> #   roster_size <int>, league_depth <dbl>, prev_league_ids <chr>
    # }
    + + + diff --git a/docs/dev/reference/ff_playerscores.html b/docs/dev/reference/ff_playerscores.html index fffb76f5..f6a5e755 100644 --- a/docs/dev/reference/ff_playerscores.html +++ b/docs/dev/reference/ff_playerscores.html @@ -44,6 +44,12 @@ + + + + + + @@ -51,8 +57,9 @@ - +Please see ff_scoringhistory() for an alternative reconstruction." /> + + @@ -87,7 +94,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -95,7 +102,7 @@ + +
    + +
    + + @@ -153,23 +228,29 @@

    Get Player Scoring History

    - Source: R/generics.R, R/mfl_playerscores.R, R/sleeper_playerscores.R + Source: R/0_generics.R, R/espn_playerscores.R, R/flea_playerscores.R, and 2 more

    This function returns a tidy dataframe of player scores based on league rules.

    Unfortunately, Sleeper has deprecated their player stats endpoint from their supported/open API. -Adding some nflfastr-based ideas to the pipeline for future iterations.

    +Please see ff_scoringhistory() for an alternative reconstruction.

    - 
    ff_playerscores(conn, season, week, ...)
+    
    ff_playerscores(conn, ...)
+
+# S3 method for espn_conn
+ff_playerscores(conn, limit = 1000, ...)
+
+# S3 method for flea_conn
+ff_playerscores(conn, page_limit = NULL, ...)
 
 # S3 method for mfl_conn
-ff_playerscores(conn, season, week, ...)
+ff_playerscores(conn, season, week, ...)
 
 # S3 method for sleeper_conn
-ff_playerscores(conn, ...)
    
+ff_playerscores(conn, ...)

    Arguments

    @@ -178,17 +259,25 @@

    Arg

    + + + + + + + + + + + + - - - - - +
    conn

    the list object created by ff_connect()
    ...

    other arguments (currently unused)

    limit

    A numeric describing the number of players to return - default 1000

    page_limit

    A numeric describing the number of pages to return - default NULL returns all available

    season

    the season of interest - generally only the most recent 2-3 seasons are available
    week

    a numeric or one of YTD (year-to-date) or AVG (average to date)

    ...

    other arguments (currently unused)

    a numeric vector (ie 1:17) or one of YTD (year-to-date) or AVG (average to date)
    @@ -199,28 +288,65 @@

    See also

    + +

    ff_scoringhistory

    Examples

    # \donttest{
-dlf_conn <- mfl_connect(2020, league_id = 37920)
-ff_playerscores(conn = dlf_conn, season = 2019, week = "YTD")
-
    #> # A tibble: 597 x 8
-#>    season week  player_id player_name          pos   team  points isAvailable
-#>     <dbl> <chr> <chr>     <chr>                <chr> <chr> <chr>  <chr>      
-#>  1   2019 YTD   13593     Jackson, Lamar       QB    BAL   480.68 0          
-#>  2   2019 YTD   13130     McCaffrey, Christian RB    CAR   469.20 0          
-#>  3   2019 YTD   12652     Thomas, Michael      WR    NOS   391.00 0          
-#>  4   2019 YTD   11244     Kelce, Travis        TE    KCC   369.80 0          
-#>  5   2019 YTD   12625     Elliott, Ezekiel     RB    DAL   355.70 0          
-#>  6   2019 YTD   12620     Prescott, Dak        QB    DAL   351.78 0          
-#>  7   2019 YTD   12626     Henry, Derrick       RB    TEN   351.60 0          
-#>  8   2019 YTD   13113     Watson, Deshaun      QB    HOU   342.08 0          
-#>  9   2019 YTD   10703     Wilson, Russell      QB    SEA   339.70 0          
-#> 10   2019 YTD   13319     Jones, Aaron         RB    GBP   337.90 0          
-#> # ... with 587 more rows
    # }
+
+conn <- espn_connect(season = 2020, league_id = 899513)
+ff_playerscores(conn, limit = 5)
+
    #> # A tibble: 5 x 8
+#>   season player_id player_name     pos   score_total score_average franchise_id
+#>    <int>     <int> <chr>           <chr>       <dbl>         <dbl>        <int>
+#> 1   2020   3054850 Alvin Kamara    RB           337.          22.5            9
+#> 2   2020   3043078 Derrick Henry   RB           324.          20.2            4
+#> 3   2020     16800 Davante Adams   WR           301.          21.5            2
+#> 4   2020     15795 DeAndre Hopkins WR           230.          14.4            4
+#> 5   2020   2576925 Darren Waller   TE           225.          14.1            4
+#> # ... with 1 more variable: franchise_name <chr>
    # }
+# \donttest{
+
+conn <- fleaflicker_connect(2020, 312861)
+x <- ff_playerscores(conn, page_limit = 2)
+x
+
    #> # A tibble: 60 x 8
+#>    player_id player_name     pos   team  games score_total score_avg score_sd
+#>        <int> <chr>           <chr> <chr> <dbl>       <dbl>     <dbl>    <dbl>
+#>  1     13761 Josh Allen      QB    BUF      16        550.      34.4    10.4 
+#>  2      3452 Aaron Rodgers   QB    GB       16        542.      33.8     8.49
+#>  3     12894 Patrick Mahomes QB    KC       15        520.      34.6     9.95
+#>  4      8598 Russell Wilson  QB    SEA      16        513.      32.1    10.8 
+#>  5     14664 Kyler Murray    QB    ARI      16        507.      31.7    11.9 
+#>  6     12919 Deshaun Watson  QB    HOU      16        503.      31.5     7.96
+#>  7       309 Tom Brady       QB    TB       16        488.      30.5    12.2 
+#>  8      8514 Ryan Tannehill  QB    TEN      16        469.      29.3     9.76
+#>  9     15516 Justin Herbert  QB    LAC      15        459.      30.6     9.67
+#> 10      8625 Kirk Cousins    QB    MIN      16        446.      27.9     9.8 
+#> # ... with 50 more rows
    # }
+# \donttest{
+sfb_conn <- mfl_connect(2020, league_id = 65443)
+ff_playerscores(conn = sfb_conn, season = 2019, week = "YTD")
+
    #> # A tibble: 589 x 8
+#>    season week  player_id player_name          pos   team  points is_available
+#>     <dbl> <chr> <chr>     <chr>                <chr> <chr>  <dbl> <chr>       
+#>  1   2019 YTD   13593     Jackson, Lamar       QB    BAL     489. 1           
+#>  2   2019 YTD   13130     McCaffrey, Christian RB    CAR     447. 1           
+#>  3   2019 YTD   12652     Thomas, Michael      WR    NOS     338. 1           
+#>  4   2019 YTD   13113     Watson, Deshaun      QB    HOU     330. 1           
+#>  5   2019 YTD   11244     Kelce, Travis        TE    KCC     317. 1           
+#>  6   2019 YTD   10703     Wilson, Russell      QB    SEA     315. 1           
+#>  7   2019 YTD   12620     Prescott, Dak        QB    DAL     314. 1           
+#>  8   2019 YTD   13128     Cook, Dalvin         RB    MIN     313. 1           
+#>  9   2019 YTD   13319     Jones, Aaron         RB    GBP     312  1           
+#> 10   2019 YTD   12625     Elliott, Ezekiel     RB    DAL     309. 1           
+#> # ... with 579 more rows
    # }
    + + + diff --git a/docs/dev/reference/ff_rosters.html b/docs/dev/reference/ff_rosters.html index 52ecd205..deaa75d9 100644 --- a/docs/dev/reference/ff_rosters.html +++ b/docs/dev/reference/ff_rosters.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Get League Rosters

    - Source: R/generics.R, R/mfl_rosters.R, R/sleeper_rosters.R + Source: R/0_generics.R, R/espn_rosters.R, R/flea_rosters.R, and 2 more
    @@ -159,13 +234,19 @@

    Get League Rosters

    This function returns a tidy dataframe of team rosters

    - 
    ff_rosters(conn, ...)
+    
    ff_rosters(conn, ...)
+
+# S3 method for espn_conn
+ff_rosters(conn, week = NULL, ...)
+
+# S3 method for flea_conn
+ff_rosters(conn, ...)
 
 # S3 method for mfl_conn
-ff_rosters(conn, custom_players = FALSE, ...)
+ff_rosters(conn, custom_players = deprecated(), week = NULL, ...)
 
 # S3 method for sleeper_conn
-ff_rosters(conn, ...)
    
+ff_rosters(conn, ...)

    Arguments

    @@ -178,9 +259,13 @@

    Arg

    + + + + - +
    ...

    arguments passed to other methods (currently none)
    week

    a numeric that specifies which week to return

    custom_players

    TRUE or FALSE - include custom players? defaults to FALSE

    [Deprecated] - now returns custom players by default
    @@ -191,47 +276,76 @@

    Examples

    # \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_rosters(ssb_conn)
-
    #> # A tibble: 435 x 11
-#>    franchise_id franchise_name player_id player_name pos   team    age
-#>    <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#>  1 0001         Team Pikachu   13189     Engram, Ev~ TE    NYG    26.2
-#>  2 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    28  
-#>  3 0001         Team Pikachu   14085     Pollard, T~ RB    DAL    23.6
-#>  4 0001         Team Pikachu   13645     Smith, Tre~ WR    NOS    24.9
-#>  5 0001         Team Pikachu   12110     Brate, Cam~ TE    TBB    29.4
-#>  6 0001         Team Pikachu   13168     Reynolds, ~ WR    LAR    25.8
-#>  7 0001         Team Pikachu   13793     Valdes-Sca~ WR    GBP    26.1
-#>  8 0001         Team Pikachu   13879     Allen, Kyle QB    WAS    24.7
-#>  9 0001         Team Pikachu   13377     Patrick, T~ WR    DEN    27  
-#> 10 0001         Team Pikachu   13254     Shaheen, A~ TE    MIA    26.9
-#> # ... with 425 more rows, and 4 more variables: roster_status <chr>,
-#> #   drafted <chr>, draft_year <chr>, draft_round <chr>
    # }
+conn <- espn_connect(season = 2020, league_id = 899513)
+ff_league(conn)
+
    #> # A tibble: 1 x 16
+#>   league_id league_name season league_type franchise_count qb_type idp  
+#>   <chr>     <chr>        <int> <chr>                 <int> <chr>   <lgl>
+#> 1 899513    Sucio Boys    2020 keeper                   10 2QB/SF  FALSE
+#> # ... with 9 more variables: scoring_flags <chr>, best_ball <lgl>,
+#> #   salary_cap <lgl>, player_copies <dbl>, years_active <chr>, qb_count <chr>,
+#> #   roster_size <int>, league_depth <dbl>, keeper_count <int>
    # }
+# \donttest{
+joe_conn <- ff_connect(platform = "fleaflicker", league_id = 312861, season = 2020)
+ff_rosters(joe_conn)
+
    #> # A tibble: 282 x 7
+#>    franchise_id franchise_name player_id player_name  pos   team  sportradar_id 
+#>           <int> <chr>              <int> <chr>        <chr> <chr> <chr>         
+#>  1      1578553 Running Bear       12032 Carson Wentz QB    IND   e9a5c16b-4472~
+#>  2      1578553 Running Bear       12159 Dak Prescott QB    DAL   86197778-8d4b~
+#>  3      1578553 Running Bear       13325 Austin Ekel~ RB    LAC   e5b8c439-a48a~
+#>  4      1578553 Running Bear       12926 Chris Godwin WR    TB    baa61bb5-f8d0~
+#>  5      1578553 Running Bear       16250 Ja'Marr Cha~ WR    CIN   fa99e984-d63b~
+#>  6      1578553 Running Bear        6660 Antonio Bro~ WR    TB    16e33176-b73e~
+#>  7      1578553 Running Bear        8429 Marvin Jones WR    JAC   1a2fbc23-e6db~
+#>  8      1578553 Running Bear       13788 Michael Gal~ WR    DAL   9e174ff2-ca0e~
+#>  9      1578553 Running Bear       15531 Brandon Aiy~ WR    SF    c90471cc-fa60~
+#> 10      1578553 Running Bear        7378 Cam Newton   QB    NE    214e55e4-a089~
+#> # ... with 272 more rows
    # }
+# \donttest{
+ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
+ff_rosters(ssb_conn)
+
    #> # A tibble: 442 x 11
+#>    franchise_id franchise_name player_id player_name           pos   team    age
+#>    <chr>        <chr>          <chr>     <chr>                 <chr> <chr> <dbl>
+#>  1 0001         Team Pikachu   13189     Engram, Evan          TE    NYG    26.8
+#>  2 0001         Team Pikachu   11680     Landry, Jarvis        WR    CLE    28.5
+#>  3 0001         Team Pikachu   13645     Smith, Tre'Quan       WR    NOS    25.4
+#>  4 0001         Team Pikachu   12110     Brate, Cameron        TE    TBB    29.9
+#>  5 0001         Team Pikachu   13168     Reynolds, Josh        WR    LAR    26.3
+#>  6 0001         Team Pikachu   13793     Valdes-Scantling, Ma~ WR    GBP    26.7
+#>  7 0001         Team Pikachu   13377     Patrick, Tim          WR    DEN    27.5
+#>  8 0001         Team Pikachu   13254     Shaheen, Adam         TE    MIA    27.4
+#>  9 0001         Team Pikachu   14803     Edwards-Helaire, Cly~ RB    KCC    22.2
+#> 10 0001         Team Pikachu   14838     Shenault, Laviska     WR    JAC    22.7
+#> # ... with 432 more rows, and 4 more variables: roster_status <chr>,
+#> #   drafted <chr>, draft_year <chr>, draft_round <chr>
    # }
 
 # \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = 522458773317046272, season = 2020)
-ff_rosters(jml_conn)
-
    #> # A tibble: 350 x 7
+jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+ff_rosters(jml_conn)
+
    #> # A tibble: 350 x 7
 #>    franchise_id franchise_name player_id player_name     pos   team    age
-#>    <chr>        <chr>          <chr>     <chr>           <chr> <chr> <dbl>
-#>  1 1            Fake News      2025      Albert Wilson   WR    MIA    28.4
-#>  2 1            Fake News      4089      Gerald Everett  TE    LAR    26.4
-#>  3 1            Fake News      6068      Devine Ozigbo   RB    JAX    24.1
-#>  4 1            Fake News      4036      Corey Davis     WR    TEN    25.9
-#>  5 1            Fake News      1339      Zach Ertz       TE    PHI    30  
-#>  6 1            Fake News      5068      Kerryon Johnson RB    DET    23.4
-#>  7 1            Fake News      5965      Miles Boykin    WR    BAL    24.1
-#>  8 1            Fake News      289       Drew Brees      QB    NO     41.8
-#>  9 1            Fake News      4435      Anthony Firkser TE    TEN    25.7
-#> 10 1            Fake News      4199      Aaron Jones     RB    GB     26  
-#> # ... with 340 more rows
    # }
+#>    <chr>        <chr>          <chr>     <chr>           <chr> <chr> <dbl>
+#>  1 1            Fake News      1110      T.Y. Hilton     WR    IND    31.6
+#>  2 1            Fake News      1339      Zach Ertz       TE    PHI    30.6
+#>  3 1            Fake News      1426      DeAndre Hopkins WR    ARI    29  
+#>  4 1            Fake News      1825      Jarvis Landry   WR    CLE    28.5
+#>  5 1            Fake News      2025      Albert Wilson   WR    MIA    28.9
+#>  6 1            Fake News      2197      Brandin Cooks   WR    HOU    27.7
+#>  7 1            Fake News      2319      DeVante Parker  WR    MIA    28.4
+#>  8 1            Fake News      232       Frank Gore      RB    NYJ    38.1
+#>  9 1            Fake News      2822      Adam Humphries  WR    WAS    28  
+#> 10 1            Fake News      289       Drew Brees      QB    NO     42.4
+#> # ... with 340 more rows
    # }
    + + + diff --git a/docs/dev/reference/ff_schedule.html b/docs/dev/reference/ff_schedule.html index ae622a54..8aee549f 100644 --- a/docs/dev/reference/ff_schedule.html +++ b/docs/dev/reference/ff_schedule.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Get Schedule

    - Source: R/generics.R, R/mfl_schedule.R, R/sleeper_schedule.R + Source: R/0_generics.R, R/espn_schedule.R, R/flea_schedule.R, and 2 more
    @@ -159,13 +234,19 @@

    Get Schedule

    This function returns a tidy dataframe with one row for every team for every weekly matchup

    - 
    ff_schedule(conn, ...)
+    
    ff_schedule(conn, ...)
+
+# S3 method for espn_conn
+ff_schedule(conn, ...)
+
+# S3 method for flea_conn
+ff_schedule(conn, week = 1:17, ...)
 
 # S3 method for mfl_conn
-ff_schedule(conn, ...)
+ff_schedule(conn, ...)
 
 # S3 method for sleeper_conn
-ff_schedule(conn, ...)
    
+ff_schedule(conn, ...)

    Arguments

    @@ -176,7 +257,11 @@

    Arg

    - + + + + +
    ...

    additional args passed to each platform

    for other platforms

    week

    a numeric or numeric vector specifying which weeks to pull
    @@ -187,46 +272,71 @@

    Examples

    # \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_schedule(ssb_conn)
-
    #> # A tibble: 190 x 7
-#>     week franchise_id franchise_score spread result opponent_id opponent_score
-#>    <dbl> <chr>                  <dbl>  <dbl> <chr>  <chr>                <dbl>
-#>  1     1 0001                    123.     NA W      0002                  103.
-#>  2     1 0002                    103.     NA L      0001                  123.
-#>  3     1 0003                    128.     NA L      0004                  174.
-#>  4     1 0004                    174.     NA W      0003                  128.
-#>  5     1 0005                    144.     NA W      0011                  130.
-#>  6     1 0006                    173.     NA W      0013                  125.
-#>  7     1 0007                    145.     NA W      0010                  127.
-#>  8     1 0008                    185.     NA W      0009                  176.
-#>  9     1 0009                    176.     NA L      0008                  185.
-#> 10     1 0010                    127.     NA L      0007                  145.
-#> # ... with 180 more rows
    # }
+espn_conn <- espn_connect(season = 2020, league_id = 899513)
+ff_schedule(espn_conn)
+
    #> # A tibble: 140 x 6
+#>     week franchise_id franchise_score result opponent_id opponent_score
+#>    <int>        <int>           <dbl> <chr>        <int>          <dbl>
+#>  1     1            1            102. L                4           130.
+#>  2     1            2            156. W                3           135.
+#>  3     1            3            135. L                2           156.
+#>  4     1            4            130. W                1           102.
+#>  5     1            5            133. W                7           131.
+#>  6     1            6            119. L                9           124.
+#>  7     1            7            131. L                5           133.
+#>  8     1            8            120. L               10           122.
+#>  9     1            9            124. W                6           119.
+#> 10     1           10            122. W                8           120.
+#> # ... with 130 more rows
    # }
 
 # \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = 522458773317046272, season = 2020)
-ff_schedule(jml_conn)
-
    #> # A tibble: 156 x 6
+conn <- fleaflicker_connect(season = 2019, league_id = 206154)
+x <- ff_schedule(conn, week = 2:4)
+# }
+
+# \donttest{
+ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
+ff_schedule(ssb_conn)
+
    #> # A tibble: 234 x 6
+#>     week franchise_id franchise_score result opponent_id opponent_score
+#>    <dbl> <chr>                  <dbl> <chr>  <chr>                <dbl>
+#>  1     1 0001                    123. W      0002                  103.
+#>  2     1 0002                    103. L      0001                  123.
+#>  3     1 0003                    128. L      0004                  174.
+#>  4     1 0004                    174. W      0003                  128.
+#>  5     1 0005                    144. W      0011                  130.
+#>  6     1 0006                    173. W      0013                  125.
+#>  7     1 0007                    145. W      0010                  127.
+#>  8     1 0008                    185. W      0009                  176.
+#>  9     1 0009                    176. L      0008                  185.
+#> 10     1 0010                    127. L      0007                  145.
+#> # ... with 224 more rows
    # }
+
+# \donttest{
+jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+ff_schedule(jml_conn)
+
    #> # A tibble: 184 x 6
 #>     week franchise_id franchise_score opponent_id opponent_score result
-#>    <int>        <int>           <dbl>       <int>          <dbl> <chr> 
-#>  1     1            1            97.8          12          160.  L     
-#>  2     1            2            65.9           8           70.2 L     
-#>  3     1            3           103.           10           71   W     
-#>  4     1            4           133.            7          106.  W     
-#>  5     1            5            82.4           6           99.3 L     
-#>  6     1            6            99.3           5           82.4 W     
-#>  7     1            7           106.            4          133.  L     
-#>  8     1            8            70.2           2           65.9 W     
-#>  9     1            9            78.3          11          147   L     
-#> 10     1           10            71             3          103.  L     
-#> # ... with 146 more rows
    # }
+#>    <int>        <int>           <dbl>       <int>          <dbl> <chr> 
+#>  1     1            1            97.8          12          160.  L     
+#>  2     1            2            65.9           8           70.2 L     
+#>  3     1            3           103.           10           71   W     
+#>  4     1            4           133.            7          106.  W     
+#>  5     1            5            82.4           6           99.3 L     
+#>  6     1            6            99.3           5           82.4 W     
+#>  7     1            7           106.            4          133.  L     
+#>  8     1            8            70.2           2           65.9 W     
+#>  9     1            9            78.3          11          147   L     
+#> 10     1           10            71             3          103.  L     
+#> # ... with 174 more rows
    # }
    @@ -251,6 +361,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/ff_scoring.html b/docs/dev/reference/ff_scoring.html index 68eb9675..b518de95 100644 --- a/docs/dev/reference/ff_scoring.html +++ b/docs/dev/reference/ff_scoring.html @@ -6,7 +6,7 @@ -Get League Scoring settings — ff_scoring • ffscrapr +Get League Scoring Settings — ff_scoring • ffscrapr @@ -44,13 +44,20 @@ + + + + + + - + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -150,8 +225,8 @@
    -

    Get League Scoring settings

    - Source: R/generics.R, R/mfl_scoring.R, R/sleeper_scoring.R +

    Get League Scoring Settings

    + Source: R/0_generics.R, R/espn_scoring.R, R/flea_scoring.R, and 2 more
    @@ -159,13 +234,19 @@

    Get League Scoring settings

    This function returns a dataframe with detailed scoring settings for each league - broken down by event, points, and (if available) position.

    - 
    ff_scoring(conn)
+    
    ff_scoring(conn)
+
+# S3 method for espn_conn
+ff_scoring(conn)
+
+# S3 method for flea_conn
+ff_scoring(conn)
 
 # S3 method for mfl_conn
-ff_scoring(conn)
+ff_scoring(conn)
 
 # S3 method for sleeper_conn
-ff_scoring(conn)
    
+ff_scoring(conn)

    Arguments

    @@ -183,6 +264,8 @@

    See a

    Examples

    # \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_scoring(ssb_conn)
-# }
+conn <- espn_connect(season = 2020, league_id = 899513)
+ff_scoring(conn)
+
    #> # A tibble: 627 x 4
+#>    pos   points stat_id stat_name                    
+#>    <chr>  <dbl>   <int> <chr>                        
+#>  1 QB         0     133 defensive400To449YardsAllowed
+#>  2 RB         0     133 defensive400To449YardsAllowed
+#>  3 WR         0     133 defensive400To449YardsAllowed
+#>  4 TE         0     133 defensive400To449YardsAllowed
+#>  5 K          0     133 defensive400To449YardsAllowed
+#>  6 P          0     133 defensive400To449YardsAllowed
+#>  7 DT         0     133 defensive400To449YardsAllowed
+#>  8 DE         0     133 defensive400To449YardsAllowed
+#>  9 LB         0     133 defensive400To449YardsAllowed
+#> 10 CB         0     133 defensive400To449YardsAllowed
+#> # ... with 617 more rows
    # }
 
 # \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = 522458773317046272, season = 2020)
-ff_scoring(jml_conn)
-
    #> # A tibble: 45 x 2
-#>    event          points
-#>    <chr>           <dbl>
-#>  1 pass_2pt          2  
-#>  2 pass_int         -2  
-#>  3 fgmiss            0  
-#>  4 rec_yd            0.1
-#>  5 xpmiss            0  
-#>  6 def_pr_td         0  
-#>  7 fgm_30_39         0  
-#>  8 blk_kick          2  
-#>  9 pts_allow_7_13    0  
-#> 10 ff                1  
-#> # ... with 35 more rows
    # }
+joe_conn <- ff_connect(platform = "fleaflicker", league_id = 312861, season = 2020)
+ff_scoring(joe_conn)
+
    #> # A tibble: 72 x 7
+#>    pos   event           abbrev points label  desc                      event_id
+#>    <chr> <chr>           <chr>   <dbl> <chr>  <chr>                        <int>
+#>  1 QB    Passing Yard    Yd       0.04 Passi~ 1 point for every 25 Pas~        3
+#>  2 RB    Passing Yard    Yd       0.04 Passi~ 1 point for every 25 Pas~        3
+#>  3 WR    Passing Yard    Yd       0.04 Passi~ 1 point for every 25 Pas~        3
+#>  4 TE    Passing Yard    Yd       0.04 Passi~ 1 point for every 25 Pas~        3
+#>  5 QB    Passing TD      TD       6    Passi~ 6 points for every Passi~        5
+#>  6 RB    Passing TD      TD       6    Passi~ 6 points for every Passi~        5
+#>  7 WR    Passing TD      TD       6    Passi~ 6 points for every Passi~        5
+#>  8 TE    Passing TD      TD       6    Passi~ 6 points for every Passi~        5
+#>  9 QB    2 Pt Conversio~ 2PC      2    Passi~ 2 points for every 2 Pt ~        4
+#> 10 RB    2 Pt Conversio~ 2PC      2    Passi~ 2 points for every 2 Pt ~        4
+#> # ... with 62 more rows
    # }
+
+# \donttest{
+ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
+ff_scoring(ssb_conn)
+
    #> # A tibble: 71 x 6
+#>    pos   points range  event short_desc       long_desc                         
+#>    <chr>  <dbl> <chr>  <chr> <chr>            <chr>                             
+#>  1 QB      6    0-10   #P    Number of Passi~ "This is the total number of Pass~
+#>  2 RB      6    0-10   #P    Number of Passi~ "This is the total number of Pass~
+#>  3 WR      6    0-10   #P    Number of Passi~ "This is the total number of Pass~
+#>  4 TE      6    0-10   #P    Number of Passi~ "This is the total number of Pass~
+#>  5 QB      0.04 -50-9~ PY    Passing Yards    "This is the total passing yardag~
+#>  6 RB      0.04 -50-9~ PY    Passing Yards    "This is the total passing yardag~
+#>  7 WR      0.04 -50-9~ PY    Passing Yards    "This is the total passing yardag~
+#>  8 TE      0.04 -50-9~ PY    Passing Yards    "This is the total passing yardag~
+#>  9 QB     -4    0-10   IN    Pass Intercepti~ "This is the number of pass inter~
+#> 10 RB     -4    0-10   IN    Pass Intercepti~ "This is the number of pass inter~
+#> # ... with 61 more rows
    # }
+
+# \donttest{
+jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+ff_scoring(jml_conn)
+
    #> # A tibble: 169 x 3
+#>    pos   event    points
+#>    <chr> <chr>     <dbl>
+#>  1 QB    pass_2pt      2
+#>  2 RB    pass_2pt      2
+#>  3 WR    pass_2pt      2
+#>  4 TE    pass_2pt      2
+#>  5 K     pass_2pt      2
+#>  6 QB    pass_int     -2
+#>  7 RB    pass_int     -2
+#>  8 WR    pass_int     -2
+#>  9 TE    pass_int     -2
+#> 10 K     pass_int     -2
+#> # ... with 159 more rows
    # }
    @@ -237,6 +369,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/ff_scoringhistory.html b/docs/dev/reference/ff_scoringhistory.html new file mode 100644 index 00000000..86a0b690 --- /dev/null +++ b/docs/dev/reference/ff_scoringhistory.html @@ -0,0 +1,391 @@ + + + + + + + + +Get League-Specific Scoring History — ff_scoringhistory • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Get League-Specific Scoring History

    + Source: R/0_generics.R, R/espn_scoringhistory.R, R/flea_scoringhistory.R, and 2 more + +
    + +
    +

    (Experimental!) This function reads your league's ff_scoring rules and maps them to nflfastr week-level data. +Not all of the scoring rules from your league may have nflfastr equivalents, but most of the common ones are available!

    +
    + + 
    ff_scoringhistory(conn, season, ...)
+
+# S3 method for espn_conn
+ff_scoringhistory(conn, season = 1999:2020, ...)
+
+# S3 method for flea_conn
+ff_scoringhistory(conn, season = 1999:2020, ...)
+
+# S3 method for mfl_conn
+ff_scoringhistory(conn, season = 1999:2020, ...)
+
+# S3 method for sleeper_conn
+ff_scoringhistory(conn, season = 1999:2020, ...)
    + +

    Arguments

    +
    + + + + + + + + + + + + + +
    conn

    a conn object created by ff_connect()

    season

    season a numeric vector of seasons (earliest available year is 1999)

    ...

    other arguments

    + +

    Value

    + +

    A tidy dataframe of weekly fantasy scoring data, one row per player per week

    +

    Methods (by class)

    + + +
      +

    • espn_conn: ESPN: returns scoring history in a flat table, one row per player per week.

      • +

    • flea_conn: Fleaflicker: returns scoring history in a flat table, one row per player per week.

      • +

    • mfl_conn: MFL: returns scoring history in a flat table, one row per player per week.

      • +

    • sleeper_conn: Sleeper: returns scoring history in a flat table, one row per player per week.

      • +
    +

    See also

    + +

    https://www.nflfastr.com/reference/load_player_stats.html

    + +

    Examples

    + 
    # \donttest{
+conn <- espn_connect(season = 2020, league_id = 899513)
+ff_scoringhistory(conn)
+
    #> # A tibble: 112,291 x 24
+#>    season  week gsis_id    sportradar_id espn_id player_name pos   team  points
+#>     <dbl> <int> <chr>      <chr>           <int> <chr>       <chr> <chr>  <dbl>
+#>  1   1999     1 00-0000003 NA                 NA A.al-Jabbar RB    MIA     13.2
+#>  2   1999     2 00-0000003 NA                 NA A.al-Jabbar RB    MIA      6.6
+#>  3   1999     4 00-0000003 NA                 NA A.al-Jabbar RB    MIA      0.2
+#>  4   1999     7 00-0000003 NA                 NA A.al-Jabbar RB    CLE      4.5
+#>  5   1999     8 00-0000003 NA                 NA A.al-Jabbar RB    CLE      3.9
+#>  6   1999     9 00-0000003 NA                 NA A.al-Jabbar RB    CLE      3  
+#>  7   1999    10 00-0000003 NA                 NA A.al-Jabbar RB    CLE      6.6
+#>  8   1999    11 00-0000003 NA                 NA A.al-Jabbar RB    CLE      2.3
+#>  9   1999    12 00-0000003 NA                 NA A.al-Jabbar RB    CLE      4.1
+#> 10   1999    13 00-0000003 NA                 NA A.al-Jabbar RB    CLE      5.5
+#> # ... with 112,281 more rows, and 15 more variables: passing_yards <dbl>,
+#> #   passing_tds <dbl>, interceptions <dbl>, sack_fumbles_lost <dbl>,
+#> #   passing_2pt_conversions <dbl>, rushing_yards <dbl>, rushing_tds <dbl>,
+#> #   rushing_fumbles_lost <dbl>, rushing_2pt_conversions <dbl>,
+#> #   receptions <dbl>, receiving_yards <dbl>, receiving_tds <dbl>,
+#> #   receiving_fumbles_lost <dbl>, receiving_2pt_conversions <dbl>,
+#> #   special_teams_tds <dbl>
    # }
+
+# \donttest{
+# conn <- fleaflicker_connect(2020, 312861)
+ff_scoringhistory(conn, season = 2020)
+
    #> # A tibble: 5,423 x 24
+#>    season  week gsis_id  sportradar_id    espn_id player_name pos   team  points
+#>     <dbl> <int> <chr>    <chr>              <int> <chr>       <chr> <chr>  <dbl>
+#>  1   2020     1 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     20.5 
+#>  2   2020     2 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB      8.68
+#>  3   2020     3 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     23.9 
+#>  4   2020     4 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     32.5 
+#>  5   2020     5 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     14.1 
+#>  6   2020     6 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     14.6 
+#>  7   2020     7 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     36.9 
+#>  8   2020     8 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     19.1 
+#>  9   2020     9 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB      2.36
+#> 10   2020    10 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     31.8 
+#> # ... with 5,413 more rows, and 15 more variables: passing_yards <dbl>,
+#> #   passing_tds <dbl>, interceptions <dbl>, sack_fumbles_lost <dbl>,
+#> #   passing_2pt_conversions <dbl>, rushing_yards <dbl>, rushing_tds <dbl>,
+#> #   rushing_fumbles_lost <dbl>, rushing_2pt_conversions <dbl>,
+#> #   receptions <dbl>, receiving_yards <dbl>, receiving_tds <dbl>,
+#> #   receiving_fumbles_lost <dbl>, receiving_2pt_conversions <dbl>,
+#> #   special_teams_tds <dbl>
    # }
+
+# \donttest{
+# ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
+# ff_scoringhistory(ssb_conn)
+# }
+
+# \donttest{
+#'
+# conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+# ff_scoringhistory(conn, season = 2020)
+# }
+
+
    +
    + + + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    + + + + + + + + + + + + diff --git a/docs/dev/reference/ff_standings.html b/docs/dev/reference/ff_standings.html index 1d45443f..dbaeaf1e 100644 --- a/docs/dev/reference/ff_standings.html +++ b/docs/dev/reference/ff_standings.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Get Standings

    - Source: R/generics.R, R/mfl_standings.R, R/sleeper_standings.R + Source: R/0_generics.R, R/espn_standings.R, R/flea_standings.R, and 2 more
    @@ -159,13 +234,19 @@

    Get Standings

    This function returns a tidy dataframe of season-long fantasy team stats, including H2H wins as well as points, potential points, and all-play.

    - 
    ff_standings(conn, ...)
+    
    ff_standings(conn, ...)
+
+# S3 method for espn_conn
+ff_standings(conn, ...)
+
+# S3 method for flea_conn
+ff_standings(conn, include_allplay = TRUE, include_potentialpoints = TRUE, ...)
 
 # S3 method for mfl_conn
-ff_standings(conn, ...)
+ff_standings(conn, ...)
 
 # S3 method for sleeper_conn
-ff_standings(conn, ...)
    
+ff_standings(conn, ...)

    Arguments

    @@ -178,6 +259,14 @@

    Arg

    + + + + + + + +
    ...

    arguments passed to other methods (currently none)
    include_allplay

    TRUE/FALSE - return all-play win pct calculation? defaults to TRUE

    include_potentialpoints

    TRUE/FALSE - return potential points calculation? defaults to TRUE.

    Value

    @@ -187,58 +276,85 @@

    Examples

    # \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_standings(ssb_conn)
-
    #> # A tibble: 14 x 20
-#>    franchise_id franchise_name h2h_wins h2h_losses h2h_ties h2h_winpct
-#>    <chr>        <chr>             <dbl>      <dbl>    <dbl>      <dbl>
-#>  1 0014         Team Luigi           10          0        0        1  
-#>  2 0009         Team Link             7          3        0        0.7
-#>  3 0011         Team Diddy Ko~        7          3        0        0.7
-#>  4 0006         Team King Ded~        6          4        0        0.6
-#>  5 0010         Team Yoshi            6          4        0        0.6
-#>  6 0008         Team Fox              6          4        0        0.6
-#>  7 0003         Team Captain ~        5          5        0        0.5
-#>  8 0007         Team Kirby            5          5        0        0.5
-#>  9 0012         Team Mewtwo           4          6        0        0.4
-#> 10 0005         Team Dr. Mario        4          6        0        0.4
-#> 11 0004         Team Ice Clim~        3          7        0        0.3
-#> 12 0002         Team Simon Be~        3          7        0        0.3
-#> 13 0001         Team Pikachu          3          7        0        0.3
-#> 14 0013         Team Ness             1          9        0        0.1
-#> # ... with 14 more variables: allplay_wins <dbl>, allplay_losses <dbl>,
-#> #   allplay_ties <dbl>, allplay_winpct <dbl>, points_for <dbl>,
-#> #   points_against <dbl>, max_points_against <dbl>, min_points_against <dbl>,
-#> #   potential_points <dbl>, victory_points <dbl>, offensive_points <dbl>,
-#> #   defensive_points <dbl>, power_rank <dbl>, power_rank_alt <dbl>
    # }
+espn_conn <- espn_connect(season = 2020, league_id = 899513)
+ff_standings(espn_conn)
+
    #> # A tibble: 10 x 12
+#>    franchise_id franchise_name          league_rank h2h_wins h2h_losses h2h_ties
+#>           <int> <chr>                         <int>    <int>      <int>    <int>
+#>  1            1 "The Early GGod"                  7        3          9        0
+#>  2            2 "Coom  Dumpster"                  3        7          5        0
+#>  3            3 "PAKI STANS"                      6        4          8        0
+#>  4            4 "I'm Also Sad "                   5        7          5        0
+#>  5            5 "The Juggernaut"                  1        9          3        0
+#>  6            6 "OBJ's Personal Porta ~           4        8          4        0
+#>  7            7 "Tony El Tigre"                   9        5          7        0
+#>  8            8 "Big Coomers"                     8        6          6        0
+#>  9            9 "RAFI CUNADO"                     2        7          5        0
+#> 10           10 "Austin \U0001f410Drew~          10        4          8        0
+#> # ... with 6 more variables: h2h_winpct <dbl>, points_for <dbl>,
+#> #   points_against <dbl>, allplay_wins <dbl>, allplay_losses <dbl>,
+#> #   allplay_winpct <dbl>
    # }
 
 # \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = 522458773317046272, season = 2020)
-ff_standings(jml_conn)
-
    #> # A tibble: 12 x 12
-#>    franchise_id franchise_name h2h_wins h2h_losses h2h_ties h2h_winpct
-#>           <int> <chr>             <dbl>      <dbl>    <dbl>      <dbl>
-#>  1            1 Fake News             6          4        0        0.6
-#>  2            2 KingGabe              0         10        0        0  
-#>  3            3 solarpool             7          3        0        0.7
-#>  4            4 The FANTom Me~        6          4        0        0.6
-#>  5            5 Barbarians            3          7        0        0.3
-#>  6            6 sox05syd              6          4        0        0.6
-#>  7            7 Flipadelphia05        7          3        0        0.7
-#>  8            8 Hocka Flocka          6          4        0        0.6
-#>  9            9 ZPMiller97            4          6        0        0.4
-#> 10           10 JMLarkin              1          9        0        0.1
-#> 11           11 Permian Panth~        7          3        0        0.7
-#> 12           12 jaydk                 7          3        0        0.7
-#> # ... with 6 more variables: points_for <dbl>, points_against <dbl>,
-#> #   potential_points <dbl>, allplay_wins <dbl>, allplay_losses <dbl>,
-#> #   allplay_winpct <dbl>
    # }
+conn <- fleaflicker_connect(season = 2020, league_id = 206154)
+x <- ff_standings(conn)
+# }
+
+# \donttest{
+ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
+ff_standings(ssb_conn)
+
    #> # A tibble: 14 x 20
+#>    franchise_id franchise_name     h2h_wins h2h_losses h2h_ties h2h_winpct
+#>    <chr>        <chr>                 <dbl>      <dbl>    <dbl>      <dbl>
+#>  1 0009         Team Link                10          3        0      0.769
+#>  2 0010         Team Yoshi                9          4        0      0.692
+#>  3 0014         Team Luigi               10          3        0      0.769
+#>  4 0003         Team Donkey Kong          6          7        0      0.462
+#>  5 0006         Team King Dedede          8          5        0      0.615
+#>  6 0011         Team Diddy Kong           8          5        0      0.615
+#>  7 0008         Team Bowser               7          6        0      0.538
+#>  8 0007         Team Kirby                7          6        0      0.538
+#>  9 0002         Team Simon Belmont        6          7        0      0.462
+#> 10 0004         Team Ice Climbers         5          8        0      0.385
+#> 11 0005         Team Dr. Mario            5          8        0      0.385
+#> 12 0013         Team Ness                 3         10        0      0.231
+#> 13 0012         Team Mewtwo               4          9        0      0.308
+#> 14 0001         Team Pikachu              3         10        0      0.231
+#> # ... with 14 more variables: allplay_wins <dbl>, allplay_losses <dbl>,
+#> #   allplay_ties <dbl>, allplay_winpct <dbl>, points_for <dbl>,
+#> #   points_against <dbl>, max_points_against <dbl>, min_points_against <dbl>,
+#> #   potential_points <dbl>, victory_points <dbl>, offensive_points <dbl>,
+#> #   defensive_points <dbl>, power_rank <dbl>, power_rank_alt <dbl>
    # }
+
+# \donttest{
+jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+ff_standings(jml_conn)
+
    #> # A tibble: 12 x 12
+#>    franchise_id franchise_name    h2h_wins h2h_losses h2h_ties h2h_winpct
+#>           <int> <chr>                <dbl>      <dbl>    <dbl>      <dbl>
+#>  1            1 Fake News                8          5        0     0.615 
+#>  2            2 KingGabe                 1         12        0     0.0769
+#>  3            3 solarpool                8          5        0     0.615 
+#>  4            4 The FANTom Menace        8          5        0     0.615 
+#>  5            5 Barbarians               6          7        0     0.462 
+#>  6            6 sox05syd                 8          5        0     0.615 
+#>  7            7 Flipadelphia05          10          3        0     0.769 
+#>  8            8 Hocka Flocka             7          6        0     0.538 
+#>  9            9 ZPMiller97               4          9        0     0.308 
+#> 10           10 JMLarkin                 1         12        0     0.0769
+#> 11           11 Permian Panthers         8          5        0     0.615 
+#> 12           12 jaydk                    9          4        0     0.692 
+#> # ... with 6 more variables: points_for <dbl>, points_against <dbl>,
+#> #   potential_points <dbl>, allplay_wins <dbl>, allplay_losses <dbl>,
+#> #   allplay_winpct <dbl>
    # }
    @@ -263,6 +379,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/ff_starter_positions.html b/docs/dev/reference/ff_starter_positions.html new file mode 100644 index 00000000..89bc4956 --- /dev/null +++ b/docs/dev/reference/ff_starter_positions.html @@ -0,0 +1,377 @@ + + + + + + + + +Get Starting Lineup Settings — ff_starter_positions • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Get Starting Lineup Settings

    + Source: R/0_generics.R, R/espn_starterpositions.R, R/flea_starterpositions.R, and 2 more + +
    + +
    +

    This function returns a tidy dataframe with positional lineup rules.

    +
    + + 
    ff_starter_positions(conn, ...)
+
+# S3 method for espn_conn
+ff_starter_positions(conn, ...)
+
+# S3 method for flea_conn
+ff_starter_positions(conn, ...)
+
+# S3 method for mfl_conn
+ff_starter_positions(conn, ...)
+
+# S3 method for sleeper_conn
+ff_starter_positions(conn, ...)
    + +

    Arguments

    + + + + + + + + + + +
    conn

    the list object created by ff_connect()

    ...

    other arguments (currently unused)

    + +

    Value

    + +

    A tidy dataframe of positional lineup rules, one row per position with minimum and maximum starters as well as total starter calculations.

    +

    Methods (by class)

    + + +
      +

    • espn_conn: ESPN: returns min/max starters for each main player position

      • +

    • flea_conn: Fleaflicker: returns minimum and maximum starters for each player position.

      • +

    • mfl_conn: MFL: returns minimum and maximum starters for each player position.

      • +

    • sleeper_conn: Sleeper: returns minimum and maximum starters for each player position.

      • +
    + +

    Examples

    + 
    # \donttest{
+conn <- espn_connect(season = 2020, league_id = 1178049)
+ff_starter_positions(conn)
+
    #> # A tibble: 6 x 7
+#>   pos     min   max offense_starters defense_starters kdst_starters
+#>   <chr> <int> <int>            <int>            <int>         <int>
+#> 1 QB        1     1                7                0             2
+#> 2 RB        2     4                7                0             2
+#> 3 WR        3     5                7                0             2
+#> 4 TE        1     3                7                0             2
+#> 5 DST       1     1                7                0             2
+#> 6 K         1     1                7                0             2
+#> # ... with 1 more variable: total_starters <int>
    # }
+
+# \donttest{
+conn <- fleaflicker_connect(season = 2020, league_id = 206154)
+ff_starter_positions(conn)
+
    #> # A tibble: 10 x 7
+#>    pos     min   max offense_starters defense_starters kdst_starters
+#>    <chr> <dbl> <dbl>            <dbl>            <dbl>         <dbl>
+#>  1 CB        2     4                7                8             1
+#>  2 EDR       0     4                7                8             1
+#>  3 IL        0     4                7                8             1
+#>  4 K         1     1                7                8             1
+#>  5 LB        2     4                7                8             1
+#>  6 QB        1     1                7                8             1
+#>  7 RB        2     3                7                8             1
+#>  8 S         2     4                7                8             1
+#>  9 TE        1     2                7                8             1
+#> 10 WR        2     3                7                8             1
+#> # ... with 1 more variable: total_starters <dbl>
    # }
+
+# \donttest{
+dlfidp_conn <- mfl_connect(2020, league_id = 33158)
+ff_starter_positions(conn = dlfidp_conn)
+
    #> # A tibble: 9 x 7
+#>   pos     min   max offense_starters defense_starters kdst_starters
+#>   <chr> <int> <int>            <dbl>            <dbl>         <int>
+#> 1 QB        1     1                8               10             0
+#> 2 RB        1     6                8               10             0
+#> 3 WR        1     6                8               10             0
+#> 4 TE        0     5                8               10             0
+#> 5 DT        1     3                8               10             0
+#> 6 DE        2     4                8               10             0
+#> 7 LB        2     4                8               10             0
+#> 8 CB        2     4                8               10             0
+#> 9 S         1     3                8               10             0
+#> # ... with 1 more variable: total_starters <int>
    # }
+
+# \donttest{
+jml_conn <- sleeper_connect(league_id = "652718526494253056", season = 2021)
+jml_starters <- ff_starter_positions(jml_conn)
+# }
+
+
    +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/ff_starters.html b/docs/dev/reference/ff_starters.html index 1e87cc18..7fc133a5 100644 --- a/docs/dev/reference/ff_starters.html +++ b/docs/dev/reference/ff_starters.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,7 +226,7 @@

    Get Starting Lineups

    - Source: R/generics.R, R/mfl_starters.R, R/sleeper_starters.R + Source: R/0_generics.R, R/espn_starters.R, R/flea_starters.R, and 2 more
    @@ -159,13 +234,19 @@

    Get Starting Lineups

    This function returns a tidy dataframe with one row for every starter (and bench) for every week and their scoring, if available.

    - 
    ff_starters(conn, ...)
+    
    ff_starters(conn, ...)
+
+# S3 method for espn_conn
+ff_starters(conn, weeks = 1:17, ...)
+
+# S3 method for flea_conn
+ff_starters(conn, week = 1:17, ...)
 
 # S3 method for mfl_conn
-ff_starters(conn, week = "all", season = NULL, ...)
+ff_starters(conn, week = 1:17, season = NULL, ...)
 
 # S3 method for sleeper_conn
-ff_starters(conn, week = 1:17, ...)
    
+ff_starters(conn, week = 1:17, ...)

    Arguments

    @@ -178,6 +259,10 @@

    Arg

    + + + + @@ -195,33 +280,59 @@

    Examples

    # \donttest{
-dlf_conn <- mfl_connect(2020, league_id = 37920)
-ff_starters(conn = dlf_conn, week = 1:2)
-
    #> # A tibble: 938 x 11
-#>    franchise_id franchise_name season  week starter_status should_start
-#>    <chr>        <chr>           <dbl> <int> <chr>                 <dbl>
-#>  1 0013         Advance Repti~   2020     1 starter                   1
-#>  2 0013         Advance Repti~   2020     1 starter                   1
-#>  3 0013         Advance Repti~   2020     1 starter                   1
-#>  4 0013         Advance Repti~   2020     1 starter                   1
-#>  5 0013         Advance Repti~   2020     1 starter                   1
-#>  6 0013         Advance Repti~   2020     1 starter                   1
-#>  7 0013         Advance Repti~   2020     1 starter                   1
-#>  8 0013         Advance Repti~   2020     1 starter                   1
-#>  9 0013         Advance Repti~   2020     1 starter                   1
-#> 10 0013         Advance Repti~   2020     1 nonstarter                0
-#> # ... with 928 more rows, and 5 more variables: player_score <dbl>,
-#> #   player_id <chr>, player_name <chr>, pos <chr>, team <chr>
    # }
+conn <- espn_connect(season = 2020, league_id = 1178049)
+ff_starters(conn, weeks = 1:3)
+
    #> # A tibble: 714 x 11
+#>     week franchise_id franchise_name    franchise_score lineup_slot player_score
+#>    <int>        <int> <chr>                       <dbl> <chr>              <dbl>
+#>  1     1            1 Rushin' Collusion             118 QB                  27.5
+#>  2     1            1 Rushin' Collusion             118 RB                   9.2
+#>  3     1            1 Rushin' Collusion             118 RB                   6.7
+#>  4     1            1 Rushin' Collusion             118 WR                  13.1
+#>  5     1            1 Rushin' Collusion             118 WR                   8.6
+#>  6     1            1 Rushin' Collusion             118 WR                  12.6
+#>  7     1            1 Rushin' Collusion             118 TE                  16.6
+#>  8     1            1 Rushin' Collusion             118 DST                  0  
+#>  9     1            1 Rushin' Collusion             118 K                    9  
+#> 10     1            1 Rushin' Collusion             118 BE                   4.8
+#> # ... with 704 more rows, and 5 more variables: player_id <int>,
+#> #   player_name <chr>, pos <chr>, team <chr>, eligible_lineup_slots <list>
    # }
 
 # \donttest{
-jml_conn <- sleeper_connect(league_id = 522458773317046272, season = 2020)
-jml_starters <- ff_starters(jml_conn)
+conn <- fleaflicker_connect(season = 2020, league_id = 206154)
+ff_starters(conn)
+# }
+
+# \donttest{
+dlf_conn <- mfl_connect(2020, league_id = 37920)
+ff_starters(conn = dlf_conn)
+
    #> # A tibble: 6,371 x 11
+#>    franchise_id franchise_name          season  week starter_status should_start
+#>    <chr>        <chr>                    <dbl> <int> <chr>                 <dbl>
+#>  1 0013         Advance Reptilian Sola~   2020     1 starter                   1
+#>  2 0013         Advance Reptilian Sola~   2020     1 starter                   1
+#>  3 0013         Advance Reptilian Sola~   2020     1 starter                   1
+#>  4 0013         Advance Reptilian Sola~   2020     1 starter                   1
+#>  5 0013         Advance Reptilian Sola~   2020     1 starter                   1
+#>  6 0013         Advance Reptilian Sola~   2020     1 starter                   1
+#>  7 0013         Advance Reptilian Sola~   2020     1 starter                   1
+#>  8 0013         Advance Reptilian Sola~   2020     1 starter                   1
+#>  9 0013         Advance Reptilian Sola~   2020     1 starter                   1
+#> 10 0013         Advance Reptilian Sola~   2020     1 nonstarter                0
+#> # ... with 6,361 more rows, and 5 more variables: player_score <dbl>,
+#> #   player_id <chr>, player_name <chr>, pos <chr>, team <chr>
    # }
+
+# \donttest{
+jml_conn <- sleeper_connect(league_id = "522458773317046272", season = 2020)
+jml_starters <- ff_starters(jml_conn)
 # }
    @@ -247,6 +358,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/ff_transactions.html b/docs/dev/reference/ff_transactions.html index 669757c5..71b4a176 100644 --- a/docs/dev/reference/ff_transactions.html +++ b/docs/dev/reference/ff_transactions.html @@ -44,6 +44,12 @@ + + + + + + @@ -51,7 +57,8 @@ - + + @@ -86,7 +93,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -94,7 +101,7 @@ + +
    + +
    + + @@ -152,7 +227,7 @@

    Get League Transactions

    - Source: R/generics.R, R/mfl_transactions.R, R/sleeper_transactions.R + Source: R/0_generics.R, R/espn_transactions.R, R/flea_transactions.R, and 2 more
    @@ -161,13 +236,19 @@

    Get League Transactions

    Each trade is represented twice, once per each team.

    - 
    ff_transactions(conn, ...)
+    
    ff_transactions(conn, ...)
+
+# S3 method for espn_conn
+ff_transactions(conn, limit = 1000, ...)
+
+# S3 method for flea_conn
+ff_transactions(conn, franchise_id = NULL, ...)
 
 # S3 method for mfl_conn
-ff_transactions(conn, custom_players = FALSE, ...)
+ff_transactions(conn, custom_players = deprecated(), ...)
 
 # S3 method for sleeper_conn
-ff_transactions(conn, week = 1:17, ...)
    
+ff_transactions(conn, week = 1:17, ...)

    Arguments

    ...

    other arguments (currently unused)
    weeks

    which weeks to calculate, a number or numeric vector

    week

    a numeric or one of YTD (year-to-date) or AVG (average to date)
    @@ -180,9 +261,17 @@

    Arg

    + + + + + + + + - + @@ -197,47 +286,67 @@

    Examples

    - 
    # \donttest{
-dlf_conn <- mfl_connect(2019, league_id = 37920)
-ff_transactions(dlf_conn)
-
    #> # A tibble: 1,146 x 12
-#>    timestamp           type  type_desc franchise_id franchise_name player_id
-#>    <dttm>              <chr> <chr>     <chr>        <chr>          <chr>    
-#>  1 2019-12-19 11:56:49 FREE~ added     0003         Electric Spid~ 13868    
-#>  2 2019-12-19 11:56:49 FREE~ dropped   0003         Electric Spid~ 13387    
-#>  3 2019-12-19 03:03:13 FREE~ added     0019         Advance Repti~ 12857    
-#>  4 2019-12-19 03:03:13 FREE~ dropped   0019         Advance Repti~ 11186    
-#>  5 2019-12-19 03:02:26 FREE~ added     0019         Advance Repti~ 13868    
-#>  6 2019-12-19 03:02:26 FREE~ dropped   0019         Advance Repti~ 14305    
-#>  7 2019-12-15 17:28:15 FREE~ added     0003         Electric Spid~ 12197    
-#>  8 2019-12-15 17:27:28 FREE~ dropped   0003         Electric Spid~ 12623    
-#>  9 2019-12-15 17:27:00 FREE~ added     0003         Electric Spid~ 13387    
-#> 10 2019-12-15 17:26:27 IR    deactiva~ 0003         Electric Spid~ 14138    
-#> # ... with 1,136 more rows, and 6 more variables: player_name <chr>, pos <chr>,
-#> #   team <chr>, bbid_spent <dbl>, trade_partner <chr>, comments <chr>
    # }
+    
    if (FALSE) {
+# Marked as don't run because this endpoint requires private authentication
+
+conn <- espn_connect(
+  season = 2020,
+  league_id = 1178049,
+  swid = Sys.getenv("TAN_SWID"),
+  espn_s2 = Sys.getenv("TAN_ESPN_S2")
+)
+ff_transactions(conn)
+}
+
+# \donttest{
+conn <- fleaflicker_connect(season = 2020, league_id = 312861)
+ff_transactions(conn)
+
    #> # A tibble: 283 x 12
+#>    timestamp           type     type_desc franchise_id franchise_name  player_id
+#>    <dttm>              <chr>    <chr>            <int> <chr>           <glue>   
+#>  1 2021-06-07 12:28:41 free_ag~ dropped        1581803 ZachFarni's Te~ 15662    
+#>  2 2021-06-07 11:55:56 free_ag~ dropped        1581719 Jmuthers's Team 11455    
+#>  3 2021-06-06 16:45:46 free_ag~ dropped        1581726 SCJaguars's Te~ 15814    
+#>  4 2021-06-04 13:00:05 free_ag~ dropped        1578553 Running Bear    15723    
+#>  5 2021-06-01 15:56:47 free_ag~ dropped        1581721 Mjenkyns2004's~ 11194    
+#>  6 2021-06-01 11:50:42 free_ag~ dropped        1581719 Jmuthers's Team 14774    
+#>  7 2021-06-01 11:50:33 free_ag~ dropped        1581719 Jmuthers's Team 14709    
+#>  8 2021-05-31 10:43:46 free_ag~ dropped        1578553 Running Bear    14714    
+#>  9 2021-05-31 10:43:30 free_ag~ dropped        1578553 Running Bear    11188    
+#> 10 2021-05-31 10:43:22 free_ag~ dropped        1578553 Running Bear    14749    
+#> # ... with 273 more rows, and 6 more variables: player_name <glue>, pos <chr>,
+#> #   team <chr>, trade_partner_id <int>, trade_partner_name <chr>,
+#> #   trade_id <int>
    # }
+
+# \donttest{
+dlf_conn <- mfl_connect(2019, league_id = 37920)
+ff_transactions(dlf_conn)
+
    #> # A tibble: 1,146 x 12
+#>    timestamp           type   type_desc franchise_id franchise_name    player_id
+#>    <dttm>              <chr>  <chr>     <chr>        <chr>             <chr>    
+#>  1 2019-12-19 11:56:49 FREE_~ added     0003         Electric Spiders  13868    
+#>  2 2019-12-19 11:56:49 FREE_~ dropped   0003         Electric Spiders  13387    
+#>  3 2019-12-19 03:03:13 FREE_~ added     0019         Advance Reptilia~ 12857    
+#>  4 2019-12-19 03:03:13 FREE_~ dropped   0019         Advance Reptilia~ 11186    
+#>  5 2019-12-19 03:02:26 FREE_~ added     0019         Advance Reptilia~ 13868    
+#>  6 2019-12-19 03:02:26 FREE_~ dropped   0019         Advance Reptilia~ 14305    
+#>  7 2019-12-15 17:28:15 FREE_~ added     0003         Electric Spiders  12197    
+#>  8 2019-12-15 17:27:28 FREE_~ dropped   0003         Electric Spiders  12623    
+#>  9 2019-12-15 17:27:00 FREE_~ added     0003         Electric Spiders  13387    
+#> 10 2019-12-15 17:26:27 IR     deactiva~ 0003         Electric Spiders  14138    
+#> # ... with 1,136 more rows, and 6 more variables: player_name <chr>, pos <chr>,
+#> #   team <chr>, bbid_spent <dbl>, trade_partner <chr>, comments <chr>
    # }
 # \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_transactions(jml_conn,week = 2:3)
-
    #> # A tibble: 109 x 12
-#>    timestamp           type  type_desc franchise_id franchise_name player_id
-#>    <dttm>              <chr> <chr>     <chr>        <chr>          <chr>    
-#>  1 2020-09-30 07:04:24 waiv~ added     1            Fake News      4992     
-#>  2 2020-09-30 07:04:24 waiv~ added     1            Fake News      4994     
-#>  3 2020-09-30 07:04:24 waiv~ added     1            Fake News      5113     
-#>  4 2020-09-30 07:04:24 waiv~ added     1            Fake News      5102     
-#>  5 2020-09-30 07:04:24 waiv~ added     7            Flipadelphia05 4994     
-#>  6 2020-09-30 07:04:24 waiv~ dropped   7            Flipadelphia05 7050     
-#>  7 2020-09-30 07:04:24 waiv~ added     7            Flipadelphia05 5285     
-#>  8 2020-09-30 07:04:24 waiv~ dropped   7            Flipadelphia05 7050     
-#>  9 2020-09-30 07:04:24 waiv~ added     4            The FANTom Me~ 5102     
-#> 10 2020-09-30 07:04:24 waiv~ added     3            solarpool      2390     
-#> # ... with 99 more rows, and 6 more variables: player_name <chr>, pos <chr>,
-#> #   team <chr>, bbid_amount <int>, trade_partner <chr>, comment <chr>
    # }
+jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
+x <- ff_transactions(jml_conn, week = 1:17)
+# }
 
 
    
   
    
@@ -262,6 +371,23 @@ 
    Contents
    
    
 
   
+
+
+
 
 
   
diff --git a/docs/dev/reference/ff_userleagues.html b/docs/dev/reference/ff_userleagues.html
index 548c680a..33029136 100644
--- a/docs/dev/reference/ff_userleagues.html
+++ b/docs/dev/reference/ff_userleagues.html
@@ -44,13 +44,20 @@
 
 
 
+
+
+
+
+
+
 
   
   
 
 
 
-
+
+
 
 
 
@@ -85,7 +92,7 @@
       
       
         ffscrapr
-        1.1.0.9001
+        1.4.2.06
       
     
 
@@ -93,7 +100,7 @@
       
       
       
+      
+        
    
+          
+        
    
+      
+      
     
   
 
@@ -151,7 +226,7 @@
   
    
     
    
     
    Get User Leagues
    
-    Source: R/generics.R, R/mfl_userleagues.R, R/sleeper_userleagues.R
+    Source: R/0_generics.R, R/espn_userleagues.R, R/flea_userleagues.R, and 2 more
     
     
    
 
@@ -159,13 +234,19 @@ 
    Get User Leagues
    
     
    This function returns a tidy dataframe with one row for every league a user is in. This requries authentication cookies for MFL usage.
    
     
    
 
-    
    ff_userleagues(conn, ...)
+    
    ff_userleagues(conn, ...)
+
+# S3 method for espn_conn
+ff_userleagues(conn = NULL, ...)
+
+# S3 method for flea_conn
+ff_userleagues(conn = NULL, user_email = NULL, season = NULL, ...)
 
 # S3 method for mfl_conn
-ff_userleagues(conn, season = NULL, ...)
+ff_userleagues(conn, season = NULL, ...)
 
 # S3 method for sleeper_conn
-ff_userleagues(conn = NULL, user_name = NULL, season = NULL, ...)
    
+ff_userleagues(conn = NULL, user_name = NULL, season = NULL, ...)
    
 
     
    Arguments
    ...

    additional args for other methods
    limit

    number of most recent transactions to return

    franchise_id

    fleaflicker returns transactions grouped by franchise id, pass a list here to filter

    custom_players

    TRUE or FALSE - fetch custom players

    [Deprecated] - now returns custom players by default
    week
    @@ -178,6 +259,10 @@

    Arg

    + + + + @@ -195,12 +280,15 @@

    See also

    -

    sleeper_userleagues to call this function for Sleeper leagues without first creating a connection object.

    +

    fleaflicker_userleagues() to call this function for flea leagues without first creating a connection object.

    +

    sleeper_userleagues() to call this function for Sleeper leagues without first creating a connection object.

    + + + diff --git a/docs/dev/reference/ffscrapr-package.html b/docs/dev/reference/ffscrapr-package.html new file mode 100644 index 00000000..03ba706f --- /dev/null +++ b/docs/dev/reference/ffscrapr-package.html @@ -0,0 +1,313 @@ + + + + + + + + +ffscrapr: API Client for Fantasy Football League Platforms — ffscrapr-package • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    ffscrapr: API Client for Fantasy Football League Platforms

    + Source: R/ffscrapr-package.R + +
    + +
    +

    Helps access various Fantasy Football APIs by handling + authentication and rate-limiting, forming appropriate calls, and + returning tidy dataframes which can be easily connected to other data + sources.

    +
    + + + +

    See also

    + +

    Useful links:

    + +
    +

    Author

    + +

    Maintainer: Tan Ho tan@tanho.ca

    +

    Other contributors:

    + + + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/figures/logo.svg b/docs/dev/reference/figures/logo.svg new file mode 100644 index 00000000..c25272b8 --- /dev/null +++ b/docs/dev/reference/figures/logo.svg @@ -0,0 +1,141 @@ + + + + + + + + image/svg+xml + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/dev/reference/fleaflicker_connect.html b/docs/dev/reference/fleaflicker_connect.html new file mode 100644 index 00000000..fcbe54c6 --- /dev/null +++ b/docs/dev/reference/fleaflicker_connect.html @@ -0,0 +1,333 @@ + + + + + + + + +Connect to Fleaflicker League — fleaflicker_connect • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Connect to Fleaflicker League

    + Source: R/flea_connect.R + +
    + +
    +

    This function creates a connection object which stores parameters and a user ID if available.

    +
    + + 
    fleaflicker_connect(
+  season = NULL,
+  league_id = NULL,
+  user_email = NULL,
+  user_agent = NULL,
+  rate_limit = TRUE,
+  rate_limit_number = NULL,
+  rate_limit_seconds = NULL,
+  ...
+)
    + +

    Arguments

    +
    ...

    arguments that may be passed to other methods (for method consistency)
    user_email

    the username to look up - defaults to user created in conn if available

    season

    the season to look up leagues for
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    season

    Season to access on Fleaflicker - if missing, will guess based on system date (current year if March or later, otherwise previous year)

    league_id

    League ID

    user_email

    Optional - attempts to get user's user ID by email

    user_agent

    User agent to self-identify (optional)

    rate_limit

    TRUE by default - turn off rate limiting with FALSE

    rate_limit_number

    number of calls per rate_limit_seconds, suggested is under 1000 calls per 60 seconds

    rate_limit_seconds

    number of seconds as denominator for rate_limit

    ...

    other arguments (for other methods, for R compat)

    + +

    Value

    + +

    a list that stores Fleaflicker connection objects

    + + + + + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    + + + + + + + + + + + + diff --git a/docs/dev/reference/fleaflicker_getendpoint.html b/docs/dev/reference/fleaflicker_getendpoint.html new file mode 100644 index 00000000..05f6cf41 --- /dev/null +++ b/docs/dev/reference/fleaflicker_getendpoint.html @@ -0,0 +1,307 @@ + + + + + + + + +GET any Fleaflicker endpoint — fleaflicker_getendpoint • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    GET any Fleaflicker endpoint

    + Source: R/flea_api.R + +
    + +
    +

    The endpoint names and HTTP parameters (i.e. argument names) are CASE SENSITIVE and should be passed in exactly as displayed on the Fleaflicker API reference page.

    +
    + + 
    fleaflicker_getendpoint(endpoint, ...)
    + +

    Arguments

    + + + + + + + + + + +
    endpoint

    a string defining which endpoint to return from the API

    ...

    Arguments which will be passed as "argumentname = argument" in an HTTP query parameter

    + +

    Value

    + +

    A list object containing the query, response, and parsed content.

    +

    Details

    + +

    Check out the vignette for more details and example usage.

    +

    See also

    + +

    https://www.fleaflicker.com/api-docs/index.html

    +

    vignette("fleaflicker_getendpoint")

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/fleaflicker_players.html b/docs/dev/reference/fleaflicker_players.html new file mode 100644 index 00000000..41ff44d5 --- /dev/null +++ b/docs/dev/reference/fleaflicker_players.html @@ -0,0 +1,309 @@ + + + + + + + + +Fleaflicker players library — fleaflicker_players • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Fleaflicker players library

    + Source: R/flea_players.R + +
    + +
    +

    A cached table of Fleaflicker NFL players. Will store in memory for each session! +(via memoise in zzz.R)

    +
    + + 
    fleaflicker_players(conn, page_limit = NULL)
    + +

    Arguments

    + + + + + + + + + + +
    conn

    a conn object created by ff_connect()

    page_limit

    A number limiting the number of players to return, or NULL (default) returns all

    + +

    Value

    + +

    a dataframe containing all ~7000+ players in the Fleaflicker database

    + +

    Examples

    + 
    # \donttest{
+conn <- fleaflicker_connect(2020, 312861)
+player_list <- fleaflicker_players(conn, page_limit = 2)
+# }
+
+
    +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/fleaflicker_userleagues.html b/docs/dev/reference/fleaflicker_userleagues.html new file mode 100644 index 00000000..55a6bdb1 --- /dev/null +++ b/docs/dev/reference/fleaflicker_userleagues.html @@ -0,0 +1,305 @@ + + + + + + + + +Fleaflicker - Get User Leagues — fleaflicker_userleagues • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Fleaflicker - Get User Leagues

    + Source: R/flea_userleagues.R + +
    + +
    +

    This function returns the leagues that a specific user is in. +This variant can be used without first creating a connection object.

    +
    + + 
    fleaflicker_userleagues(user_email, season = NULL)
    + +

    Arguments

    + + + + + + + + + + +
    user_email

    the username to look up

    season

    the season to return leagues from - defaults to current year based on heuristics

    + +

    Value

    + +

    a dataframe of leagues for the specified user

    +

    See also

    + +

    ff_userleagues()

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/index.html b/docs/dev/reference/index.html index b0791b73..9be74095 100644 --- a/docs/dev/reference/index.html +++ b/docs/dev/reference/index.html @@ -44,12 +44,19 @@ + + + + + + - + + @@ -84,7 +91,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -92,7 +99,7 @@ + + @@ -163,21 +238,12 @@

    Reference

    -

    ffscrapr reference

    -

    +

    Main

    +

    These are the primary functions of ffscrapr and are designed to work for all platforms.

    - - - - -

    FF

    -

    The main interface - these functions are designed to wrap the platform-specific methods to return generic input.

    - - - @@ -234,7 +300,13 @@

    F

    ff_scoring()

    -

    Get League Scoring settings

    +

    Get League Scoring Settings

    + + + +

    ff_scoringhistory()

    + +

    Get League-Specific Scoring History

    @@ -249,6 +321,12 @@

    F

    Get Starting Lineups

    + +

    ff_starter_positions()

    + +

    Get Starting Lineup Settings

    + +

    ff_transactions()

    @@ -261,14 +339,14 @@

    F

    Get User Leagues

    - -

    MFL

    +

    MFL

    Additional functions designed/optimized for the MFL platform.

    + @@ -292,14 +370,14 @@

    MFL players library

    - -

    Sleeper

    +

    Sleeper

    Additional functions designed/optimized for the Sleeper platform.

    + @@ -314,7 +392,7 @@

    sleeper_getendpoint()

    -

    GET any SLEEPER endpoint

    +

    GET any Sleeper endpoint

    @@ -328,20 +406,112 @@

    +

    Fleaflicker

    +

    Additional functions designed/optimized for the Fleaflicker platform.

    + + + + + + + + + + +

    fleaflicker_connect()

    + +

    Connect to Fleaflicker League

    + + + +

    fleaflicker_getendpoint()

    + +

    GET any Fleaflicker endpoint

    + + + +

    fleaflicker_players()

    + +

    Fleaflicker players library

    + + + +

    fleaflicker_userleagues()

    + +

    Fleaflicker - Get User Leagues

    + + + + +

    ESPN

    +

    Additional functions designed/optimized for the ESPN platform

    + + + + + + + + +

    espn_connect()

    + +

    Connect to ESPN League

    + + + +

    espn_getendpoint()

    + +

    GET ESPN fantasy league endpoint

    + + + +

    espn_getendpoint_raw()

    + +

    GET ESPN endpoint (raw)

    + + + +

    espn_players()

    + +

    ESPN players library

    + + + +

    espn_potentialpoints()

    + +

    ESPN Potential Points

    + + -

    DynastyProcess

    +

    DynastyProcess

    Functions to interface with DynastyProcess data

    + + +

    dp_cleannames()

    + +

    Clean Names

    + + + +

    dp_name_mapping

    + +

    Alternate name mappings

    + +

    dp_playerids()

    @@ -353,15 +523,46 @@

    +

    nflfastR

    +

    Functions to interface with nflfastR data

    + + + + + + + + +

    nflfastr_rosters()

    + +

    Import nflfastr roster data

    + + + +

    nflfastr_stat_mapping

    + +

    Mappings for nflfastr to fantasy platform scoring

    + + + +

    nflfastr_weekly()

    + +

    Import latest nflfastr weekly stats

    + + -

    Misc

    +

    Miscellaneous

    Additional helper functions

    + @@ -371,6 +572,12 @@

    <

    .ff_clear_cache()

    Empty Function Cache

    + + + +

    %>%

    + +

    Pipe operator

    @@ -397,6 +604,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/mfl_allrules.html b/docs/dev/reference/mfl_allrules.html new file mode 100644 index 00000000..07c6f635 --- /dev/null +++ b/docs/dev/reference/mfl_allrules.html @@ -0,0 +1,285 @@ + + + + + + + + +MFL rules library - memoised via zzz.R — mfl_allrules • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    MFL rules library - memoised via zzz.R

    + Source: R/mfl_scoring.R + +
    + +
    +

    MFL rules library - memoised via zzz.R

    +
    + + 
    mfl_allrules(conn)
    + + + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/mfl_connect.html b/docs/dev/reference/mfl_connect.html index e149d44c..ad2cb2e2 100644 --- a/docs/dev/reference/mfl_connect.html +++ b/docs/dev/reference/mfl_connect.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -159,18 +234,18 @@

    Connect to MFL League

    This function creates a connection object which stores parameters and gets a login-cookie if available

    - 
    mfl_connect(
-  season = NULL,
-  league_id = NULL,
-  APIKEY = NULL,
-  user_name = NULL,
-  password = NULL,
-  user_agent = NULL,
-  rate_limit = TRUE,
-  rate_limit_number = NULL,
-  rate_limit_seconds = NULL,
-  ...
-)
    + 
    mfl_connect(
+  season = NULL,
+  league_id = NULL,
+  APIKEY = NULL,
+  user_name = NULL,
+  password = NULL,
+  user_agent = NULL,
+  rate_limit = TRUE,
+  rate_limit_number = NULL,
+  rate_limit_seconds = NULL,
+  ...
+)

    Arguments

    @@ -220,12 +295,10 @@

    Arg

    Value

    a connection object to be used with ff_* functions

    -

    See also

    - -

    ff_connect, sleeper_connect

    Examples

    - 
    mfl_connect(season = 2020, league_id = 54040)
+    
    # \donttest{
+mfl_connect(season = 2020, league_id = 54040)
 
    #> <MFL connection 2020_54040>
 #> List of 5
 #>  $ platform   : chr "MFL"
@@ -233,7 +306,7 @@ 
    Examp
 #>  $ league_id  : chr "54040"
 #>  $ APIKEY     : NULL
 #>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
    mfl_connect(season = 2019, league_id = 54040, rate_limit = FALSE)
+#>  - attr(*, "class")= chr "mfl_conn"
    mfl_connect(season = 2019, league_id = 54040, rate_limit = FALSE)
 
    #> <MFL connection 2019_54040>
 #> List of 5
 #>  $ platform   : chr "MFL"
@@ -241,7 +314,8 @@ 
    Examp
 #>  $ league_id  : chr "54040"
 #>  $ APIKEY     : NULL
 #>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
    
+#>  - attr(*, "class")= chr "mfl_conn"
    # }
+
    + + + diff --git a/docs/dev/reference/mfl_getendpoint.html b/docs/dev/reference/mfl_getendpoint.html index 3c06a356..f81e0d5e 100644 --- a/docs/dev/reference/mfl_getendpoint.html +++ b/docs/dev/reference/mfl_getendpoint.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + +
    + +
    + + @@ -159,7 +234,7 @@

    GET any MFL endpoint

    Create a GET request to any MFL export endpoint.

    - 
    mfl_getendpoint(conn, endpoint, ...)
    + 
    mfl_getendpoint(conn, endpoint, ...)

    Arguments

    @@ -213,6 +288,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/mfl_players.html b/docs/dev/reference/mfl_players.html index 8d000f46..b8bf6972 100644 --- a/docs/dev/reference/mfl_players.html +++ b/docs/dev/reference/mfl_players.html @@ -44,6 +44,12 @@ + + + + + + @@ -51,7 +57,8 @@ - + + @@ -86,7 +93,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -94,7 +101,7 @@ + +
    + +
    + + @@ -161,7 +236,7 @@

    MFL players library

    (via memoise in zzz.R)

    - 
    mfl_players(conn = NULL)
    + 
    mfl_players(conn = NULL)

    Arguments

    @@ -178,21 +253,21 @@

    Value

    Examples

    # \donttest{
-player_list <- mfl_players()
-dplyr::sample_n(player_list, 5)
-
    #> # A tibble: 5 x 25
-#>   player_id player_name pos     age team  status draft_year draft_team
-#>   <chr>     <chr>       <chr> <dbl> <chr> <chr>  <chr>      <chr>     
-#> 1 12760     Worley, Da~ CB     25.7 BUF   NA     2016       CAR       
-#> 2 13256     Bowser, Ty~ LB     25.5 BAL   NA     2017       BAL       
-#> 3 15002     Coughlin, ~ LB     23.3 NYG   R      2020       NYG       
-#> 4 14275     Egbule, Em~ LB     24.1 LAC   NA     2019       LAC       
-#> 5 9763      Fewell, Pe~ Coach  NA   FA    NA     0          FA        
-#> # ... with 17 more variables: draft_round <chr>, draft_pick <chr>,
-#> #   stats_global_id <chr>, stats_id <chr>, fleaflicker_id <chr>, cbs_id <chr>,
-#> #   sportsdata_id <chr>, rotoworld_id <chr>, rotowire_id <chr>, nfl_id <chr>,
-#> #   espn_id <chr>, twitter_username <chr>, college <chr>, height <chr>,
-#> #   weight <chr>, jersey <chr>, birthdate <date>
    # }
+player_list <- mfl_players()
+dplyr::sample_n(player_list, 5)
+
    #> # A tibble: 5 x 25
+#>   player_id player_name        pos     age team  status draft_year draft_team
+#>   <chr>     <chr>              <chr> <dbl> <chr> <chr>  <chr>      <chr>     
+#> 1 13188     Howard, O.J.       TE     26.6 TBB   NA     2017       TBB       
+#> 2 13640     Callaway, Antonio  WR     24.4 KCC   NA     2018       CLE       
+#> 3 15392     St-Juste, Benjamin CB     23.8 WAS   R      2021       WAS       
+#> 4 14878     Gross-Matos, Yetur DE     23.3 CAR   NA     2020       CAR       
+#> 5 9940      Woods, Al          DT     34.2 SEA   NA     2010       NOS       
+#> # ... with 17 more variables: draft_round <chr>, draft_pick <chr>,
+#> #   stats_global_id <chr>, stats_id <chr>, cbs_id <chr>, fleaflicker_id <chr>,
+#> #   sportsdata_id <chr>, rotoworld_id <chr>, rotowire_id <chr>, nfl_id <chr>,
+#> #   espn_id <chr>, twitter_username <chr>, college <chr>, height <chr>,
+#> #   weight <chr>, birthdate <date>, jersey <chr>
    # }
    @@ -217,6 +292,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/nflfastr_rosters.html b/docs/dev/reference/nflfastr_rosters.html new file mode 100644 index 00000000..295675c8 --- /dev/null +++ b/docs/dev/reference/nflfastr_rosters.html @@ -0,0 +1,329 @@ + + + + + + + + +Import nflfastr roster data — nflfastr_rosters • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Import nflfastr roster data

    + Source: R/1_import_nflfastr.R + +
    + +
    +

    Fetches a copy of roster data from nflfastr's data repository. +The same input/output as nflfastr's fast_scraper_roster function.

    +
    + + 
    nflfastr_rosters(seasons)
    + +

    Arguments

    +
    + + + + + +
    seasons

    A numeric vector of seasons, earliest of which is 1999

    + +

    Value

    + +

    Data frame where each individual row represents a player in the roster of the given team and season

    +

    Details

    + +

    If you have any issues with the output of this data, please open an issue in +the nflfastr repository.

    +

    See also

    + +

    https://www.nflfastr.com/reference/fast_scraper_roster.html

    + +

    Examples

    + 
    # \donttest{
+nflfastr_rosters(seasons = 2019:2020)
+
    #> # A tibble: 7,735 x 24
+#>    season team  position depth_chart_positi~ jersey_number status full_name     
+#>     <dbl> <chr> <chr>    <chr>                       <int> <chr>  <chr>         
+#>  1   2019 ARI   C        NA                             60 CUT    Jacob Ohnesor~
+#>  2   2019 ARI   C        NA                             53 ACT    A.Q. Shipley  
+#>  3   2019 ARI   C        NA                             65 ACT    Lamont Gailla~
+#>  4   2019 ARI   CB       NA                             27 SUS    Josh Shaw     
+#>  5   2019 ARI   CB       NA                             30 ACT    Jalen Davis   
+#>  6   2019 ARI   CB       NA                             33 ACT    Byron Murphy  
+#>  7   2019 ARI   CB       NA                             22 CUT    Trevor Willia~
+#>  8   2019 ARI   CB       NA                             26 RES    Brandon Willi~
+#>  9   2019 ARI   CB       NA                             NA DEV    Sojourn Shelt~
+#> 10   2019 ARI   CB       NA                             28 CUT    Deatrick Nich~
+#> # ... with 7,725 more rows, and 17 more variables: first_name <chr>,
+#> #   last_name <chr>, birth_date <date>, height <chr>, weight <chr>,
+#> #   college <chr>, high_school <chr>, gsis_id <chr>, espn_id <int>,
+#> #   sportradar_id <chr>, yahoo_id <int>, rotowire_id <int>, pff_id <int>,
+#> #   headshot_url <glue>, fantasy_data_id <int>, sleeper_id <chr>,
+#> #   years_exp <int>
    # }
+
+
    + + + + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    + + + + + + + + + + + + diff --git a/docs/dev/reference/nflfastr_stat_mapping.html b/docs/dev/reference/nflfastr_stat_mapping.html new file mode 100644 index 00000000..a3637a79 --- /dev/null +++ b/docs/dev/reference/nflfastr_stat_mapping.html @@ -0,0 +1,294 @@ + + + + + + + + +Mappings for nflfastr to fantasy platform scoring — nflfastr_stat_mapping • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Mappings for nflfastr to fantasy platform scoring

    + Source: R/0_helpers.R + +
    + +
    +

    A small helper dataframe for connecting nflfastr to specific fantasy platform rules.

    +
    + + 
    nflfastr_stat_mapping
    + + +

    Format

    + +

    A data frame with ~85 rows and 3 variables:

    +
    nflfastr_event

    the column name of the statistic in the nflfastr_weekly dataset

    +
    platform

    specific platform that this mapping applies to

    +
    ff_event

    name of the statistic for that platform

    + +
    + + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/nflfastr_weekly.html b/docs/dev/reference/nflfastr_weekly.html new file mode 100644 index 00000000..0da536e0 --- /dev/null +++ b/docs/dev/reference/nflfastr_weekly.html @@ -0,0 +1,339 @@ + + + + + + + + +Import latest nflfastr weekly stats — nflfastr_weekly • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Import latest nflfastr weekly stats

    + Source: R/1_import_nflfastr.R + +
    + +
    +

    Fetches a copy of the latest week-level stats from nflfastr's data repository. +The same output as nflfastr's load_player_stats() function.

    +
    + + 
    nflfastr_weekly(type = c("offense", "defense", "all"))
    + +

    Arguments

    + + + + + + +
    type

    One of "offense", "defense", or "all" - currently, only "offense" is available.

    + +

    Value

    + +

    Weekly stats for all passers, rushers and receivers in the nflfastR play-by-play data from the 1999 season to the most recent season

    +

    Details

    + +

    The goal of this data is to replicate the NFL's official weekly stats, which +can diverge a bit from what fantasy data feeds display.

    +

    If you have any issues with the output of this data, please open an issue in +the nflfastr repository.

    +

    See also

    + +

    https://www.nflfastr.com/reference/load_player_stats.html

    + +

    Examples

    + 
    # \donttest{
+nflfastr_weekly()
+
    #> # A tibble: 112,757 x 42
+#>    player_id  player_name recent_team season  week completions attempts
+#>    <chr>      <chr>       <chr>        <int> <int>       <int>    <int>
+#>  1 00-0000003 A.al-Jabbar MIA           1999     1           0        0
+#>  2 00-0000003 A.al-Jabbar MIA           1999     2           0        0
+#>  3 00-0000003 A.al-Jabbar MIA           1999     4           0        0
+#>  4 00-0000003 A.al-Jabbar CLE           1999     7           0        0
+#>  5 00-0000003 A.al-Jabbar CLE           1999     8           0        0
+#>  6 00-0000003 A.al-Jabbar CLE           1999     9           0        0
+#>  7 00-0000003 A.al-Jabbar CLE           1999    10           0        0
+#>  8 00-0000003 A.al-Jabbar CLE           1999    11           0        0
+#>  9 00-0000003 A.al-Jabbar CLE           1999    12           0        0
+#> 10 00-0000003 A.al-Jabbar CLE           1999    13           0        0
+#> # ... with 112,747 more rows, and 35 more variables: passing_yards <dbl>,
+#> #   passing_tds <int>, interceptions <dbl>, sacks <dbl>, sack_yards <dbl>,
+#> #   sack_fumbles <int>, sack_fumbles_lost <int>, passing_air_yards <dbl>,
+#> #   passing_yards_after_catch <dbl>, passing_first_downs <dbl>,
+#> #   passing_epa <dbl>, passing_2pt_conversions <int>, dakota <dbl>,
+#> #   carries <int>, rushing_yards <dbl>, rushing_tds <int>,
+#> #   rushing_fumbles <dbl>, rushing_fumbles_lost <dbl>,
+#> #   rushing_first_downs <dbl>, rushing_epa <dbl>,
+#> #   rushing_2pt_conversions <int>, receptions <int>, targets <int>,
+#> #   receiving_yards <dbl>, receiving_tds <int>, receiving_fumbles <dbl>,
+#> #   receiving_fumbles_lost <dbl>, receiving_air_yards <dbl>,
+#> #   receiving_yards_after_catch <dbl>, receiving_first_downs <dbl>,
+#> #   receiving_epa <dbl>, receiving_2pt_conversions <int>,
+#> #   special_teams_tds <dbl>, fantasy_points <dbl>, fantasy_points_ppr <dbl>
    # }
+
+
    +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/parse_raw_rds.html b/docs/dev/reference/parse_raw_rds.html new file mode 100644 index 00000000..cf4ab7dd --- /dev/null +++ b/docs/dev/reference/parse_raw_rds.html @@ -0,0 +1,296 @@ + + + + + + + + +Parse Raw RDS — parse_raw_rds • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Parse Raw RDS

    + Source: R/1_import_nflfastr.R + +
    + +
    +

    Useful for parsing the raw-content of RDS files downloaded from nflfastr repo, c/o Seb.

    +
    + + 
    parse_raw_rds(raw)
    + +

    Arguments

    + + + + + + +
    raw

    raw-content that is known to be an RDS file

    + +

    See also

    + +

    httr::set_cookies

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/pipe.html b/docs/dev/reference/pipe.html index e8f458cf..11c8907e 100644 --- a/docs/dev/reference/pipe.html +++ b/docs/dev/reference/pipe.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -151,15 +226,14 @@

    Pipe operator

    - Source: R/utils.R + Source: R/0_utils.R
    -

    See magrittr::%>% for details.

    +

    See magrittr::%>% for details.

    - 
    lhs %>% rhs
    @@ -185,6 +259,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/release_bullets.html b/docs/dev/reference/release_bullets.html new file mode 100644 index 00000000..1b714fcd --- /dev/null +++ b/docs/dev/reference/release_bullets.html @@ -0,0 +1,285 @@ + + + + + + + + +Release questions — release_bullets • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Release questions

    + Source: R/0_helpers.R + +
    + +
    +

    Release questions

    +
    + + 
    release_bullets()
    + + + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/set_unescaped_cookies.html b/docs/dev/reference/set_unescaped_cookies.html new file mode 100644 index 00000000..980da570 --- /dev/null +++ b/docs/dev/reference/set_unescaped_cookies.html @@ -0,0 +1,296 @@ + + + + + + + + +Add unescaped cookies — set_unescaped_cookies • ffscrapr + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    Add unescaped cookies

    + Source: R/0_helpers.R + +
    + +
    +

    Useful for ESPN which is already URL escaped

    +
    + + 
    set_unescaped_cookies(...)
    + +

    Arguments

    + + + + + + +
    ...

    a named cookie values

    + +

    See also

    + +

    httr::set_cookies

    + +
    + +
    + + +
    +
    +

    Developed by Tan Ho.

    +
    + +
    +

    Site built with pkgdown 1.6.1.

    +
    + +
    +
    + + + + + + + + + + + diff --git a/docs/dev/reference/sleeper_connect.html b/docs/dev/reference/sleeper_connect.html index a8022fe3..120cda1b 100644 --- a/docs/dev/reference/sleeper_connect.html +++ b/docs/dev/reference/sleeper_connect.html @@ -44,13 +44,20 @@ + + + + + + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + + @@ -159,16 +234,16 @@

    Connect to Sleeper League

    This function creates a connection object which stores parameters and a user ID if available.

    - 
    sleeper_connect(
-  season = NULL,
-  league_id = NULL,
-  user_name = NULL,
-  user_agent = NULL,
-  rate_limit = TRUE,
-  rate_limit_number = NULL,
-  rate_limit_seconds = NULL,
-  ...
-)
    + 
    sleeper_connect(
+  season = NULL,
+  league_id = NULL,
+  user_name = NULL,
+  user_agent = NULL,
+  rate_limit = TRUE,
+  rate_limit_number = NULL,
+  rate_limit_seconds = NULL,
+  ...
+)

    Arguments

    @@ -233,6 +308,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/sleeper_getendpoint.html b/docs/dev/reference/sleeper_getendpoint.html index aa80b1cb..e5ca10f7 100644 --- a/docs/dev/reference/sleeper_getendpoint.html +++ b/docs/dev/reference/sleeper_getendpoint.html @@ -6,7 +6,7 @@ -GET any SLEEPER endpoint — sleeper_getendpoint • ffscrapr +GET any Sleeper endpoint — sleeper_getendpoint • ffscrapr @@ -44,13 +44,20 @@ + + + + + + - + - + + @@ -85,7 +92,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -93,7 +100,7 @@ + +
    + +
    + + @@ -150,7 +225,7 @@
    -

    GET any SLEEPER endpoint

    +

    GET any Sleeper endpoint

    Source: R/sleeper_api.R
    @@ -159,7 +234,7 @@

    GET any SLEEPER endpoint

    The endpoint names and HTTP parameters (i.e. argument names) are CASE SENSITIVE and should be passed in exactly as displayed on the Sleeper API reference page.

    - 
    sleeper_getendpoint(endpoint, ...)
    + 
    sleeper_getendpoint(endpoint, ...)

    Arguments

    @@ -170,7 +245,7 @@

    Arg

    - +
    ...

    All other arguments are passed in order as slash-separated components of the url

    Arguments which will be passed as "argumentname = argument" in an HTTP query parameter
    @@ -207,6 +282,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/sleeper_players.html b/docs/dev/reference/sleeper_players.html index f6ae7c31..fde93a67 100644 --- a/docs/dev/reference/sleeper_players.html +++ b/docs/dev/reference/sleeper_players.html @@ -44,6 +44,12 @@ + + + + + + @@ -51,7 +57,8 @@ - + + @@ -86,7 +93,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -94,7 +101,7 @@ + + @@ -161,7 +236,7 @@

    Sleeper players library

    (via memoise in zzz.R)

    - 
    sleeper_players()
    + 
    sleeper_players()

    Value

    @@ -170,7 +245,7 @@

    Value

    Examples

    # \donttest{
-player_list <- sleeper_players()
+player_list <- sleeper_players()
 # }
    @@ -196,6 +271,23 @@

    Contents

    + + + diff --git a/docs/dev/reference/sleeper_userleagues.html b/docs/dev/reference/sleeper_userleagues.html index 5bfa2e92..b733b958 100644 --- a/docs/dev/reference/sleeper_userleagues.html +++ b/docs/dev/reference/sleeper_userleagues.html @@ -44,6 +44,12 @@ + + + + + + @@ -51,7 +57,8 @@ - + + @@ -86,7 +93,7 @@ ffscrapr - 1.1.0.9001 + 1.4.2.06 @@ -94,7 +101,7 @@ + + @@ -161,7 +236,7 @@

    Sleeper - Get User Leagues

    This variant can be used without first creating a connection object.

    - 
    sleeper_userleagues(user_name, season = NULL)
    + 
    sleeper_userleagues(user_name, season = NULL)

    Arguments

    @@ -181,7 +256,7 @@

    Value

    a dataframe of leagues for the specified user

    See also

    -

    ff_userleagues

    +

    ff_userleagues()

    + + + diff --git a/docs/dev/sitemap.xml b/docs/dev/sitemap.xml index ec12ef8a..1cc2818f 100644 --- a/docs/dev/sitemap.xml +++ b/docs/dev/sitemap.xml @@ -3,6 +3,24 @@ ffscrapr.dynastyprocess.com/index.html + + ffscrapr.dynastyprocess.com/reference/dot-add_allplay.html + + + ffscrapr.dynastyprocess.com/reference/dot-espn_activity_map.html + + + ffscrapr.dynastyprocess.com/reference/dot-espn_lineupslot_map.html + + + ffscrapr.dynastyprocess.com/reference/dot-espn_pos_map.html + + + ffscrapr.dynastyprocess.com/reference/dot-espn_stat_map.html + + + ffscrapr.dynastyprocess.com/reference/dot-espn_team_map.html + ffscrapr.dynastyprocess.com/reference/dot-ff_clear_cache.html @@ -21,15 +39,48 @@ ffscrapr.dynastyprocess.com/reference/dot-mfl_logincookie.html + + ffscrapr.dynastyprocess.com/reference/dot-retry_get.html + + + ffscrapr.dynastyprocess.com/reference/dot-retry_post.html + + + ffscrapr.dynastyprocess.com/reference/dot-sleeper_matchup.html + ffscrapr.dynastyprocess.com/reference/dot-sleeper_userid.html + + ffscrapr.dynastyprocess.com/reference/dp_cleannames.html + + + ffscrapr.dynastyprocess.com/reference/dp_name_mapping.html + ffscrapr.dynastyprocess.com/reference/dp_playerids.html ffscrapr.dynastyprocess.com/reference/dp_values.html + + ffscrapr.dynastyprocess.com/reference/espn_connect.html + + + ffscrapr.dynastyprocess.com/reference/espn_getendpoint.html + + + ffscrapr.dynastyprocess.com/reference/espn_getendpoint_raw.html + + + ffscrapr.dynastyprocess.com/reference/espn_players.html + + + ffscrapr.dynastyprocess.com/reference/espn_potentialpoints.html + + + ffscrapr.dynastyprocess.com/reference/ffscrapr-package.html + ffscrapr.dynastyprocess.com/reference/ff_connect.html @@ -57,18 +108,39 @@ ffscrapr.dynastyprocess.com/reference/ff_scoring.html + + ffscrapr.dynastyprocess.com/reference/ff_scoringhistory.html + ffscrapr.dynastyprocess.com/reference/ff_standings.html ffscrapr.dynastyprocess.com/reference/ff_starters.html + + ffscrapr.dynastyprocess.com/reference/ff_starter_positions.html + ffscrapr.dynastyprocess.com/reference/ff_transactions.html ffscrapr.dynastyprocess.com/reference/ff_userleagues.html + + ffscrapr.dynastyprocess.com/reference/fleaflicker_connect.html + + + ffscrapr.dynastyprocess.com/reference/fleaflicker_getendpoint.html + + + ffscrapr.dynastyprocess.com/reference/fleaflicker_players.html + + + ffscrapr.dynastyprocess.com/reference/fleaflicker_userleagues.html + + + ffscrapr.dynastyprocess.com/reference/mfl_allrules.html + ffscrapr.dynastyprocess.com/reference/mfl_connect.html @@ -78,9 +150,27 @@ ffscrapr.dynastyprocess.com/reference/mfl_players.html + + ffscrapr.dynastyprocess.com/reference/nflfastr_rosters.html + + + ffscrapr.dynastyprocess.com/reference/nflfastr_stat_mapping.html + + + ffscrapr.dynastyprocess.com/reference/nflfastr_weekly.html + + + ffscrapr.dynastyprocess.com/reference/parse_raw_rds.html + ffscrapr.dynastyprocess.com/reference/pipe.html + + ffscrapr.dynastyprocess.com/reference/release_bullets.html + + + ffscrapr.dynastyprocess.com/reference/set_unescaped_cookies.html + ffscrapr.dynastyprocess.com/reference/sleeper_connect.html @@ -93,9 +183,27 @@ ffscrapr.dynastyprocess.com/reference/sleeper_userleagues.html + + ffscrapr.dynastyprocess.com/articles/espn_authentication.html + + + ffscrapr.dynastyprocess.com/articles/espn_basics.html + + + ffscrapr.dynastyprocess.com/articles/espn_getendpoint.html + ffscrapr.dynastyprocess.com/articles/ffscrapr_caching.html + + ffscrapr.dynastyprocess.com/articles/ffscrapr_scoringhistory.html + + + ffscrapr.dynastyprocess.com/articles/fleaflicker_basics.html + + + ffscrapr.dynastyprocess.com/articles/fleaflicker_getendpoint.html + ffscrapr.dynastyprocess.com/articles/mfl_basics.html diff --git a/man/pipe.Rd b/man/pipe.Rd index c9c04db0..d17bdf8b 100644 --- a/man/pipe.Rd +++ b/man/pipe.Rd @@ -4,5 +4,5 @@ \alias{\%>\%} \title{Pipe operator} \description{ -See \verb{magrittr::[\\\%>\\\%][magrittr::pipe]} for details. +See \href{https://magrittr.tidyverse.org/reference/pipe.html}{\verb{magrittr::\%>\%}} for details. } diff --git a/pkgdown/_pkgdown.yml b/pkgdown/_pkgdown.yml index 38fdfd11..8f0f5a18 100644 --- a/pkgdown/_pkgdown.yml +++ b/pkgdown/_pkgdown.yml @@ -33,6 +33,7 @@ reference: desc: Additional helper functions contents: - starts_with(".ff") + - "`%>%`" home: title: ffscrapr • an R package for Fantasy Football APIs @@ -44,7 +45,7 @@ home: navbar: structure: - left: [home, reference, news, articles] + left: [home, reference, articles, news] right: [discord, github, more] components: discord: @@ -54,23 +55,22 @@ navbar: text: "More" menu: - text: ffverse - menu: - - text: ffsimulator - href: https://ffsimulator.dynastyprocess.com - - text: GitHub - href: https://www.github.com/ffverse - - text: R-Universe - href: https://ffverse.r-universe.dev + - text: ffsimulator package + href: https://ffsimulator.dynastyprocess.com + - text: ffverse GitHub + href: https://www.github.com/ffverse + - text: ------ - text: "nflverse" - menu: - - text: nflfastR - href: https://www.nflfastr.com - - text: GitHub - href: https://github.com/nflverse - - text: R-Universe - href: https://nflverse.r-universe.dev + - text: nflfastR package + href: https://www.nflfastr.com + - text: nflverse GitHub + href: https://github.com/nflverse + - text: ------ + - text: "DynastyProcess" - text: "DynastyProcess.com" href: https://dynastyprocess.com + - text: DynastyProcess GitHub + href: https://github.com/dynastyprocess articles: - title: Getting Started diff --git a/pkgdown/extra.css b/pkgdown/extra.css index 64a2ddc2..1433b08c 100644 --- a/pkgdown/extra.css +++ b/pkgdown/extra.css @@ -23,3 +23,7 @@ pre, code { font-weight: 700; font-family: 'Fira Mono', sans-serif; } + +h4.author,h4.date { + padding-top:0px; + margin-top:0px;} diff --git a/vignettes/espn_authentication.Rmd b/vignettes/espn_authentication.Rmd index 7755ce1f..7a89d91f 100644 --- a/vignettes/espn_authentication.Rmd +++ b/vignettes/espn_authentication.Rmd @@ -1,8 +1,10 @@ --- title: "ESPN: Private Leagues" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{espn_authentication} + %\VignetteIndexEntry{ESPN: Private Leagues} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- diff --git a/vignettes/espn_basics.Rmd b/vignettes/espn_basics.Rmd index e38ba0a7..b9ac2b8e 100644 --- a/vignettes/espn_basics.Rmd +++ b/vignettes/espn_basics.Rmd @@ -1,8 +1,10 @@ --- title: "ESPN: Basics" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{espn_basics} + %\VignetteIndexEntry{ESPN: Basics} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- diff --git a/vignettes/espn_getendpoint.Rmd b/vignettes/espn_getendpoint.Rmd index febca384..e6e2683d 100644 --- a/vignettes/espn_getendpoint.Rmd +++ b/vignettes/espn_getendpoint.Rmd @@ -1,8 +1,10 @@ --- title: "ESPN: Get Endpoint" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{espn_getendpoint} + %\VignetteIndexEntry{ESPN: Get Endpoint} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- diff --git a/vignettes/ffscrapr_caching.Rmd b/vignettes/ffscrapr_caching.Rmd index 2e6ca6e3..d3c6ec96 100644 --- a/vignettes/ffscrapr_caching.Rmd +++ b/vignettes/ffscrapr_caching.Rmd @@ -1,9 +1,10 @@ --- -title: "Managing ffscrapr's Cache" -author: "Tan Ho" +title: "ffscrapr: Managing Cache" +author: Tan Ho +date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > - %\VignetteIndexEntry{ffscrapr_caching} + %\VignetteIndexEntry{ffscrapr: Managing Cache} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- diff --git a/vignettes/ffscrapr_scoringhistory.Rmd b/vignettes/ffscrapr_scoringhistory.Rmd index 61bd300b..5a416bff 100644 --- a/vignettes/ffscrapr_scoringhistory.Rmd +++ b/vignettes/ffscrapr_scoringhistory.Rmd @@ -1,46 +1,26 @@ --- -title: "ffscrapr: Player Scoring History" +title: "ffscrapr: ff_scoringhistory Limitations" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{ff_scoringhistory} + %\VignetteIndexEntry{ffscrapr: ff_scoringhistory Limitations} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- -```{r, include = FALSE} -knitr::opts_chunk$set( - collapse = TRUE, - comment = "#>" -) - -options(dplyr.summarise.inform = FALSE, - rmarkdown.html_vignette.check_title = FALSE) - -eval <- TRUE - -tryCatch(expr = { - - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") - unzip('f.zip', exdir = ".") - - httptest::.mockPaths(new = "ffscrapr-tests-main")}, - warning = function(e) eval <<- FALSE, - error = function(e) eval <<- FALSE) - -httptest::use_mock_api() -``` - ## Limitations of ff_scoringhistory For all sites: + - Official NFL lateral scoring may be different than MFL scoring - Special team TDs are not broken down into punt returns, kick returns, and FG returns in nflfastR `load_player_stats` so the kick return scoring was applied to all special team TDs - No support for IDPs, team defenses, kickers, coaches, fumbles, return yards, offensive fumble recoveries - Support for eccentric rules (bonuses for long plays, conditional rules) will be added on a request basis For Fleaflicker: -- Does Fleaflicker allow for ranged scoring rules like MFL? +- Does Fleaflicker allow for ranged scoring rules like MFL? (assume no) For Sleeper: -- Does Sleeper allow for ranged scoring rules like MFL? -- Does Sleeper allow for positional scoring rules? +- Does Sleeper allow for ranged scoring rules like MFL? (assume no) +- Does Sleeper allow for positional scoring rules? (assume no) diff --git a/vignettes/fleaflicker_basics.Rmd b/vignettes/fleaflicker_basics.Rmd index 67c019d9..6ce096c8 100644 --- a/vignettes/fleaflicker_basics.Rmd +++ b/vignettes/fleaflicker_basics.Rmd @@ -1,8 +1,10 @@ --- title: "Fleaflicker: Basics" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{fleaflicker_basics} + %\VignetteIndexEntry{Fleaflicker: Basics} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- diff --git a/vignettes/fleaflicker_getendpoint.Rmd b/vignettes/fleaflicker_getendpoint.Rmd index 7a7a4e46..dcaad922 100644 --- a/vignettes/fleaflicker_getendpoint.Rmd +++ b/vignettes/fleaflicker_getendpoint.Rmd @@ -1,8 +1,10 @@ --- title: "Fleaflicker: Get Endpoint" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{fleaflicker_getendpoint} + %\VignetteIndexEntry{Fleaflicker: Get Endpoint} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- diff --git a/vignettes/mfl_basics.Rmd b/vignettes/mfl_basics.Rmd index 7b024613..0b8a93b7 100644 --- a/vignettes/mfl_basics.Rmd +++ b/vignettes/mfl_basics.Rmd @@ -1,8 +1,10 @@ --- title: "MFL: Basics" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{mfl_basics} + %\VignetteIndexEntry{MFL: Basics} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- diff --git a/vignettes/mfl_getendpoint.Rmd b/vignettes/mfl_getendpoint.Rmd index e3ff61f5..bf107eb0 100644 --- a/vignettes/mfl_getendpoint.Rmd +++ b/vignettes/mfl_getendpoint.Rmd @@ -1,8 +1,10 @@ --- title: "MFL: Get Endpoint" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{mfl_getendpoint} + %\VignetteIndexEntry{MFL: Get Endpoint} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- diff --git a/vignettes/sleeper_basics.Rmd b/vignettes/sleeper_basics.Rmd index 375876a6..5fcbdafe 100644 --- a/vignettes/sleeper_basics.Rmd +++ b/vignettes/sleeper_basics.Rmd @@ -1,8 +1,10 @@ --- title: "Sleeper: Basics" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{sleeper_basics} + %\VignetteIndexEntry{Sleeper: Basics} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- diff --git a/vignettes/sleeper_getendpoint.Rmd b/vignettes/sleeper_getendpoint.Rmd index 1ea4504a..ec8b0c67 100644 --- a/vignettes/sleeper_getendpoint.Rmd +++ b/vignettes/sleeper_getendpoint.Rmd @@ -1,8 +1,10 @@ --- title: "Sleeper: Get Endpoint" output: rmarkdown::html_vignette +author: Tan Ho +date: "`r Sys.Date()`" vignette: > - %\VignetteIndexEntry{sleeper_getendpoint} + %\VignetteIndexEntry{Sleeper: Get Endpoint} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- From 8d4ad19fe9f36dd21fd84e6f2944cc943ffbc155 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 12 Jun 2021 08:39:21 -0400 Subject: [PATCH 23/31] update pkgdown --- 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3f860ed2..e246d05b 100644 --- a/LICENSE +++ b/LICENSE @@ -1,2 +1,2 @@ -YEAR: 2020 +YEAR: 2021 COPYRIGHT HOLDER: Tan Ho diff --git a/LICENSE.md b/LICENSE.md index 6c94d2fa..a7c0a9e5 100644 --- a/LICENSE.md +++ b/LICENSE.md @@ -1,6 +1,6 @@ # MIT License -Copyright (c) 2020 Tan Ho +Copyright (c) 2021 Tan Ho Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal diff --git a/README.Rmd b/README.Rmd index 245d0171..a241fd02 100644 --- a/README.Rmd +++ b/README.Rmd @@ -97,6 +97,13 @@ Platform-specific guides on getting started with ffscrapr are here: There are also some more advanced guides for custom API calls in the [Articles section](https://ffscrapr.dynastyprocess.com/articles/), as well as some guides on [optimizing ffscrapr's performance](https://ffscrapr.dynastyprocess.com/articles/ffscrapr_caching.html). +### Support + +The best places to get help on this package are: + +- the [nflverse discord](https://discord.com/invite/5Er2FBnnQa) (for both this package as well as anything R/NFL related) +- opening [an issue](https://github.com/DynastyProcess/ffscrapr/issues/new/choose) + ### Contributing Many hands make light work! Here are some ways you can contribute to this project: diff --git a/README.md b/README.md index 6541e4ed..c9e92726 100644 --- a/README.md +++ b/README.md @@ -119,6 +119,15 @@ There are also some more advanced guides for custom API calls in the well as some guides on [optimizing ffscrapr’s performance](https://ffscrapr.dynastyprocess.com/articles/ffscrapr_caching.html). +### Support + +The best places to get help on this package are: + +- the [nflverse discord](https://discord.com/invite/5Er2FBnnQa) (for + both this package as well as anything R/NFL related) +- opening [an + issue](https://github.com/DynastyProcess/ffscrapr/issues/new/choose) + ### Contributing Many hands make light work! 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zmaDDusEh9{YcOZ9o0u0*4QGRw*}64Y-ZV@8&rT%cvyJy_3Wy*!R`oZOatEuMieAIT z)lP^oP9r4KX|e@GYy$TxLB>75a73Qmw(0O+iSTo_eact`n6oMprf(N^$vwGw$avh zVV3R@0zn~xUOs-F0%1`>o&r8WVHh&9$h^62M%rK-aq&-P-96}eOEQEIgEWSLRfzRG zjt#*opof)jyMz#`u@>ka8T{DZ)6UyY(~UKHY%EQ-!pRc0t)q|$KS74pH`S}qaf|;C D3SuIk diff --git a/docs/articles/index.html b/docs/articles/index.html deleted file mode 100644 index 36d68257..00000000 --- a/docs/articles/index.html +++ /dev/null @@ -1,177 +0,0 @@ - - - - - - - - -Articles • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    All vignettes

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    Developed by Tan Ho.

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    mfl_basics

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    Tan Ho

    - - - Source: vignettes/mfl_basics.Rmd - - -
    - - - -

    Here’s what a basic dynasty league analysis might look like on MFL!

    -
    suppressPackageStartupMessages({
-  library(ffscrapr)
-  library(dplyr)
-  library(tidyr)
-})
    -

    Set up the connection to the league:

    -
    ssb <- mfl_connect(season = 2020, league_id = 54040, rate_limit_number = 3, rate_limit_seconds = 6)
-ssb
-#> <MFL connection 2020_54040>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2020
-#>  $ league_id  : chr "54040"
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
    -

    Cool! Let’s have a deeper look at what this league is like.

    -
    -ssb_summary <- ff_league(ssb)
-
-str(ssb_summary)
-#> tibble [1 x 13] (S3: tbl_df/tbl/data.frame)
-#>  $ league_id      : chr "54040"
-#>  $ league_name    : chr "The Super Smash Bros Dynasty League"
-#>  $ franchise_count: num 14
-#>  $ qb_type        : chr "1QB"
-#>  $ idp            : logi FALSE
-#>  $ scoring_flags  : chr "0.5_ppr, TEPrem, PP1D"
-#>  $ best_ball      : logi TRUE
-#>  $ salary_cap     : logi FALSE
-#>  $ player_copies  : num 1
-#>  $ years_active   : chr "2018-2020"
-#>  $ qb_count       : chr "1"
-#>  $ roster_size    : num 35
-#>  $ league_depth   : num 490
    -

    Okay, so it’s the Smash Bros Dynasty League, it’s a 1QB league with 14 teams, best ball scoring, half ppr and point-per-first-down settings.

    -

    Let’s grab the rosters now.

    -
    ssb_rosters <- ff_rosters(ssb)
-
-head(ssb_rosters)
-#> # A tibble: 6 x 11
-#>   franchise_id franchise_name player_id player_name pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   13129     Fournette,~ RB    JAC    25.5
-#> 2 0001         Team Pikachu   13189     Engram, Ev~ TE    NYG    25.9
-#> 3 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    27.7
-#> 4 0001         Team Pikachu   13290     Cohen, Tar~ RB    CHI    25  
-#> 5 0001         Team Pikachu   13155     Ross, John  WR    CIN    24.7
-#> 6 0001         Team Pikachu   13158     Westbrook,~ WR    JAC    26.7
-#> # ... with 4 more variables: roster_status <chr>, drafted <chr>,
-#> #   draft_year <chr>, draft_round <chr>
    -
    -

    -Values

    -

    Cool! Let’s pull in some additional context by adding DynastyProcess player values.

    -
    -player_values <- dp_values("values-players.csv")
-
-# The values are stored by fantasypros ID since that's where the data comes from. 
-# To join it to our rosters, we'll need playerID mappings.
-
-player_ids <- dp_playerids() %>%
-  select(mfl_id,fantasypros_id)
-
-player_values <- player_values %>%
-  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>%
-  select(mfl_id,ecr_1qb,ecr_pos,value_1qb)
-
-# Drilling down to just 1QB values and IDs, we'll be joining it onto rosters and don't need the extra stuff
-
-ssb_values <- ssb_rosters %>%
-  left_join(player_values, by = c("player_id"="mfl_id")) %>%
-  arrange(franchise_id,desc(value_1qb))
-
-head(ssb_values)
-#> # A tibble: 6 x 14
-#>   franchise_id franchise_name player_id player_name pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   14803     Edwards-He~ RB    KCC    21.3
-#> 2 0001         Team Pikachu   13129     Fournette,~ RB    JAC    25.5
-#> 3 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    27.7
-#> 4 0001         Team Pikachu   13189     Engram, Ev~ TE    NYG    25.9
-#> 5 0001         Team Pikachu   14777     Burrow, Joe QB    CIN    23.6
-#> 6 0001         Team Pikachu   14838     Shenault, ~ WR    JAC    21.8
-#> # ... with 7 more variables: roster_status <chr>, drafted <chr>,
-#> #   draft_year <chr>, draft_round <chr>, ecr_1qb <dbl>, ecr_pos <dbl>,
-#> #   value_1qb <int>
    -

    Let’s do some team summaries now!

    -
    -value_summary <- ssb_values %>%
-  group_by(franchise_id,franchise_name,pos) %>%
-  summarise(total_value = sum(value_1qb,na.rm = TRUE)) %>%
-  ungroup() %>%
-  group_by(franchise_id,franchise_name) %>%
-  mutate(team_value = sum(total_value)) %>%
-  ungroup() %>%
-  pivot_wider(names_from = pos, values_from = total_value) %>%
-  arrange(desc(team_value))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
-
-value_summary
-#> # A tibble: 14 x 7
-#>    franchise_id franchise_name      team_value    QB    RB    TE    WR
-#>    <chr>        <chr>                    <int> <int> <int> <int> <int>
-#>  1 0004         Team Ice Climbers        42795   570 19867  2037 20321
-#>  2 0009         Team Link                39268  2777 11193  2207 23091
-#>  3 0006         Team King Dedede         36999  5991  7793  1745 21470
-#>  4 0007         Team Kirby               35053  3170 23983  2662  5238
-#>  5 0014         Team Luigi               34775  2102   432   932 31309
-#>  6 0010         Team Yoshi               33876  1861  7523  6342 18150
-#>  7 0003         Team Captain Falcon      33800  2090 10154  6440 15116
-#>  8 0011         Team Diddy Kong          27650  1856 13312  1424 11058
-#>  9 0012         Team Mewtwo              27597   987 16856  1290  8464
-#> 10 0002         Team Simon Belmont       27128   401 10262    86 16379
-#> 11 0008         Team Fox                 24074  7436 10139   430  6069
-#> 12 0005         Team Dr. Mario           22195    13  1365  3449 17368
-#> 13 0013         Team Ness                20099   475 15728  1443  2453
-#> 14 0001         Team Pikachu             19297  1280 11156  2334  4527
    -

    So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages.

    -
    value_summary_pct <- value_summary %>%
-  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>%
-  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
-
-value_summary_pct
-#> # A tibble: 14 x 7
-#>    franchise_id franchise_name      team_value    QB    RB    TE    WR
-#>    <chr>        <chr>                    <dbl> <dbl> <dbl> <dbl> <dbl>
-#>  1 0004         Team Ice Climbers        0.101 0.018 0.124 0.062 0.101
-#>  2 0009         Team Link                0.092 0.09  0.07  0.067 0.115
-#>  3 0006         Team King Dedede         0.087 0.193 0.049 0.053 0.107
-#>  4 0007         Team Kirby               0.083 0.102 0.15  0.081 0.026
-#>  5 0014         Team Luigi               0.082 0.068 0.003 0.028 0.156
-#>  6 0010         Team Yoshi               0.08  0.06  0.047 0.193 0.09 
-#>  7 0003         Team Captain Falcon      0.08  0.067 0.064 0.196 0.075
-#>  8 0011         Team Diddy Kong          0.065 0.06  0.083 0.043 0.055
-#>  9 0012         Team Mewtwo              0.065 0.032 0.106 0.039 0.042
-#> 10 0002         Team Simon Belmont       0.064 0.013 0.064 0.003 0.081
-#> 11 0008         Team Fox                 0.057 0.24  0.063 0.013 0.03 
-#> 12 0005         Team Dr. Mario           0.052 0     0.009 0.105 0.086
-#> 13 0013         Team Ness                0.047 0.015 0.098 0.044 0.012
-#> 14 0001         Team Pikachu             0.045 0.041 0.07  0.071 0.023
    -

    Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

    -
    -
    -

    -Age

    -

    Another question you might ask: what is the average age of any given team?

    -

    I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team!

    -
    -age_summary <- ssb_values %>%
-  group_by(franchise_id,pos) %>%
-  mutate(position_value = sum(value_1qb,na.rm=TRUE)) %>%
-  ungroup() %>%
-  mutate(weighted_age = age*value_1qb/position_value) %>%
-  group_by(franchise_id,franchise_name,pos) %>%
-  summarise(count = n(),
-            age = sum(weighted_age,na.rm = TRUE)) %>%
-  pivot_wider(names_from = pos,
-              values_from = c(age,count))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
-
-age_summary
-#> # A tibble: 14 x 10
-#> # Groups:   franchise_id, franchise_name [14]
-#>    franchise_id franchise_name age_QB age_RB age_TE age_WR count_QB count_RB
-#>    <chr>        <chr>           <dbl>  <dbl>  <dbl>  <dbl>    <int>    <int>
-#>  1 0001         Team Pikachu     24.3   22.9   25.9   26.3        6        6
-#>  2 0002         Team Simon Be~   33.9   24.0   24.1   24.2        7       10
-#>  3 0003         Team Captain ~   24.7   23.7   30.1   26.4        6       11
-#>  4 0004         Team Ice Clim~   27.5   24.6   26.1   27.9        5        7
-#>  5 0005         Team Dr. Mario   37.7   19.2   23.9   24.4        3        7
-#>  6 0006         Team King Ded~   24.8   25.4   25.8   24.8        3       10
-#>  7 0007         Team Kirby       23.9   24.1   29.4   26.1        3       11
-#>  8 0008         Team Fox         24.8   26.1   26.0   26.8        3       11
-#>  9 0009         Team Link        25.8   25.8   27.1   27.4        2        9
-#> 10 0010         Team Yoshi       28.9   21.4   26.8   24.2        4        4
-#> 11 0011         Team Diddy Ko~   30.7   25.4   23.7   25.5        2       13
-#> 12 0012         Team Mewtwo      29.2   24.1   24.4   23.6        4        6
-#> 13 0013         Team Ness        30.6   23.1   22.9   26.0        5        9
-#> 14 0014         Team Luigi       32.0   28.2   27.3   26.5        5        9
-#> # ... with 2 more variables: count_TE <int>, count_WR <int>
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    mfl_getendpoint

    -

    Tan Ho

    - - - Source: vignettes/mfl_getendpoint.Rmd - - -
    - - - -
    -

    -Creating your own custom MFL API calls

    -
    library(ffscrapr)
    -

    The MFL API is extensive, and I haven’t written out a function for every single one of the endpoints. If there is something you’d like to access, you can use the lower-level “mfl_getendpoint” function to create a GET request and access the data, while still using the authentication and rate-limiting features I’ve already created.

    -

    Here is an example of how you can call one of the endpoints - in this case, let’s try searching for SFBX leagues through the leagueSearch endpoint.

    -

    We’ll start by opening up this page, https://api.myfantasyleague.com/2020/api_info?STATE=test&CCAT=export&TYPE=leagueSearch, which is the “test” page for this particular endpoint. From here, we can see that the only parameter required is “SEARCH”.

    -

    We need a connection object to pass into the mfl_getendpoint function, although in this example we don’t need to give it much since the endpoint doesn’t need a leagueID or username/password or APIKEY.

    -
    conn <- mfl_connect(season = 2020)
-
-conn
-#> <MFL connection 2020_>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2020
-#>  $ league_id  : chr(0) 
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
    -

    The parameters of the mfl_getendpoint function are conn, endpoint, and any other optional parameters required by the API.

    -

    The function will automatically insert the league_id, API key, and/or authentication cookies from the connection object, and will request JSON for you - so you do not need to add any of these parameters.

    -

    It is safest to assume that everything is case-sensitive: the endpoint must match the case displayed by MFL (“leagueSearch”) and the SEARCH argument name must be provided in upper-case.

    -
    sfb_search <- mfl_getendpoint(conn,endpoint = "leagueSearch", SEARCH = "sfbx conference")
    -

    The function returns a list with the query that was sent, the response that was received, and the content that was parsed - this helps you debug the result of the function later, by inspecting the query that was sent and the response that was received.

    -

    I like to extract the content with purrr::pluck and then convert it into a tibble and unnest the content from there, but you can use base R subsetting or magrittr::extract2 for the same purpose.

    -
    -search_results <- sfb_search %>%
-  purrr::pluck("content","leagues","league") %>%
-  tibble::tibble() %>%
-  tidyr::unnest_wider(1)
-
-head(search_results)
-#> # A tibble: 6 x 3
-#>   homeURL                                          name                id   
-#>   <chr>                                            <chr>               <chr>
-#> 1 http://www73.myfantasyleague.com/2020/home/13411 #SFBX Conference 12 13411
-#> 2 http://www73.myfantasyleague.com/2020/home/16428 #SFBX Conference 6  16428
-#> 3 http://www73.myfantasyleague.com/2020/home/17910 #SFBX Conference 11 17910
-#> 4 http://www73.myfantasyleague.com/2020/home/26453 #SFBX Conference 8  26453
-#> 5 http://www73.myfantasyleague.com/2020/home/27495 #SFBX Conference 2  27495
-#> 6 http://www73.myfantasyleague.com/2020/home/31492 #SFBX Conference 14 31492
    -
    -

    -Another Example: Trade Bait

    -

    Here’s another example, this time with the trade bait endpoint: https://api.myfantasyleague.com/2020/api_info?STATE=test&CCAT=export&TYPE=tradeBait

    -
    -fog <- mfl_connect(season = 2019, league_id = 12608)
-
-fog_tradebait <- mfl_getendpoint(fog, "tradeBait", INCLUDE_DRAFT_PICKS = 1) %>%
-  purrr::pluck("content","tradeBaits","tradeBait") %>%
-  tibble::tibble() %>%
-  tidyr::unnest_wider(1) %>%
-  tidyr::separate_rows("willGiveUp",sep = ",") %>%
-  dplyr::mutate(timestamp = lubridate::as_datetime(as.numeric(timestamp))) %>%
-  dplyr::left_join(
-    ff_franchises(fog) %>% dplyr::select("franchise_id","franchise_name"),
-    by = c("franchise_id")
-  ) %>%
-  dplyr::left_join(
-    mfl_players() %>% dplyr::select("player_id","player_name","pos","age","team"),
-    by = c("willGiveUp" = "player_id")
-  )
-
-head(fog_tradebait)
-#> # A tibble: 6 x 9
-#>   timestamp           franchise_id willGiveUp inExchangeFor franchise_name
-#>   <dttm>              <chr>        <chr>      <chr>         <chr>         
-#> 1 2019-11-23 14:49:15 0001         7394       "anyone need~ @JohnBoschFF  
-#> 2 2019-11-23 14:49:15 0001         13128      "anyone need~ @JohnBoschFF  
-#> 3 2020-02-01 05:43:29 0003         13319      ""            The Accountant
-#> 4 2020-02-01 05:43:29 0003         13139      ""            The Accountant
-#> 5 2020-02-01 05:43:29 0003         11675      ""            The Accountant
-#> 6 2020-02-01 15:49:25 0004         12171      ""            Kevin Cutillo 
-#> # ... with 4 more variables: player_name <chr>, pos <chr>, age <dbl>,
-#> #   team <chr>
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      -Code of Conduct

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      Please note that the usethis project is released with a Contributor Code of Conduct. By contributing to this project you agree to abide by its terms.

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      These contribution guidelines were inspired by the guidelines from {usethis}

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      MIT License

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      Copyright (c) 2020 Tan Ho

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      Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

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      Getting Started: MFL Basics

      -

      Tan Ho

      - - - Source: vignettes/a1_mfl_basics.Rmd - - -
      - - - -

      In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on MFL.

      -

      We’ll start by loading the packages:

      -
      -  library(ffscrapr)
-#> memorycache
-  library(dplyr)
-#> 
-#> Attaching package: 'dplyr'
-#> The following objects are masked from 'package:stats':
-#> 
-#>     filter, lag
-#> The following objects are masked from 'package:base':
-#> 
-#>     intersect, setdiff, setequal, union
-  library(tidyr)
-
      -

      Set up the connection to the league:

      -
      -ssb <- mfl_connect(season = 2020, 
-                   league_id = 54040, # from the URL of your league
-                   rate_limit_number = 3, 
-                   rate_limit_seconds = 6)
-ssb
-#> <MFL connection 2020_54040>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2020
-#>  $ league_id  : chr "54040"
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
-
      -

      I’ve done this with the mfl_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions are prefixed with “ff_”.

      -

      Cool! Let’s have a quick look at what this league is like.

      -
      -
-ssb_summary <- ff_league(ssb)
-
-str(ssb_summary)
-#> tibble [1 x 13] (S3: tbl_df/tbl/data.frame)
-#>  $ league_id      : chr "54040"
-#>  $ league_name    : chr "The Super Smash Bros Dynasty League"
-#>  $ franchise_count: num 14
-#>  $ qb_type        : chr "1QB"
-#>  $ idp            : logi FALSE
-#>  $ scoring_flags  : chr "0.5_ppr, TEPrem, PP1D"
-#>  $ best_ball      : logi TRUE
-#>  $ salary_cap     : logi FALSE
-#>  $ player_copies  : num 1
-#>  $ years_active   : chr "2018-2020"
-#>  $ qb_count       : chr "1"
-#>  $ roster_size    : num 28
-#>  $ league_depth   : num 392
-
      -

      Okay, so it’s the Smash Bros Dynasty League, it’s a 1QB league with 14 teams, best ball scoring, half ppr and point-per-first-down settings.

      -

      Let’s grab the rosters now.

      -
      -ssb_rosters <- ff_rosters(ssb)
-
-head(ssb_rosters)
-#> # A tibble: 6 x 11
-#>   franchise_id franchise_name player_id player_name pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   13189     Engram, Ev~ TE    NYG    26.2
-#> 2 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    28  
-#> 3 0001         Team Pikachu   14085     Pollard, T~ RB    DAL    23.6
-#> 4 0001         Team Pikachu   13645     Smith, Tre~ WR    NOS    24.9
-#> 5 0001         Team Pikachu   12110     Brate, Cam~ TE    TBB    29.4
-#> 6 0001         Team Pikachu   13168     Reynolds, ~ WR    LAR    25.8
-#> # ... with 4 more variables: roster_status <chr>, drafted <chr>,
-#> #   draft_year <chr>, draft_round <chr>
-
      -
      -

      -Values

      -

      Cool! Let’s pull in some additional context by adding DynastyProcess player values.

      -
      -
-player_values <- dp_values("values-players.csv")
-
-# The values are stored by fantasypros ID since that's where the data comes from. 
-# To join it to our rosters, we'll need playerID mappings.
-
-player_ids <- dp_playerids() %>% 
-  select(mfl_id,fantasypros_id)
-
-player_values <- player_values %>% 
-  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
-  select(mfl_id,ecr_1qb,ecr_pos,value_1qb)
-
-# Drilling down to just 1QB values and IDs, we'll be joining it onto rosters and don't need the extra stuff
-
-ssb_values <- ssb_rosters %>% 
-  left_join(player_values, by = c("player_id"="mfl_id")) %>% 
-  arrange(franchise_id,desc(value_1qb))
-
-head(ssb_values)
-#> # A tibble: 6 x 14
-#>   franchise_id franchise_name player_id player_name pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   14803     Edwards-He~ RB    KCC    21.6
-#> 2 0001         Team Pikachu   14835     Higgins, T~ WR    CIN    21.8
-#> 3 0001         Team Pikachu   14777     Burrow, Joe QB    CIN    23.9
-#> 4 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    28  
-#> 5 0001         Team Pikachu   14838     Shenault, ~ WR    JAC    22.1
-#> 6 0001         Team Pikachu   14779     Herbert, J~ QB    LAC    22.7
-#> # ... with 7 more variables: roster_status <chr>, drafted <chr>,
-#> #   draft_year <chr>, draft_round <chr>, ecr_1qb <dbl>, ecr_pos <dbl>,
-#> #   value_1qb <int>
-
      -

      Let’s do some team summaries now!

      -
      -
-value_summary <- ssb_values %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(total_value = sum(value_1qb,na.rm = TRUE)) %>%
-  ungroup() %>% 
-  group_by(franchise_id,franchise_name) %>% 
-  mutate(team_value = sum(total_value)) %>% 
-  ungroup() %>% 
-  pivot_wider(names_from = pos, values_from = total_value) %>% 
-  arrange(desc(team_value))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
-
-value_summary
-#> # A tibble: 14 x 7
-#>    franchise_id franchise_name      team_value    QB    RB    TE    WR
-#>    <chr>        <chr>                    <int> <int> <int> <int> <int>
-#>  1 0004         Team Ice Climbers        41671   583 20414  2586 18088
-#>  2 0006         Team King Dedede         38280  5972  5244  1556 25508
-#>  3 0009         Team Link                38244  2696  9503  4338 21707
-#>  4 0010         Team Yoshi               35176  2802  8720  6715 16939
-#>  5 0007         Team Kirby               34387  4111 15331   794 14151
-#>  6 0003         Team Captain Falcon      33427  1872  9091  5836 16628
-#>  7 0011         Team Diddy Kong          29432  1468 13640  2362 11962
-#>  8 0002         Team Simon Belmont       29264   389 10102    51 18722
-#>  9 0014         Team Luigi               28548  3588  5388  1167 18405
-#> 10 0005         Team Dr. Mario           26642    60  4055  3480 19047
-#> 11 0012         Team Mewtwo              25765   805 16638  1644  6678
-#> 12 0001         Team Pikachu             20597  2918  8584  1498  7597
-#> 13 0008         Team Fox                 20450  6458  7634   259  6099
-#> 14 0013         Team Ness                19976   881 14487  2033  2575
-
      -

      So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages.

      -
      -value_summary_pct <- value_summary %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
-
-value_summary_pct
-#> # A tibble: 14 x 7
-#>    franchise_id franchise_name      team_value    QB    RB    TE    WR
-#>    <chr>        <chr>                    <dbl> <dbl> <dbl> <dbl> <dbl>
-#>  1 0004         Team Ice Climbers        0.099 0.017 0.137 0.075 0.089
-#>  2 0006         Team King Dedede         0.091 0.173 0.035 0.045 0.125
-#>  3 0009         Team Link                0.091 0.078 0.064 0.126 0.106
-#>  4 0010         Team Yoshi               0.083 0.081 0.059 0.196 0.083
-#>  5 0007         Team Kirby               0.082 0.119 0.103 0.023 0.069
-#>  6 0003         Team Captain Falcon      0.079 0.054 0.061 0.17  0.081
-#>  7 0011         Team Diddy Kong          0.07  0.042 0.092 0.069 0.059
-#>  8 0002         Team Simon Belmont       0.069 0.011 0.068 0.001 0.092
-#>  9 0014         Team Luigi               0.068 0.104 0.036 0.034 0.09 
-#> 10 0005         Team Dr. Mario           0.063 0.002 0.027 0.101 0.093
-#> 11 0012         Team Mewtwo              0.061 0.023 0.112 0.048 0.033
-#> 12 0001         Team Pikachu             0.049 0.084 0.058 0.044 0.037
-#> 13 0008         Team Fox                 0.048 0.187 0.051 0.008 0.03 
-#> 14 0013         Team Ness                0.047 0.025 0.097 0.059 0.013
-
      -

      Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

      -
      -
      -

      -Age

      -

      Another question you might ask: what is the average age of any given team?

      -

      I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team!

      -
      -
-age_summary <- ssb_values %>% 
-  group_by(franchise_id,pos) %>% 
-  mutate(position_value = sum(value_1qb,na.rm=TRUE)) %>% 
-  ungroup() %>% 
-  mutate(weighted_age = age*value_1qb/position_value) %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(count = n(),
-            age = sum(weighted_age,na.rm = TRUE)) %>% 
-  pivot_wider(names_from = pos,
-              values_from = c(age,count))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
-
-age_summary
-#> # A tibble: 14 x 10
-#> # Groups:   franchise_id, franchise_name [14]
-#>    franchise_id franchise_name age_QB age_RB age_TE age_WR count_QB count_RB
-#>    <chr>        <chr>           <dbl>  <dbl>  <dbl>  <dbl>    <int>    <int>
-#>  1 0001         Team Pikachu     23.4   22.0   26.0   23.9        3        6
-#>  2 0002         Team Simon Be~   32.6   24.7   24.4   24.1        8       11
-#>  3 0003         Team Captain ~   24.6   23.4   30.7   26.5        5        9
-#>  4 0004         Team Ice Clim~   28.1   24.9   26.0   27.5        5        9
-#>  5 0005         Team Dr. Mario   29.2   23.1   24.3   24.3        2        7
-#>  6 0006         Team King Ded~   25.4   25.5   25.8   24.8        3        9
-#>  7 0007         Team Kirby       24.2   24.4   29.2   27.5        4        9
-#>  8 0008         Team Fox         25.5   26.4   33.5   27.8        4       10
-#>  9 0009         Team Link        25.8   26.0   26.8   27.7        4       10
-#> 10 0010         Team Yoshi       28.4   21.9   27.3   24.7        3        7
-#> 11 0011         Team Diddy Ko~   31.3   26.1   24.2   24.0        4       11
-#> 12 0012         Team Mewtwo      28.8   24.0   24.4   24.2        5        7
-#> 13 0013         Team Ness        31.4   23.3   23.1   26.0        4       10
-#> 14 0014         Team Luigi       32.3   24.6   25.8   26.4        2        9
-#> # ... with 2 more variables: count_TE <int>, count_WR <int>
-
      -
      -
      -

      -Next steps

      -

      In this vignette, I’ve used three functions: ff_connect, ff_league, and ff_rosters. Now that you’ve gotten this far, why not check out some of the other possibilities?

      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - - diff --git a/docs/dev/articles/a1_mfl_basics_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/a1_mfl_basics_files/accessible-code-block-0.0.1/empty-anchor.js deleted file mode 100644 index ca349fd6..00000000 --- a/docs/dev/articles/a1_mfl_basics_files/accessible-code-block-0.0.1/empty-anchor.js +++ /dev/null @@ -1,15 +0,0 @@ -// Hide empty tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) --> -// v0.0.1 -// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020. - -document.addEventListener('DOMContentLoaded', function() { - const codeList = document.getElementsByClassName("sourceCode"); - for (var i = 0; i < codeList.length; i++) { - var linkList = codeList[i].getElementsByTagName('a'); - for (var j = 0; j < linkList.length; j++) { - if (linkList[j].innerHTML === "") { - linkList[j].setAttribute('aria-hidden', 'true'); - } - } - } -}); diff --git a/docs/dev/articles/a1_mfl_basics_files/header-attrs-2.3/header-attrs.js b/docs/dev/articles/a1_mfl_basics_files/header-attrs-2.3/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/a1_mfl_basics_files/header-attrs-2.3/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/a2_sleeper_basics.html b/docs/dev/articles/a2_sleeper_basics.html deleted file mode 100644 index a54774ee..00000000 --- a/docs/dev/articles/a2_sleeper_basics.html +++ /dev/null @@ -1,374 +0,0 @@ - - - - - - - -Getting Started: Sleeper Basics • ffscrapr - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      Getting Started: Sleeper Basics

      - - - Source: vignettes/a2_sleeper_basics.Rmd - - -
      - - - -

      In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on Sleeper.

      -

      We’ll start by loading the packages:

      -
      -  library(ffscrapr)
-#> memorycache
-  library(dplyr)
-#> 
-#> Attaching package: 'dplyr'
-#> The following objects are masked from 'package:stats':
-#> 
-#>     filter, lag
-#> The following objects are masked from 'package:base':
-#> 
-#>     intersect, setdiff, setequal, union
-  library(tidyr)
-
      -

      In Sleeper, unlike in other platforms, it’s very unlikely that you’ll remember the league ID - both because most people use the mobile app, and because it happens to be an 18 digit number! It’s a little more natural to start analyses from the username, so let’s start there!

      -
      -
-solarpool_leagues <- sleeper_userleagues("solarpool",2020)
-
-head(solarpool_leagues)
-#> # A tibble: 3 x 4
-#>   league_name                   league_id        franchise_name franchise_id    
-#>   <chr>                         <chr>            <chr>          <chr>           
-#> 1 z_dynastyprocess-test         633501761776197~ solarpool      202892038360801~
-#> 2 The JanMichaelLarkin Dynasty~ 522458773317046~ solarpool      202892038360801~
-#> 3 DLP Dynasty League            521379020332068~ DLP::thoriyan  202892038360801~
-
      -

      Let’s pull the JML league ID from here for analysis, and set up a Sleeper connection object.

      -
      -jml_id <- solarpool_leagues %>% 
-  filter(league_name == "The JanMichaelLarkin Dynasty League") %>% 
-  pull(league_id)
-
-jml_id # For quick analyses, I'm not above copy-pasting the league ID instead!
-#> [1] "522458773317046272"
-
-jml <- sleeper_connect(season = 2020, league_id = jml_id)
-
-jml
-#> <Sleeper connection 2020_522458773317046272>
-#> List of 5
-#>  $ platform : chr "Sleeper"
-#>  $ season   : num 2020
-#>  $ user_name: NULL
-#>  $ league_id: chr "522458773317046272"
-#>  $ user_id  : NULL
-#>  - attr(*, "class")= chr "sleeper_conn"
-
      -

      I’ve done this with the sleeper_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions after this point are prefixed with “ff_”.

      -

      Cool! Let’s have a quick look at what this league is like.

      -
      -
-jml_summary <- ff_league(jml)
-
-str(jml_summary)
-#> tibble [1 x 15] (S3: tbl_df/tbl/data.frame)
-#>  $ league_id      : chr "522458773317046272"
-#>  $ league_name    : chr "The JanMichaelLarkin Dynasty League"
-#>  $ league_type    : chr "dynasty"
-#>  $ franchise_count: num 12
-#>  $ qb_type        : chr "1QB"
-#>  $ idp            : logi FALSE
-#>  $ scoring_flags  : chr "0.5_ppr"
-#>  $ best_ball      : logi FALSE
-#>  $ salary_cap     : logi FALSE
-#>  $ player_copies  : num 1
-#>  $ years_active   : chr "2019-2020"
-#>  $ qb_count       : chr "1"
-#>  $ roster_size    : int 25
-#>  $ league_depth   : num 300
-#>  $ prev_league_ids: chr "386236959468675072"
-
      -

      Okay, so it’s the JanMichaelLarkin Dynasty League, it’s a 1QB league with 12 teams, half ppr scoring, and rosters about 300 players.

      -

      Let’s grab the rosters now.

      -
      -jml_rosters <- ff_rosters(jml)
-
-head(jml_rosters)
-#> # A tibble: 6 x 7
-#>   franchise_id franchise_name player_id player_name     pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>           <chr> <chr> <dbl>
-#> 1 1            Fake News      2025      Albert Wilson   WR    MIA    28.4
-#> 2 1            Fake News      4089      Gerald Everett  TE    LAR    26.4
-#> 3 1            Fake News      6068      Devine Ozigbo   RB    JAX    24.1
-#> 4 1            Fake News      4036      Corey Davis     WR    TEN    25.9
-#> 5 1            Fake News      1339      Zach Ertz       TE    PHI    30  
-#> 6 1            Fake News      5068      Kerryon Johnson RB    DET    23.4
-
      -
      -

      -Values

      -

      Cool! Let’s pull in some additional context by adding DynastyProcess player values.

      -
      -
-player_values <- dp_values("values-players.csv")
-
-# The values are stored by fantasypros ID since that's where the data comes from. 
-# To join it to our rosters, we'll need playerID mappings.
-
-player_ids <- dp_playerids() %>% 
-  select(sleeper_id,fantasypros_id)
-
-player_values <- player_values %>% 
-  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
-  select(sleeper_id,ecr_1qb,ecr_pos,value_1qb)
-
-# Drilling down to just 1QB values and IDs, we'll be joining it onto rosters and don't need the extra stuff
-
-jml_values <- jml_rosters %>% 
-  left_join(player_values, by = c("player_id"="sleeper_id")) %>% 
-  arrange(franchise_id,desc(value_1qb))
-
-head(jml_values)
-#> # A tibble: 6 x 10
-#>   franchise_id franchise_name player_id player_name pos   team    age ecr_1qb
-#>   <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>   <dbl>
-#> 1 1            Fake News      1426      DeAndre Ho~ WR    ARI    28.4     6.7
-#> 2 1            Fake News      4866      Saquon Bar~ RB    NYG    23.8     7.7
-#> 3 1            Fake News      4037      Chris Godw~ WR    TB     24.7    15.7
-#> 4 1            Fake News      4199      Aaron Jones RB    GB     26      28.3
-#> 5 1            Fake News      4098      Kareem Hunt RB    CLE    25.3    47.7
-#> 6 1            Fake News      4137      James Conn~ RB    PIT    25.5    71.3
-#> # ... with 2 more variables: ecr_pos <dbl>, value_1qb <int>
-
      -

      Let’s do some team summaries now!

      -
      -
-value_summary <- jml_values %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(total_value = sum(value_1qb,na.rm = TRUE)) %>%
-  ungroup() %>% 
-  group_by(franchise_id,franchise_name) %>% 
-  mutate(team_value = sum(total_value)) %>% 
-  ungroup() %>% 
-  pivot_wider(names_from = pos, values_from = total_value) %>% 
-  arrange(desc(team_value))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
-
-value_summary
-#> # A tibble: 12 x 8
-#>    franchise_id franchise_name    team_value    QB    RB    TE    WR    FB
-#>    <chr>        <chr>                  <int> <int> <int> <int> <int> <int>
-#>  1 4            The FANTom Menace      51911  3133 15663  2637 30478    NA
-#>  2 1            Fake News              47805   654 20073  4097 22981    NA
-#>  3 3            solarpool              46000  5907 21904  1321 16868    NA
-#>  4 11           Permian Panthers       43204  4187 11979  5266 21772    NA
-#>  5 12           jaydk                  39289  1972 15583  4343 17391    NA
-#>  6 8            Hocka Flocka           35007  1235 19661  2304 11807    NA
-#>  7 6            sox05syd               33925  3288  4000  7099 19538    NA
-#>  8 9            ZPMiller97             30612  4122 11320  2585 12585    NA
-#>  9 5            Barbarians             29758  4391 16191  2713  6463    NA
-#> 10 7            Flipadelphia05         23353  4078  7371   414 11490    NA
-#> 11 10           JMLarkin               21571   926   396  1389 18860     0
-#> 12 2            KingGabe               18830   543  4577   148 13562    NA
-
      -

      So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages - this helps normalise it to your league environment.

      -
      -value_summary_pct <- value_summary %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
-
-value_summary_pct
-#> # A tibble: 12 x 8
-#>    franchise_id franchise_name    team_value    QB    RB    TE    WR    FB
-#>    <chr>        <chr>                  <dbl> <dbl> <dbl> <dbl> <dbl> <int>
-#>  1 4            The FANTom Menace      0.123 0.091 0.105 0.077 0.15     NA
-#>  2 1            Fake News              0.113 0.019 0.135 0.119 0.113    NA
-#>  3 3            solarpool              0.109 0.172 0.147 0.038 0.083    NA
-#>  4 11           Permian Panthers       0.103 0.122 0.081 0.153 0.107    NA
-#>  5 12           jaydk                  0.093 0.057 0.105 0.127 0.085    NA
-#>  6 8            Hocka Flocka           0.083 0.036 0.132 0.067 0.058    NA
-#>  7 6            sox05syd               0.081 0.095 0.027 0.207 0.096    NA
-#>  8 9            ZPMiller97             0.073 0.12  0.076 0.075 0.062    NA
-#>  9 5            Barbarians             0.071 0.128 0.109 0.079 0.032    NA
-#> 10 7            Flipadelphia05         0.055 0.118 0.05  0.012 0.056    NA
-#> 11 10           JMLarkin               0.051 0.027 0.003 0.04  0.093     0
-#> 12 2            KingGabe               0.045 0.016 0.031 0.004 0.067    NA
-
      -

      Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

      -
      -
      -

      -Age

      -

      Another question you might ask: what is the average age of any given team?

      -

      I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team - including who might be looking to offload an older veteran!

      -
      -
-age_summary <- jml_values %>% 
-  group_by(franchise_id,pos) %>% 
-  mutate(position_value = sum(value_1qb,na.rm=TRUE)) %>% 
-  ungroup() %>% 
-  mutate(weighted_age = age*value_1qb/position_value,
-         weighted_age = round(weighted_age, 1)) %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(count = n(),
-            age = sum(weighted_age,na.rm = TRUE)) %>% 
-  pivot_wider(names_from = pos,
-              values_from = c(age,count))
-#> `summarise()` regrouping output by 'franchise_id', 'franchise_name' (override with `.groups` argument)
-
-age_summary
-#> # A tibble: 12 x 12
-#> # Groups:   franchise_id, franchise_name [12]
-#>    franchise_id franchise_name age_QB age_RB age_TE age_WR age_FB count_QB
-#>    <chr>        <chr>           <dbl>  <dbl>  <dbl>  <dbl>  <dbl>    <int>
-#>  1 1            Fake News        33.1   24.8   26     27       NA        3
-#>  2 10           JMLarkin         29.1   25.8   26.6   25.2      0        3
-#>  3 11           Permian Panth~   23.8   22.9   31     25.7     NA        3
-#>  4 12           jaydk            29.7   25.1   25.7   27.5     NA        4
-#>  5 2            KingGabe         24.4   22     31.3   21.7     NA        5
-#>  6 3            solarpool        25.4   25.2   26.2   27.8     NA        5
-#>  7 4            The FANTom Me~   28.6   24     24     26.3     NA        4
-#>  8 5            Barbarians       24.8   24.3   27.8   26.2     NA        2
-#>  9 6            sox05syd         24.4   23.4   26.8   24.5     NA        3
-#> 10 7            Flipadelphia05   32.6   25.4   26.2   26.1     NA        2
-#> 11 8            Hocka Flocka     29.9   24.3   24.1   23.6     NA        3
-#> 12 9            ZPMiller97       24.2   24.1   26     24.9     NA        3
-#> # ... with 4 more variables: count_RB <int>, count_TE <int>, count_WR <int>,
-#> #   count_FB <int>
-
      -
      -
      -

      -Next steps

      -

      In this vignette, I’ve used ~three functions: ff_connect, ff_league, and ff_rosters. Now that you’ve gotten this far, why not check out some of the other possibilities?

      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - - diff --git a/docs/dev/articles/a2_sleeper_basics_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/a2_sleeper_basics_files/accessible-code-block-0.0.1/empty-anchor.js deleted file mode 100644 index ca349fd6..00000000 --- a/docs/dev/articles/a2_sleeper_basics_files/accessible-code-block-0.0.1/empty-anchor.js +++ /dev/null @@ -1,15 +0,0 @@ -// Hide empty tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) --> -// v0.0.1 -// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020. - -document.addEventListener('DOMContentLoaded', function() { - const codeList = document.getElementsByClassName("sourceCode"); - for (var i = 0; i < codeList.length; i++) { - var linkList = codeList[i].getElementsByTagName('a'); - for (var j = 0; j < linkList.length; j++) { - if (linkList[j].innerHTML === "") { - linkList[j].setAttribute('aria-hidden', 'true'); - } - } - } -}); diff --git a/docs/dev/articles/a2_sleeper_basics_files/header-attrs-2.3/header-attrs.js b/docs/dev/articles/a2_sleeper_basics_files/header-attrs-2.3/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/a2_sleeper_basics_files/header-attrs-2.3/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/espn_authentication.html b/docs/dev/articles/espn_authentication.html deleted file mode 100644 index 2ce5e365..00000000 --- a/docs/dev/articles/espn_authentication.html +++ /dev/null @@ -1,258 +0,0 @@ - - - - - - - -ESPN: Private Leagues • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      ESPN: Private Leagues

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/espn_authentication.Rmd - - -
      - - - -

      This vignette details how to connect to ESPN private leagues by retreiving the ESPN_S2 and SWID parameters from a live login. This cannot be done programmatically at this time.

      -
      -

      -Instructions

      -
        -
      1. Visit your main league page (i.e. https://fantasy.espn.com/football/team?leagueId=899513&seasonId=2020)
        2. -
      2. Make sure you are logged in.
        3. -
      3. Open Developer Tools (on Chrome/Firefox, right-click anywhere on the page and select Inspect Element)
        4. -
      4. Go to Storage (for Firefox) or Application (for Chrome) and browse the Cookies available for fantasy.espn.com -
        5. -
      5. The values for SWID and ESPN_S2 are the parameters that are used by ffscrapr to connect to your private league. You can right-click and copy the values from here.
        6. -
      -

      The most convenient way to handle these in any project is to store them as environment variables. You can run usethis::edit_r_environ() to add these to your user environment, by adding lines that look like:

      -
      TAN_ESPN_S2="AECt%2F12312Dwd5ktQSzfuG"
-TAN_SWID="{1E6CC139-}"
-
      -

      The above values are both truncated (for security purposes) but ESPN_S2 is often over 250 characters long and SWID is about 38 characters long including the curly brackets.

      -

      After adding the above lines to your .Renviron and restarting R, you can access them in an espn_connect call by using Sys.getenv as per below:

      -
      conn <- espn_connect(
-  season = 2019,
-  league_id = 899513,
-  espn_s2 = Sys.getenv("TAN_ESPN_S2"),
-  swid = Sys.getenv("TAN_SWID")
-)
-
      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - diff --git a/docs/dev/articles/espn_authentication_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/espn_authentication_files/header-attrs-2.7/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/espn_authentication_files/header-attrs-2.7/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/espn_basics.html b/docs/dev/articles/espn_basics.html deleted file mode 100644 index 14f03c0d..00000000 --- a/docs/dev/articles/espn_basics.html +++ /dev/null @@ -1,429 +0,0 @@ - - - - - - - -ESPN: Basics • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      ESPN: Basics

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/espn_basics.Rmd - - -
      - - - -

      In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on ESPN, pulling in roster data.

      -

      We’ll start by loading the packages:

      - -

      In ESPN, you can find the league ID by looking in the URL - it’s the number immediately after ?leagueId in this example URL: https://fantasy.espn.com/football/team?leagueId=899513&seasonId=2020

      -

      Let’s set up a connection to this league:

      -
      -sucioboys <- espn_connect(season = 2020, league_id = 899513)
-
-sucioboys
-#> <ESPN connection 2020_899513>
-#> List of 4
-#>  $ platform : chr "ESPN"
-#>  $ season   : chr "2020"
-#>  $ league_id: chr "899513"
-#>  $ cookies  : NULL
-#>  - attr(*, "class")= chr "espn_conn"
      -

      I’ve done this with the espn_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions after this point are prefixed with “ff_”.

      -

      Cool! Let’s have a quick look at what this league is like.

      -
      -sucioboys_summary <- ff_league(sucioboys)
-#> Using request.R from "ffscrapr"
-#> No encoding supplied: defaulting to UTF-8.
-
-str(sucioboys_summary)
-#> tibble [1 x 16] (S3: tbl_df/tbl/data.frame)
-#>  $ league_id      : chr "899513"
-#>  $ league_name    : chr "Sucio Boys"
-#>  $ season         : int 2020
-#>  $ league_type    : chr "keeper"
-#>  $ franchise_count: int 10
-#>  $ qb_type        : chr "2QB/SF"
-#>  $ idp            : logi FALSE
-#>  $ scoring_flags  : chr "0.5_ppr"
-#>  $ best_ball      : logi FALSE
-#>  $ salary_cap     : logi FALSE
-#>  $ player_copies  : num 1
-#>  $ years_active   : chr "2018-2020"
-#>  $ qb_count       : chr "1-2"
-#>  $ roster_size    : int 24
-#>  $ league_depth   : num 240
-#>  $ keeper_count   : int 22
      -

      Okay, so it’s the Sucio Boys league, it’s a 2QB league with 12 teams, half ppr scoring, and rosters about 240 players.

      -

      Let’s grab the rosters now.

      -
      -sucioboys_rosters <- ff_rosters(sucioboys)
-#> No encoding supplied: defaulting to UTF-8.
-#> No encoding supplied: defaulting to UTF-8.
-
-head(sucioboys_rosters) # quick snapshot of rosters
-#> # A tibble: 6 x 10
-#>   franchise_id franchise_name player_id player_name     team  pos   eligible_pos
-#>          <int> <chr>              <int> <chr>           <chr> <chr> <list>      
-#> 1            1 The Early GGod   4036348 Michael Gallup  DAL   WR    <chr [7]>   
-#> 2            1 The Early GGod   4036131 Noah Fant       DEN   TE    <chr [6]>   
-#> 3            1 The Early GGod    -16003 Bears D/ST      CHI   DST   <chr [3]>   
-#> 4            1 The Early GGod     15920 Latavius Murray NOS   RB    <chr [6]>   
-#> 5            1 The Early GGod   3055899 Harrison Butker KCC   K     <chr [3]>   
-#> 6            1 The Early GGod   4241372 Marquise Brown  BAL   WR    <chr [7]>   
-#> # ... with 3 more variables: status <chr>, acquisition_type <chr>,
-#> #   acquisition_date <dttm>
      -
      -

      -Values

      -

      Cool! Let’s pull in some additional context by adding DynastyProcess player values.

      -
      -player_values <- dp_values("values-players.csv")
-#> No encoding supplied: defaulting to UTF-8.
-
-# The values are stored by fantasypros ID since that's where the data comes from. 
-# To join it to our rosters, we'll need playerID mappings.
-
-player_ids <- dp_playerids() %>% 
-  select(espn_id,fantasypros_id) %>% 
-  filter(!is.na(espn_id),!is.na(fantasypros_id))
-#> No encoding supplied: defaulting to UTF-8.
-
-# We'll be joining it onto rosters, so we can trim down the values dataframe
-# to just IDs, age, and values
-
-player_values <- player_values %>% 
-  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
-  select(espn_id,age,ecr_2qb,ecr_pos,value_2qb)
-
-# we can join the roster's player_ids on the values' espn_id, with a bit of a type conversion first
-sucioboys_values <- sucioboys_rosters %>% 
-  mutate(player_id = as.character(player_id)) %>% 
-  left_join(player_values, by = c("player_id"="espn_id")) %>% 
-  arrange(franchise_id,desc(value_2qb))
-
-head(sucioboys_values)
-#> # A tibble: 6 x 14
-#>   franchise_id franchise_name player_id player_name     team  pos   eligible_pos
-#>          <int> <chr>          <chr>     <chr>           <chr> <chr> <list>      
-#> 1            1 The Early GGod 4242335   Jonathan Taylor IND   RB    <chr [7]>   
-#> 2            1 The Early GGod 4241985   J.K. Dobbins    BAL   RB    <chr [7]>   
-#> 3            1 The Early GGod 2976316   Michael Thomas  NOS   WR    <chr [7]>   
-#> 4            1 The Early GGod 4241479   Tua Tagovailoa  MIA   QB    <chr [5]>   
-#> 5            1 The Early GGod 4040715   Jalen Hurts     PHI   QB    <chr [5]>   
-#> 6            1 The Early GGod 4239993   Tee Higgins     CIN   WR    <chr [8]>   
-#> # ... with 7 more variables: status <chr>, acquisition_type <chr>,
-#> #   acquisition_date <dttm>, age <dbl>, ecr_2qb <dbl>, ecr_pos <dbl>,
-#> #   value_2qb <int>
      -

      Let’s do some team summaries now!

      -
      -value_summary <- sucioboys_values %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(total_value = sum(value_2qb,na.rm = TRUE)) %>%
-  ungroup() %>% 
-  group_by(franchise_id,franchise_name) %>% 
-  mutate(team_value = sum(total_value)) %>% 
-  ungroup() %>% 
-  pivot_wider(names_from = pos, values_from = total_value) %>% 
-  arrange(desc(team_value)) %>% 
-  select(franchise_id,franchise_name,team_value,QB,RB,WR,TE)
-
-value_summary
-#> # A tibble: 10 x 7
-#>    franchise_id franchise_name                team_value    QB    RB    WR    TE
-#>           <int> <chr>                              <int> <int> <int> <int> <int>
-#>  1            5 "The Juggernaut"                   51211  7661 20007 17334  6209
-#>  2            6 "OBJ's Personal Porta Potty"       47172 19545 23252  1394  2981
-#>  3            2 "Coom  Dumpster"                   46885 16317  4032 24880  1656
-#>  4            7 "Tony El Tigre"                    43408 14142 17399  4988  6879
-#>  5            4 "I'm Also Sad "                    42807  2951 17737 17570  4549
-#>  6            1 "The Early GGod"                   39982 11452 14925 10705  2900
-#>  7            3 "PAKI STANS"                       39137 12951 11897 12607  1682
-#>  8            9 "RAFI CUNADO"                      36116 10172 11676 13015  1253
-#>  9           10 "Austin <U+0001F410>Drew Loc~      25240 10278   414 14444   104
-#> 10            8 "Big Coomers"                      20671  7894  1336 11281   160
      -

      So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages - this helps normalise it to your league environment.

      -
      -value_summary_pct <- value_summary %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
-
-value_summary_pct
-#> # A tibble: 10 x 7
-#>    franchise_id franchise_name                team_value    QB    RB    WR    TE
-#>           <int> <chr>                              <dbl> <dbl> <dbl> <dbl> <dbl>
-#>  1            5 "The Juggernaut"                   0.13  0.068 0.163 0.135 0.219
-#>  2            6 "OBJ's Personal Porta Potty"       0.12  0.172 0.19  0.011 0.105
-#>  3            2 "Coom  Dumpster"                   0.119 0.144 0.033 0.194 0.058
-#>  4            7 "Tony El Tigre"                    0.111 0.125 0.142 0.039 0.242
-#>  5            4 "I'm Also Sad "                    0.109 0.026 0.145 0.137 0.16 
-#>  6            1 "The Early GGod"                   0.102 0.101 0.122 0.083 0.102
-#>  7            3 "PAKI STANS"                       0.1   0.114 0.097 0.098 0.059
-#>  8            9 "RAFI CUNADO"                      0.092 0.09  0.095 0.102 0.044
-#>  9           10 "Austin <U+0001F410>Drew Loc~      0.064 0.091 0.003 0.113 0.004
-#> 10            8 "Big Coomers"                      0.053 0.07  0.011 0.088 0.006
      -

      Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

      -
      -
      -

      -Age

      -

      Another question you might ask: what is the average age of any given team?

      -

      I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team - including who might be looking to offload an older veteran!

      -
      -age_summary <- sucioboys_values %>% 
-  filter(pos %in% c("QB","RB","WR","TE")) %>% 
-  group_by(franchise_id,pos) %>% 
-  mutate(position_value = sum(value_2qb,na.rm=TRUE)) %>% 
-  ungroup() %>% 
-  mutate(weighted_age = age*value_2qb/position_value,
-         weighted_age = round(weighted_age, 1)) %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(count = n(),
-            age = sum(weighted_age,na.rm = TRUE)) %>% 
-  pivot_wider(names_from = pos,
-              values_from = c(age,count))
-
-age_summary
-#> # A tibble: 10 x 10
-#> # Groups:   franchise_id, franchise_name [10]
-#>    franchise_id franchise_name     age_QB age_RB age_TE age_WR count_QB count_RB
-#>           <int> <chr>               <dbl>  <dbl>  <dbl>  <dbl>    <int>    <int>
-#>  1            1 "The Early GGod"     23.7   22.3   24.7   25.8        4        6
-#>  2            2 "Coom  Dumpster"     28.4   26.5   26.8   25.7        4        7
-#>  3            3 "PAKI STANS"         28.3   24.9   23.6   25.7        3        6
-#>  4            4 "I'm Also Sad "      35.8   24.6   28.4   27.1        2        5
-#>  5            5 "The Juggernaut"     24.5   24.2   31.3   25.2        3        8
-#>  6            6 "OBJ's Personal P~   24.5   24.4   25     24.3        3        6
-#>  7            7 "Tony El Tigre"      24.5   24.7   27.5   26.2        3        5
-#>  8            8 "Big Coomers"        23.8   27     28.7   27.2        3        7
-#>  9            9 "RAFI CUNADO"        34.6   25.5   26     24.1        3        5
-#> 10           10 "Austin <U+0001F4~   31.4   27.8   31.8   24.9        3        5
-#> # ... with 2 more variables: count_TE <int>, count_WR <int>
      -
      -
      -

      -Next steps

      -

      In this vignette, I’ve used only a few functions: ff_connect, ff_league, ff_rosters, and dp_values. Now that you’ve gotten this far, why not check out some of the other possibilities?

      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - diff --git a/docs/dev/articles/espn_basics_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/espn_basics_files/header-attrs-2.7/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/espn_basics_files/header-attrs-2.7/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/espn_getendpoint.html b/docs/dev/articles/espn_getendpoint.html deleted file mode 100644 index f39fd01c..00000000 --- a/docs/dev/articles/espn_getendpoint.html +++ /dev/null @@ -1,351 +0,0 @@ - - - - - - - -ESPN: Get Endpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      ESPN: Get Endpoint

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/espn_getendpoint.Rmd - - -
      - - - -
      -

      -ESPN API - An Adventure Into Uncharted Territory

      - -

      Accessing the ESPN Fantasy API is a bit of an adventure into an undocumented abyss. This vignette will give you a bit of a rundown on how to use espn_getendpoint and the lower-level espn_getendpoint_raw, talk about the x-fantasy-filter, and detail some of the known view parameters that could be helpful.

      -
      -
      -

      -Known Endpoints

      -

      The ESPN Fantasy API is typically accessed from two endpoints:

      -
      https://fantasy.espn.com/apis/v3/games/ffl/seasons/{season}/segments/0/leagues/{league_id} # for 2018 onward
-https://fantasy.espn.com/apis/v3/games/ffl/leagueHistory/{league_id}?seasonId={season} # for 2017 or earlier
      -

      Here’s a non-exhaustive list of view endpoints that I know of:

      -
        -
      • mTeam
        • -
      • mMatchup
        • -
      • mRoster
        • -
      • mSettings
        • -
      • mBoxscore
        • -
      • mMatchupScore
        • -
      • kona_player_info
        • -
      • player_wl
        • -
      • mSchedule
        • -
      • mScoreboard
        • -
      -

      Please note that calling various combinations of these views at once can often return different results than calling them separately.

      -

      A good way to stumble on these endpoints is to load Developer Tools in your browser, go to the Network tab, and then interact with the fantasy.espn.com site to see what API requests the main page is making.

      -

      Alternatively, you can consult the source code of other API packages (including those in other languages) which might give you a bit of a better idea of what’s possible!

      -
      -
      -

      -Using espn_getendpoint

      -

      ESPN’s API is mostly structured as making requests of different views against the main league endpoint.

      -

      For example, https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=mDraftDetail

      -

      will pull up draft details for the 2020 league ID 899513. espn_getendpoint helps facilitate this request by allowing you to instead write:

      -
      -conn <- espn_connect(season = 2020, league_id = 899513)
-
-draft_details <- espn_getendpoint(conn, view = "mDraftDetail")
-
-draft_details
-#> <ESPN - GET https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=mDraftDetail>
-#> List of 8
-#>  $ draftDetail    :List of 4
-#>  $ gameId         : int 1
-#>  $ id             : int 899513
-#>  $ scoringPeriodId: int 18
-#>  $ seasonId       : int 2020
-#>  $ segmentId      : int 0
-#>  $ settings       :List of 1
-#>  $ status         :List of 21
      -

      This will automatically pass in the league ID, season, and authentication cookies (if used) from the conn object and place it into the request.

      -

      You can also use the lower-level equivalent, espn_getendpoint_raw, which does not build the URL from the conn object but still uses the conn object to pass along any authentication cookies:

      -
      -draft_details_raw <- espn_getendpoint_raw(
-  conn,
-  "https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=mDraftDetail")
-
-draft_details_raw
-#> <ESPN - GET https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=mDraftDetail>
-#> List of 8
-#>  $ draftDetail    :List of 4
-#>  $ gameId         : int 1
-#>  $ id             : int 899513
-#>  $ scoringPeriodId: int 18
-#>  $ seasonId       : int 2020
-#>  $ segmentId      : int 0
-#>  $ settings       :List of 1
-#>  $ status         :List of 21
      -

      These are equivalent requests. One reason to use the “raw” version is to be able to pass multiple view parameters such as view=mDraftDetail&view=mSettings as the query, which is not possible with the main endpoint function because it only accepts one option for the view http query.

      -
      -
      -

      -X-Fantasy-Filter

      -

      Many of the endpoints are also affected by a JSON header, X-Fantasy-Filter, which can filter/sort/limit (or remove limits) from the API response. Here is an example of how to build up a valid JSON x-fantasy-filter, sourced from the code for ff_playerscores:

      -
      -
-xff <- list(players = list(
-  limit = 5,
-  sortPercOwned = 
-    list(sortAsc = FALSE,
-         sortPriority = 1),
-  filterStatsForTopScoringPeriodIDs = 
-    list(value = 2,
-         additionalValue = c(paste0("00", conn$season)))
-  )) %>%
-  jsonlite::toJSON(auto_unbox = TRUE)
-
-xff
-#> {"players":{"limit":5,"sortPercOwned":{"sortAsc":false,"sortPriority":1},"filterStatsForTopScoringPeriodIDs":{"value":2,"additionalValue":"002020"}}}
      -

      This JSON limits the total responses to 5, filters the “statIDs” returned to just the ones prefixed by “00”, and sorts the whole thing by percent owned, descending.

      -

      I’m not exactly clear on what all of the options for x-fantasy-filter are, but you can use it to emulate what’s happening in the request on fantasy.espn.com.

      -

      Both the espn_getendpoint and espn_getendpoint_raw functions can accept x-fantasy-filters. espn_getendpoint has an x_fantasy_filterargument that takes the JSON object created above, while espn_getendpoint_raw requires that the object is converted into an HTTP header first.

      -

      Examples here:

      -
      -player_scores <- espn_getendpoint(conn, view = "kona_player_info", x_fantasy_filter = xff)
-
-player_scores_2 <- espn_getendpoint_raw(
-  conn,
-  "https://fantasy.espn.com/apis/v3/games/ffl/seasons/2020/segments/0/leagues/899513?view=kona_player_info",
-  httr::add_headers(`X-Fantasy-Filter` = xff))
      -
      -
      -

      -Other ESPN API resources

      -

      Kiernan Nichols’s fflr R package is an R package available on CRAN that is built specifically for ESPN API access. As of this writing (2021-03-03) it only supports public leagues, and has a few style differences as a light-weight/lower-dependency package.

      -

      Many of the API endpoints are being researched in other languages and you might be able to draw inspiration on what’s possible by checking them out:

      -
        -

      • Christian Wendt’s espn-api Python package was incredibly helpful in discovering the known and documented API endpoints.

        • -

      • Mike Kreiser’s ESPN-Fantasy-Football-API is a well-documented JS client.

        • -

      • Steven Morse also has several great blog posts on using the API, mostly accessed via Python.

        • -
      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - diff --git a/docs/dev/articles/espn_getendpoint_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/espn_getendpoint_files/header-attrs-2.7/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/espn_getendpoint_files/header-attrs-2.7/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/ffscrapr_caching.html b/docs/dev/articles/ffscrapr_caching.html deleted file mode 100644 index 65d8f494..00000000 --- a/docs/dev/articles/ffscrapr_caching.html +++ /dev/null @@ -1,280 +0,0 @@ - - - - - - - -ffscrapr: Managing Cache • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      ffscrapr: Managing Cache

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/ffscrapr_caching.Rmd - - -
      - - - -
      -

      -Caching: It’s Responsible Web Etiquette!

      -

      One of the many packages that inspired ffscrapr is Dmytro Perepolkin’s polite package, which sets out some pillars of responsible web etiquette, including introducing yourself, taking slowly, and never asking twice for the same thing.

      -

      ffscrapr gives you convenient routes to support these:

      -
        -

      • You can set a user_agent string with any connection to help identify yourself to the API platform (MFL actually gives you a higher rate limit if you register with them as an API Client!)

        • -

      • You can set rate_limit options to help manage the load on the API (and to comply with any restrictions that APIs have set out)

        • -

      • Behind the scenes, ffscrapr is saving the results of expensive (i.e. slow, data-heavy) and stable (i.e. not likely to change rapidly) queries so that a) it can return things faster to you and b) minimize server load.

        • -
      -

      This vignette explains and helps you manage this caching.

      -
      -
      -

      -What is being cached? How long is it being cached for?

      -

      ffscrapr’s core functions often loop over the same, stable endpoints to help return the data for each function - things like “player names/positions/teams”, “franchise IDs/names”, and “league scoring rules” are all used frequently. ffscrapr incorporates memoise package to help with this functionality, and (as of this writing) saves the results of these functions:

      - -

      You can find an updated list of cached functions in the zzz.R source code page.

      -
      -
      -

      -Where is it being cached?

      -

      By default, ffscrapr will save the results of each function call (i.e. function + arguments) into memory.

      -

      If you would like to have your cache stored on your local filesystem, you can adjust this behaviour by adding the following line to your (or your project) .Rprofile, or by adding it BEFORE you library/load the package.

      -
      -options(ffscrapr.cache = "filesystem")
      -

      This will instruct ffscrapr to store the cache on your machine, as dictated by the typical cache location for your operating system. You can see where this is by running the following line of code:

      -
      -rappdirs::user_cache_dir("ffscrapr")
      -
      -
      -

      -How can I clear the cache?

      -

      You can use the following function to clear the cache (whether it is in memory or on your filesystem):

      -
      -.ffscrapr_clear_cache()
      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - diff --git a/docs/dev/articles/ffscrapr_caching_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/ffscrapr_caching_files/accessible-code-block-0.0.1/empty-anchor.js deleted file mode 100644 index ca349fd6..00000000 --- a/docs/dev/articles/ffscrapr_caching_files/accessible-code-block-0.0.1/empty-anchor.js +++ /dev/null @@ -1,15 +0,0 @@ -// Hide empty tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) --> -// v0.0.1 -// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020. - -document.addEventListener('DOMContentLoaded', function() { - const codeList = document.getElementsByClassName("sourceCode"); - for (var i = 0; i < codeList.length; i++) { - var linkList = codeList[i].getElementsByTagName('a'); - for (var j = 0; j < linkList.length; j++) { - if (linkList[j].innerHTML === "") { - linkList[j].setAttribute('aria-hidden', 'true'); - } - } - } -}); diff --git a/docs/dev/articles/ffscrapr_caching_files/header-attrs-2.3/header-attrs.js b/docs/dev/articles/ffscrapr_caching_files/header-attrs-2.3/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/ffscrapr_caching_files/header-attrs-2.3/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/ffscrapr_caching_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/ffscrapr_caching_files/header-attrs-2.7/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/ffscrapr_caching_files/header-attrs-2.7/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/ffscrapr_scoringhistory.html b/docs/dev/articles/ffscrapr_scoringhistory.html deleted file mode 100644 index 0e8d05f3..00000000 --- a/docs/dev/articles/ffscrapr_scoringhistory.html +++ /dev/null @@ -1,247 +0,0 @@ - - - - - - - -ffscrapr: ff_scoringhistory Limitations • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      ffscrapr: ff_scoringhistory Limitations

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/ffscrapr_scoringhistory.Rmd - - -
      - - - -
      -

      -Limitations of ff_scoringhistory

      -

      For all sites:

      -
        -
      • Official NFL lateral scoring may be different than MFL scoring
        • -
      • Special team TDs are not broken down into punt returns, kick returns, and FG returns in nflfastR load_player_stats so the kick return scoring was applied to all special team TDs
        • -
      • No support for IDPs, team defenses, kickers, coaches, fumbles, return yards, offensive fumble recoveries
        • -
      • Support for eccentric rules (bonuses for long plays, conditional rules) will be added on a request basis
        • -
      -

      For Fleaflicker: - Does Fleaflicker allow for ranged scoring rules like MFL? (assume no)

      -

      For Sleeper: - Does Sleeper allow for ranged scoring rules like MFL? (assume no) - Does Sleeper allow for positional scoring rules? (assume no)

      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - diff --git a/docs/dev/articles/ffscrapr_scoringhistory_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/ffscrapr_scoringhistory_files/header-attrs-2.7/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/ffscrapr_scoringhistory_files/header-attrs-2.7/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/fleaflicker_basics.html b/docs/dev/articles/fleaflicker_basics.html deleted file mode 100644 index d8596446..00000000 --- a/docs/dev/articles/fleaflicker_basics.html +++ /dev/null @@ -1,430 +0,0 @@ - - - - - - - -Fleaflicker: Basics • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      Fleaflicker: Basics

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/fleaflicker_basics.Rmd - - -
      - - - -

      In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on Fleaflicker.

      -

      We’ll start by loading the packages:

      - -

      In Fleaflicker, you can find the league ID by looking in the URL - it’s the number immediately after /league/ in this example URL: https://www.fleaflicker.com/nfl/leagues/312861.

      -

      Let’s set up a connection to this league:

      -
      -aaa <- fleaflicker_connect(season = 2020, league_id = 312861)
-
-aaa
-#> <Fleaflicker connection 2020_312861>
-#> List of 4
-#>  $ platform  : chr "Fleaflicker"
-#>  $ season    : chr "2020"
-#>  $ user_email: NULL
-#>  $ league_id : chr "312861"
-#>  - attr(*, "class")= chr "flea_conn"
      -

      I’ve done this with the fleaflicker_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions after this point are prefixed with “ff_”.

      -

      Cool! Let’s have a quick look at what this league is like.

      -
      -
-aaa_summary <- ff_league(aaa)
-#> Using request.R from "ffscrapr"
-#> No encoding supplied: defaulting to UTF-8.
-
-str(aaa_summary)
-#> tibble [1 x 15] (S3: tbl_df/tbl/data.frame)
-#>  $ league_id      : chr "312861"
-#>  $ league_name    : chr "Avid Auctioneers Alliance"
-#>  $ season         : int 2020
-#>  $ league_type    : chr "dynasty"
-#>  $ franchise_count: num 12
-#>  $ qb_type        : chr "2QB/SF"
-#>  $ idp            : logi FALSE
-#>  $ scoring_flags  : chr "0.5_ppr, PP1D"
-#>  $ best_ball      : logi FALSE
-#>  $ salary_cap     : logi FALSE
-#>  $ player_copies  : num 1
-#>  $ qb_count       : chr "1-2"
-#>  $ roster_size    : int 28
-#>  $ league_depth   : num 336
-#>  $ keeper_count   : int 28
      -

      Okay, so it’s the Avid Auctioneers Alliance, it’s a 2QB league with 12 teams, half ppr scoring, and rosters about 340 players.

      -

      Let’s grab the rosters now.

      -
      -aaa_rosters <- ff_rosters(aaa)
-
-head(aaa_rosters)
-#> # A tibble: 6 x 7
-#>   franchise_id franchise_name player_id player_name  pos   team  sportradar_id  
-#>          <int> <chr>              <int> <chr>        <chr> <chr> <chr>          
-#> 1      1578553 Running Bear       12032 Carson Wentz QB    PHI   e9a5c16b-4472-~
-#> 2      1578553 Running Bear        7378 Cam Newton   QB    NE    214e55e4-a089-~
-#> 3      1578553 Running Bear       15622 Joshua Kell~ RB    LAC   62542e04-3c44-~
-#> 4      1578553 Running Bear       13358 Matt Breida  RB    MIA   6249d2c0-75dc-~
-#> 5      1578553 Running Bear        7369 A.J. Green   WR    CIN   c9701373-23f6-~
-#> 6      1578553 Running Bear       13782 Anthony Mil~ WR    CHI   bfaedf99-7618-~
      -
      -

      -Values

      -

      Cool! Let’s pull in some additional context by adding DynastyProcess player values.

      -
      -player_values <- dp_values("values-players.csv")
-#> No encoding supplied: defaulting to UTF-8.
-
-# The values are stored by fantasypros ID since that's where the data comes from. 
-# To join it to our rosters, we'll need playerID mappings.
-
-player_ids <- dp_playerids() %>% 
-  select(sportradar_id,fantasypros_id) %>% 
-  filter(!is.na(sportradar_id),!is.na(fantasypros_id))
-#> No encoding supplied: defaulting to UTF-8.
-
-# We'll be joining it onto rosters, so we can trim down the values dataframe
-# to just IDs, age, and values
-
-player_values <- player_values %>% 
-  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
-  select(sportradar_id,age,ecr_2qb,ecr_pos,value_2qb)
-
-# ff_rosters() will return the sportradar_id, which we can then match to our player values!
-
-aaa_values <- aaa_rosters %>% 
-  left_join(player_values, by = c("sportradar_id"="sportradar_id")) %>% 
-  arrange(franchise_id,desc(value_2qb))
-
-head(aaa_values)
-#> # A tibble: 6 x 11
-#>   franchise_id franchise_name player_id player_name  pos   team  sportradar_id  
-#>          <int> <chr>              <int> <chr>        <chr> <chr> <chr>          
-#> 1      1578553 Running Bear       12159 Dak Prescott QB    DAL   86197778-8d4b-~
-#> 2      1578553 Running Bear       12926 Chris Godwin WR    TB    baa61bb5-f8d0-~
-#> 3      1578553 Running Bear       12032 Carson Wentz QB    PHI   e9a5c16b-4472-~
-#> 4      1578553 Running Bear       13325 Austin Ekel~ RB    LAC   e5b8c439-a48a-~
-#> 5      1578553 Running Bear       15531 Brandon Aiy~ WR    SF    c90471cc-fa60-~
-#> 6      1578553 Running Bear        9338 Robert Woods WR    LAR   618bedee-9259-~
-#> # ... with 4 more variables: age <dbl>, ecr_2qb <dbl>, ecr_pos <dbl>,
-#> #   value_2qb <int>
      -

      Let’s do some team summaries now!

      -
      -value_summary <- aaa_values %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(total_value = sum(value_2qb,na.rm = TRUE)) %>%
-  ungroup() %>% 
-  group_by(franchise_id,franchise_name) %>% 
-  mutate(team_value = sum(total_value)) %>% 
-  ungroup() %>% 
-  pivot_wider(names_from = pos, values_from = total_value) %>% 
-  arrange(desc(team_value)) %>% 
-  select(franchise_id,franchise_name,team_value,QB,RB,WR,TE)
-
-value_summary
-#> # A tibble: 12 x 7
-#>    franchise_id franchise_name      team_value    QB    RB    WR    TE
-#>           <int> <chr>                    <int> <int> <int> <int> <int>
-#>  1      1581803 ZachFarni's Team         45658 10299 19968 15334    57
-#>  2      1581722 syd12nyjets's Team       39773 14666  4596 19094  1417
-#>  3      1581719 Jmuthers's Team          36800  8073 10710 10055  7962
-#>  4      1581721 Mjenkyns2004's Team      35061 19338  3680 11598   445
-#>  5      1582416 Ray Jay Team             34369  6201 11128  9012  8028
-#>  6      1581753 fede_mndz's Team         34022  3071 16590 13803   558
-#>  7      1581988 The DK Crew              34020  9167  6627 15292  2834
-#>  8      1582423 The Verblanders          33492 10661 11273 11186   372
-#>  9      1581720 brosene's Team           33432 12479 12380  6184  2389
-#> 10      1581718 AlexG5386's Team         32997  8185 15644  4575  4593
-#> 11      1581726 SCJaguars's Team         27219  3397 15703  8041    78
-#> 12      1578553 Running Bear             23630 10533  3585  8257  1255
      -

      So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages - this helps normalise it to your league environment.

      -
      -value_summary_pct <- value_summary %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
-
-value_summary_pct
-#> # A tibble: 12 x 7
-#>    franchise_id franchise_name      team_value    QB    RB    WR    TE
-#>           <int> <chr>                    <dbl> <dbl> <dbl> <dbl> <dbl>
-#>  1      1581803 ZachFarni's Team         0.111 0.089 0.151 0.116 0.002
-#>  2      1581722 syd12nyjets's Team       0.097 0.126 0.035 0.144 0.047
-#>  3      1581719 Jmuthers's Team          0.09  0.07  0.081 0.076 0.266
-#>  4      1581721 Mjenkyns2004's Team      0.085 0.167 0.028 0.088 0.015
-#>  5      1582416 Ray Jay Team             0.084 0.053 0.084 0.068 0.268
-#>  6      1581753 fede_mndz's Team         0.083 0.026 0.126 0.104 0.019
-#>  7      1581988 The DK Crew              0.083 0.079 0.05  0.115 0.095
-#>  8      1582423 The Verblanders          0.082 0.092 0.085 0.084 0.012
-#>  9      1581720 brosene's Team           0.081 0.108 0.094 0.047 0.08 
-#> 10      1581718 AlexG5386's Team         0.08  0.071 0.119 0.035 0.153
-#> 11      1581726 SCJaguars's Team         0.066 0.029 0.119 0.061 0.003
-#> 12      1578553 Running Bear             0.058 0.091 0.027 0.062 0.042
      -

      Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

      -
      -
      -

      -Age

      -

      Another question you might ask: what is the average age of any given team?

      -

      I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team - including who might be looking to offload an older veteran!

      -
      -age_summary <- aaa_values %>% 
-  filter(pos %in% c("QB","RB","WR","TE")) %>% 
-  group_by(franchise_id,pos) %>% 
-  mutate(position_value = sum(value_2qb,na.rm=TRUE)) %>% 
-  ungroup() %>% 
-  mutate(weighted_age = age*value_2qb/position_value,
-         weighted_age = round(weighted_age, 1)) %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(count = n(),
-            age = sum(weighted_age,na.rm = TRUE)) %>% 
-  pivot_wider(names_from = pos,
-              values_from = c(age,count))
-
-age_summary
-#> # A tibble: 12 x 10
-#> # Groups:   franchise_id, franchise_name [12]
-#>    franchise_id franchise_name     age_QB age_RB age_TE age_WR count_QB count_RB
-#>           <int> <chr>               <dbl>  <dbl>  <dbl>  <dbl>    <int>    <int>
-#>  1      1578553 Running Bear         27.7   25.8   26.2   25.4        6        6
-#>  2      1581718 AlexG5386's Team     30.7   24.9   28.4   26.4        3       12
-#>  3      1581719 Jmuthers's Team      24.9   24.4   26.6   28.8        5        8
-#>  4      1581720 brosene's Team       29.7   25.6   24.7   26.4        6       10
-#>  5      1581721 Mjenkyns2004's Te~   25.8   24     26.8   26.6        5        9
-#>  6      1581722 syd12nyjets's Team   24.8   22.4   24.4   22.2        5        7
-#>  7      1581726 SCJaguars's Team     23.8   24.9   33     24.3        5        7
-#>  8      1581753 fede_mndz's Team     35.7   24.7   24.5   27.9        6       12
-#>  9      1581803 ZachFarni's Team     28.2   21.9   25.8   24.2        5        9
-#> 10      1581988 The DK Crew          27     22.6   24.9   25          4        6
-#> 11      1582416 Ray Jay Team         29.6   26.4   30.2   27          4        8
-#> 12      1582423 The Verblanders      24.3   25.3   26.1   27.3        4        8
-#> # ... with 2 more variables: count_TE <int>, count_WR <int>
      -
      -
      -

      -Next steps

      -

      In this vignette, I’ve used only a few functions: ff_connect, ff_league, ff_rosters, and dp_values. Now that you’ve gotten this far, why not check out some of the other possibilities?

      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - diff --git a/docs/dev/articles/fleaflicker_basics_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/fleaflicker_basics_files/header-attrs-2.7/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/fleaflicker_basics_files/header-attrs-2.7/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/fleaflicker_getendpoint.html b/docs/dev/articles/fleaflicker_getendpoint.html deleted file mode 100644 index e9528143..00000000 --- a/docs/dev/articles/fleaflicker_getendpoint.html +++ /dev/null @@ -1,339 +0,0 @@ - - - - - - - -Fleaflicker: Get Endpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      Fleaflicker: Get Endpoint

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/fleaflicker_getendpoint.Rmd - - -
      - - - -
      -

      -Creating custom Fleaflicker API calls

      - -

      The Fleaflicker API is fairly extensive. If there is something you’d like to access that’s beyond the current scope of ffscrapr, you can use the lower-level “fleaflicker_getendpoint” function to create a GET request and access the data, while still using the authentication and rate-limiting features I’ve already created.

      -

      Here is an example of how you can call one of the endpoints - in this case, let’s zoom in on the Fetch League Scoreboard endpoint, which is used inside a few different ffscrapr functions and summarised in a few ways.

      -

      We’ll start by opening up this page, https://www.fleaflicker.com/api-docs/index.html#operation--FetchLeagueScoreboard-get, which is the documentation page for this particular endpoint.

      -

      From here, we can see that Fleaflicker’s documentation says the endpoint and parameters are:

      -
      GET /FetchLeagueScoreboard
-
-Parameters:
-
-- sport: string NFL, MLB, NBA, NHL NFL
-(in query)
-
-- league_id: integer (int32)
-(in query)
-
-- season: integer (int32)
-(in query)
-
-- scoring_period: integer (int32)
-(in query)
      -

      The fleaflicker_getendpoint function already has the base url encoded, so all we’ll need to do is pass in the endpoint without the /, and pass the HTTP parameters in as arguments to the function (these are case sensitive!)

      -
      -sport <- "NFL"
-league_id <- 206154
-season <- 2020
-week <- 5
-
-response_scoreboard <- fleaflicker_getendpoint("FetchLeagueScoreboard",
-                                               sport = sport, 
-                                               league_id = league_id, 
-                                               season = season, 
-                                               scoring_period = week)
-#> Using request.R from "ffscrapr"
-
-str(response_scoreboard, max.level = 1)
-#> List of 3
-#>  $ content :List of 3
-#>  $ query   : chr "https://www.fleaflicker.com/api/FetchLeagueScoreboard?sport=NFL&league_id=206154&season=2020&scoring_period=5"
-#>  $ response:List of 9
-#>   ..- attr(*, "class")= chr "response"
-#>  - attr(*, "class")= chr "fleaflicker_api"
      -

      Along with the parsed content, the function also returns the query and the response that was sent by the server. These are helpful for debugging, but we can turn the content into a dataframe with some careful application of the tidyverse.

      -
      -df_scoreboard <- response_scoreboard %>% 
-  purrr::pluck("content","games") %>% 
-  tibble::tibble() %>% 
-  tidyr::unnest_wider(1) %>% 
-  dplyr::mutate_at(c("away","home"),purrr::map_chr,purrr::pluck,"franchise_name"="name") %>% 
-  dplyr::mutate_at(c("homeScore","awayScore"),purrr::map_dbl,purrr::pluck,"score","value")
-
-head(df_scoreboard)
-#> # A tibble: 6 x 8
-#>   id     away     home    awayScore homeScore homeResult awayResult isFinalScore
-#>   <chr>  <chr>    <chr>       <dbl>     <dbl> <chr>      <chr>      <lgl>       
-#> 1 46301~ Winterf~ Top Ci~      207.      162. LOSE       WIN        TRUE        
-#> 2 46301~ Goldenr~ Winter~      145.      157. WIN        LOSE       TRUE        
-#> 3 46301~ Wintert~ Clutch~      153.      192. WIN        LOSE       TRUE        
-#> 4 46301~ Manitob~ Bamend~      182.      183. WIN        LOSE       TRUE        
-#> 5 46301~ Springf~ Shangh~      176.      129. LOSE       WIN        TRUE        
-#> 6 46301~ Boomtow~ Philad~      199.      200. WIN        LOSE       TRUE
      -

      From here, we’ll be able to feed these IDs into the FetchLeagueBoxscore endpoint https://www.fleaflicker.com/api-docs/index.html#operation--FetchLeagueScoreboard-get as the fantasy_game_id - and from here you’ll be able to get to player-level points and actual stat data for each fantasy game!

      -
      -# same variables as previous endpoint call!
-onegame_lineups <- fleaflicker_getendpoint(
-  "FetchLeagueBoxscore",
-  sport = sport, 
-  league_id = league_id, 
-  # example for one call, but you can call this in a map or loop! 
-  fantasy_game_id = df_scoreboard$id[[1]], 
-  scoring_period = week) %>% 
-  purrr::pluck('content','lineups') %>% 
-  tibble::tibble() %>% 
-  tidyr::unnest_wider(1) %>% 
-  tidyr::unnest_longer('slots') %>% 
-  tidyr::unnest_wider('slots') %>% 
-  tidyr::pivot_longer(c("home","away"),names_to = "franchise",values_to = "player") %>% 
-  tidyr::unnest_wider('player')
-
-str(onegame_lineups,max.level = 2)
-#> tibble [98 x 16] (S3: tbl_df/tbl/data.frame)
-#>  $ group               : chr [1:98] "START" "START" "START" "START" ...
-#>  $ position            :List of 98
-#>  $ positionColor       :List of 98
-#>  $ franchise           : chr [1:98] "home" "away" "home" "away" ...
-#>  $ proPlayer           :List of 98
-#>  $ requestedGames      :List of 98
-#>  $ viewingActualPoints :List of 98
-#>  $ viewingActualStats  :List of 98
-#>  $ requestedGamesPeriod:List of 98
-#>  $ viewingFormat       : chr [1:98] "TOTAL" "TOTAL" "TOTAL" "TOTAL" ...
-#>  $ viewingRange        :List of 98
-#>  $ owner               :List of 98
-#>  $ displayGroup        : chr [1:98] "PASSER" "PASSER" "RUSHER" "RUSHER" ...
-#>  $ rankFantasy         :List of 98
-#>  $ rankDraft           :List of 98
-#>  $ lastX               :List of 98
      -

      From here, you can keep unravelling - including the “viewingActualPoints” and “viewingActualStats” columns!

      -
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      Developed by Tan Ho.

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      Custom API calls

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      MFL: Basics

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/mfl_basics.Rmd - - -
      - - - -

      In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on MFL.

      -

      We’ll start by loading the packages:

      -
      -  library(ffscrapr)
-  library(dplyr)
-#> 
-#> Attaching package: 'dplyr'
-#> The following objects are masked from 'package:stats':
-#> 
-#>     filter, lag
-#> The following objects are masked from 'package:base':
-#> 
-#>     intersect, setdiff, setequal, union
-  library(tidyr)
      -

      Set up the connection to the league:

      -
      -ssb <- mfl_connect(season = 2020, 
-                   league_id = 54040, # from the URL of your league
-                   rate_limit_number = 3, 
-                   rate_limit_seconds = 6)
-ssb
-#> <MFL connection 2020_54040>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2020
-#>  $ league_id  : chr "54040"
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
      -

      I’ve done this with the mfl_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions are prefixed with “ff_”.

      -

      Cool! Let’s have a quick look at what this league is like.

      -
      -ssb_summary <- ff_league(ssb)
-#> Using request.R from "ffscrapr"
-#> No encoding supplied: defaulting to UTF-8.
-#> No encoding supplied: defaulting to UTF-8.
-
-str(ssb_summary)
-#> tibble [1 x 14] (S3: tbl_df/tbl/data.frame)
-#>  $ league_id      : chr "54040"
-#>  $ league_name    : chr "The Super Smash Bros Dynasty League"
-#>  $ season         : int 2020
-#>  $ franchise_count: num 14
-#>  $ qb_type        : chr "1QB"
-#>  $ idp            : logi FALSE
-#>  $ scoring_flags  : chr "0.5_ppr, TEPrem, PP1D"
-#>  $ best_ball      : logi FALSE
-#>  $ salary_cap     : logi FALSE
-#>  $ player_copies  : num 1
-#>  $ years_active   : chr "2018-2021"
-#>  $ qb_count       : chr "1"
-#>  $ roster_size    : num 33
-#>  $ league_depth   : num 462
      -

      Okay, so it’s the Smash Bros Dynasty League, it’s a 1QB league with 14 teams, best ball scoring, half ppr and point-per-first-down settings.

      -

      Let’s grab the rosters now.

      -
      -ssb_rosters <- ff_rosters(ssb)
-#> No encoding supplied: defaulting to UTF-8.
-#> No encoding supplied: defaulting to UTF-8.
-#> No encoding supplied: defaulting to UTF-8.
-
-head(ssb_rosters)
-#> # A tibble: 6 x 11
-#>   franchise_id franchise_name player_id player_name            pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>                  <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   13189     Engram, Evan           TE    NYG    26.8
-#> 2 0001         Team Pikachu   11680     Landry, Jarvis         WR    CLE    28.5
-#> 3 0001         Team Pikachu   13645     Smith, Tre'Quan        WR    NOS    25.4
-#> 4 0001         Team Pikachu   12110     Brate, Cameron         TE    TBB    29.9
-#> 5 0001         Team Pikachu   13168     Reynolds, Josh         WR    LAR    26.3
-#> 6 0001         Team Pikachu   13793     Valdes-Scantling, Mar~ WR    GBP    26.7
-#> # ... with 4 more variables: roster_status <chr>, drafted <chr>,
-#> #   draft_year <chr>, draft_round <chr>
      -
      -

      -Values

      -

      Cool! Let’s pull in some additional context by adding DynastyProcess player values.

      -
      -player_values <- dp_values("values-players.csv")
-#> No encoding supplied: defaulting to UTF-8.
-
-# The values are stored by fantasypros ID since that's where the data comes from. 
-# To join it to our rosters, we'll need playerID mappings.
-
-player_ids <- dp_playerids() %>% 
-  select(mfl_id,fantasypros_id)
-#> No encoding supplied: defaulting to UTF-8.
-
-player_values <- player_values %>% 
-  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
-  select(mfl_id,ecr_1qb,ecr_pos,value_1qb)
-
-# Drilling down to just 1QB values and IDs, we'll be joining it onto rosters and don't need the extra stuff
-
-ssb_values <- ssb_rosters %>% 
-  left_join(player_values, by = c("player_id"="mfl_id")) %>% 
-  arrange(franchise_id,desc(value_1qb))
-
-head(ssb_values)
-#> # A tibble: 6 x 14
-#>   franchise_id franchise_name player_id player_name            pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>                  <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   14803     Edwards-Helaire, Clyde RB    KCC    22.2
-#> 2 0001         Team Pikachu   14835     Higgins, Tee           WR    CIN    22.4
-#> 3 0001         Team Pikachu   14779     Herbert, Justin        QB    LAC    23.2
-#> 4 0001         Team Pikachu   14777     Burrow, Joe            QB    CIN    24.5
-#> 5 0001         Team Pikachu   14838     Shenault, Laviska      WR    JAC    22.7
-#> 6 0001         Team Pikachu   11680     Landry, Jarvis         WR    CLE    28.5
-#> # ... with 7 more variables: roster_status <chr>, drafted <chr>,
-#> #   draft_year <chr>, draft_round <chr>, ecr_1qb <dbl>, ecr_pos <dbl>,
-#> #   value_1qb <int>
      -

      Let’s do some team summaries now!

      -
      -value_summary <- ssb_values %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(total_value = sum(value_1qb,na.rm = TRUE)) %>%
-  ungroup() %>% 
-  group_by(franchise_id,franchise_name) %>% 
-  mutate(team_value = sum(total_value)) %>% 
-  ungroup() %>% 
-  pivot_wider(names_from = pos, values_from = total_value) %>% 
-  arrange(desc(team_value))
-
-value_summary
-#> # A tibble: 14 x 7
-#>    franchise_id franchise_name     team_value    QB    RB    TE    WR
-#>    <chr>        <chr>                   <int> <int> <int> <int> <int>
-#>  1 0010         Team Yoshi              43137  4230 16375  8288 14244
-#>  2 0009         Team Link               39922  3344 11766  6445 18367
-#>  3 0004         Team Ice Climbers       38018   132 19446  3414 15026
-#>  4 0006         Team King Dedede        36417  6066  3894  1436 25021
-#>  5 0003         Team Donkey Kong        34697  1843  7569  7425 17860
-#>  6 0007         Team Kirby              30252  3843 16002   474  9933
-#>  7 0005         Team Dr. Mario          28969    36  7290  3304 18339
-#>  8 0011         Team Diddy Kong         28452   818 13559  2514 11561
-#>  9 0002         Team Simon Belmont      27776    12 12296    14 15454
-#> 10 0012         Team Mewtwo             25089   468 18246  1338  5037
-#> 11 0013         Team Ness               21949  1108 16966  1958  1917
-#> 12 0014         Team Luigi              21267  1967  4430  1013 13857
-#> 13 0001         Team Pikachu            17637  3450  6079   884  7224
-#> 14 0008         Team Bowser             14357  4739  5226    39  4353
      -

      So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages.

      -
      -value_summary_pct <- value_summary %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
-
-value_summary_pct
-#> # A tibble: 14 x 7
-#>    franchise_id franchise_name     team_value    QB    RB    TE    WR
-#>    <chr>        <chr>                   <dbl> <dbl> <dbl> <dbl> <dbl>
-#>  1 0010         Team Yoshi              0.106 0.132 0.103 0.215 0.08 
-#>  2 0009         Team Link               0.098 0.104 0.074 0.167 0.103
-#>  3 0004         Team Ice Climbers       0.093 0.004 0.122 0.089 0.084
-#>  4 0006         Team King Dedede        0.089 0.189 0.024 0.037 0.14 
-#>  5 0003         Team Donkey Kong        0.085 0.057 0.048 0.193 0.1  
-#>  6 0007         Team Kirby              0.074 0.12  0.101 0.012 0.056
-#>  7 0005         Team Dr. Mario          0.071 0.001 0.046 0.086 0.103
-#>  8 0011         Team Diddy Kong         0.07  0.026 0.085 0.065 0.065
-#>  9 0002         Team Simon Belmont      0.068 0     0.077 0     0.087
-#> 10 0012         Team Mewtwo             0.062 0.015 0.115 0.035 0.028
-#> 11 0013         Team Ness               0.054 0.035 0.107 0.051 0.011
-#> 12 0014         Team Luigi              0.052 0.061 0.028 0.026 0.078
-#> 13 0001         Team Pikachu            0.043 0.108 0.038 0.023 0.041
-#> 14 0008         Team Bowser             0.035 0.148 0.033 0.001 0.024
      -

      Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

      -
      -
      -

      -Age

      -

      Another question you might ask: what is the average age of any given team?

      -

      I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team!

      -
      -age_summary <- ssb_values %>% 
-  group_by(franchise_id,pos) %>% 
-  mutate(position_value = sum(value_1qb,na.rm=TRUE)) %>% 
-  ungroup() %>% 
-  mutate(weighted_age = age*value_1qb/position_value) %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(count = n(),
-            age = sum(weighted_age,na.rm = TRUE)) %>% 
-  pivot_wider(names_from = pos,
-              values_from = c(age,count))
-
-age_summary
-#> # A tibble: 14 x 10
-#> # Groups:   franchise_id, franchise_name [14]
-#>    franchise_id franchise_name     age_QB age_RB age_TE age_WR count_QB count_RB
-#>    <chr>        <chr>               <dbl>  <dbl>  <dbl>  <dbl>    <int>    <int>
-#>  1 0001         Team Pikachu         23.8   22.9   26.4   23.5        4        8
-#>  2 0002         Team Simon Belmont   23.1   25.2   24.9   24.4        8       11
-#>  3 0003         Team Donkey Kong     25.3   23.6   31.6   26.9        5        8
-#>  4 0004         Team Ice Climbers    29.5   25.5   26.6   27.4        5        9
-#>  5 0005         Team Dr. Mario       32.3   23.2   24.9   24.7        2        7
-#>  6 0006         Team King Dedede     25.8   26.1   26.5   25.0        3       10
-#>  7 0007         Team Kirby           24.1   25.1   29.1   28.4        4        9
-#>  8 0008         Team Bowser          26.2   26.9   33.7   28.3        4       11
-#>  9 0009         Team Link            26.3   26.3   28.3   28.3        3       11
-#> 10 0010         Team Yoshi           28.3   22.3   27.8   25.9        2        6
-#> 11 0011         Team Diddy Kong      31.9   26.7   24.2   23.8        4       12
-#> 12 0012         Team Mewtwo          31.7   24.3   24.8   24.1        5        7
-#> 13 0013         Team Ness            32.4   23.6   23.6   26.2        5        9
-#> 14 0014         Team Luigi           32.6   25.0   23.5   27.0        3       10
-#> # ... with 2 more variables: count_TE <int>, count_WR <int>
      -
      -
      -

      -Next steps

      -

      In this vignette, I’ve used three functions: ff_connect, ff_league, and ff_rosters. Now that you’ve gotten this far, why not check out some of the other possibilities?

      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
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      - - - - - diff --git a/docs/dev/articles/mfl_basics_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/mfl_basics_files/accessible-code-block-0.0.1/empty-anchor.js deleted file mode 100644 index ca349fd6..00000000 --- a/docs/dev/articles/mfl_basics_files/accessible-code-block-0.0.1/empty-anchor.js +++ /dev/null @@ -1,15 +0,0 @@ -// Hide empty tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) --> -// v0.0.1 -// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020. - -document.addEventListener('DOMContentLoaded', function() { - const codeList = document.getElementsByClassName("sourceCode"); - for (var i = 0; i < codeList.length; i++) { - var linkList = codeList[i].getElementsByTagName('a'); - for (var j = 0; j < linkList.length; j++) { - if (linkList[j].innerHTML === "") { - linkList[j].setAttribute('aria-hidden', 'true'); - } - } - } -}); diff --git a/docs/dev/articles/mfl_basics_files/header-attrs-2.3/header-attrs.js b/docs/dev/articles/mfl_basics_files/header-attrs-2.3/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/mfl_basics_files/header-attrs-2.3/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/mfl_basics_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/mfl_basics_files/header-attrs-2.7/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/mfl_basics_files/header-attrs-2.7/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/mfl_getendpoint.html b/docs/dev/articles/mfl_getendpoint.html deleted file mode 100644 index 4d47b345..00000000 --- a/docs/dev/articles/mfl_getendpoint.html +++ /dev/null @@ -1,324 +0,0 @@ - - - - - - - -MFL: Get Endpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      MFL: Get Endpoint

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/mfl_getendpoint.Rmd - - -
      - - - -
      -

      -Creating custom MFL API calls

      - -

      The MFL API is extensive. If there is something you’d like to access beyond the current scope of ffscrapr, you can use the lower-level “mfl_getendpoint” function to create a GET request and access the data, while still using the authentication and rate-limiting features I’ve already created.

      -

      Here is an example of how you can call one of the endpoints - in this case, let’s try searching for SFBX leagues through the leagueSearch endpoint.

      -

      We’ll start by opening up this page, https://api.myfantasyleague.com/2020/api_info?STATE=test&CCAT=export&TYPE=leagueSearch, which is the “test” page for this particular endpoint. From here, we can see that the only parameter required is “SEARCH”.

      -

      We need a connection object to pass into the mfl_getendpoint function, although in this example we don’t need to give it much since the endpoint doesn’t need a leagueID or username/password or APIKEY.

      -
      -conn <- mfl_connect(season = 2020)
-
-conn
-#> <MFL connection 2020_>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2020
-#>  $ league_id  : chr(0) 
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
      -

      The parameters of the mfl_getendpoint function are conn, endpoint, and any other optional parameters required by the API.

      -

      The function will automatically insert the league_id, API key, and/or authentication cookies from the connection object, and will request JSON for you - so you do not need to add any of these parameters.

      -

      It is safest to assume that everything is case-sensitive: the endpoint must match the case displayed by MFL (“leagueSearch”) and the SEARCH argument name must be provided in upper-case.

      -
      -sfb_search <- mfl_getendpoint(conn,endpoint = "leagueSearch", SEARCH = "sfbx conference")
-#> Using request.R from "ffscrapr"
-
-str(sfb_search, max.level = 1)
-#> List of 3
-#>  $ content :List of 3
-#>  $ query   : chr "https://api.myfantasyleague.com/2020/export?TYPE=leagueSearch&SEARCH=sfbx%20conference&JSON=1"
-#>  $ response:List of 9
-#>   ..- attr(*, "class")= chr "response"
-#>  - attr(*, "class")= chr "mfl_api"
      -

      The function returns a list with the query that was sent, the response that was received, and the content that was parsed - this helps you debug the result of the function later, by inspecting the query that was sent and the response that was received.

      -

      I like to extract the content with purrr::pluck and then convert it into a tibble and unnest the content from there, but you can use base R subsetting or magrittr::extract2 for the same purpose.

      -
      -search_results <- sfb_search %>% 
-  purrr::pluck("content","leagues","league") %>% 
-  tibble::tibble() %>% 
-  tidyr::unnest_wider(1)
-
-head(search_results)
-#> # A tibble: 6 x 3
-#>   homeURL                                          name                id   
-#>   <chr>                                            <chr>               <chr>
-#> 1 http://www73.myfantasyleague.com/2020/home/13411 #SFBX Conference 12 13411
-#> 2 http://www73.myfantasyleague.com/2020/home/16428 #SFBX Conference 6  16428
-#> 3 http://www73.myfantasyleague.com/2020/home/17910 #SFBX Conference 11 17910
-#> 4 http://www73.myfantasyleague.com/2020/home/26453 #SFBX Conference 8  26453
-#> 5 http://www73.myfantasyleague.com/2020/home/27495 #SFBX Conference 2  27495
-#> 6 http://www73.myfantasyleague.com/2020/home/31492 #SFBX Conference 14 31492
      -
      -
      -

      -Another Example: Trade Bait

      -

      Here’s another example, this time with the trade bait endpoint: https://api.myfantasyleague.com/2020/api_info?STATE=test&CCAT=export&TYPE=tradeBait

      -
      -fog <- mfl_connect(season = 2019, league_id = 12608)
-
-fog_tradebait <- mfl_getendpoint(fog, "tradeBait", INCLUDE_DRAFT_PICKS = 1) %>% 
-  purrr::pluck("content","tradeBaits","tradeBait") %>% 
-  tibble::tibble() %>% 
-  tidyr::unnest_wider(1) %>% 
-  tidyr::separate_rows("willGiveUp",sep = ",") %>% 
-  dplyr::mutate(timestamp = lubridate::as_datetime(as.numeric(timestamp))) %>% 
-  dplyr::left_join(
-    ff_franchises(fog) %>% dplyr::select("franchise_id","franchise_name"),
-    by = c("franchise_id")
-  ) %>% 
-  dplyr::left_join(
-    mfl_players(fog) %>% dplyr::select("player_id","player_name","pos","age","team"),
-    by = c("willGiveUp" = "player_id")
-  )
-#> No encoding supplied: defaulting to UTF-8.
-
-head(fog_tradebait)
-#> # A tibble: 6 x 9
-#>   timestamp           franchise_id willGiveUp inExchangeFor       franchise_name
-#>   <dttm>              <chr>        <chr>      <chr>               <chr>         
-#> 1 2019-11-23 14:49:15 0001         7394       "anyone need a QB?" @JohnBoschFF  
-#> 2 2019-11-23 14:49:15 0001         13128      "anyone need a QB?" @JohnBoschFF  
-#> 3 2020-02-01 05:43:29 0003         13319      ""                  The Accountant
-#> 4 2020-02-01 05:43:29 0003         13139      ""                  The Accountant
-#> 5 2020-02-01 05:43:29 0003         11675      ""                  The Accountant
-#> 6 2020-02-01 15:49:25 0004         12171      ""                  Kevin Cutillo 
-#> # ... with 4 more variables: player_name <chr>, pos <chr>, age <dbl>,
-#> #   team <chr>
      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - diff --git a/docs/dev/articles/mfl_getendpoint_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/mfl_getendpoint_files/accessible-code-block-0.0.1/empty-anchor.js deleted file mode 100644 index ca349fd6..00000000 --- a/docs/dev/articles/mfl_getendpoint_files/accessible-code-block-0.0.1/empty-anchor.js +++ /dev/null @@ -1,15 +0,0 @@ -// Hide empty tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) --> -// v0.0.1 -// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020. - -document.addEventListener('DOMContentLoaded', function() { - const codeList = document.getElementsByClassName("sourceCode"); - for (var i = 0; i < codeList.length; i++) { - var linkList = codeList[i].getElementsByTagName('a'); - for (var j = 0; j < linkList.length; j++) { - if (linkList[j].innerHTML === "") { - linkList[j].setAttribute('aria-hidden', 'true'); - } - } - } -}); diff --git a/docs/dev/articles/mfl_getendpoint_files/header-attrs-2.3/header-attrs.js b/docs/dev/articles/mfl_getendpoint_files/header-attrs-2.3/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/mfl_getendpoint_files/header-attrs-2.3/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/mfl_getendpoint_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/mfl_getendpoint_files/header-attrs-2.7/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/mfl_getendpoint_files/header-attrs-2.7/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/sleeper_basics.html b/docs/dev/articles/sleeper_basics.html deleted file mode 100644 index ece2f1d5..00000000 --- a/docs/dev/articles/sleeper_basics.html +++ /dev/null @@ -1,448 +0,0 @@ - - - - - - - -Sleeper: Basics • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      Sleeper: Basics

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/sleeper_basics.Rmd - - -
      - - - -

      In this vignette, I’ll walk through how to get started with a basic dynasty value analysis on Sleeper.

      -

      We’ll start by loading the packages:

      - -

      In Sleeper, unlike in other platforms, it’s very unlikely that you’ll remember the league ID - both because most people use the mobile app, and because it happens to be an 18 digit number! It’s a little more natural to start analyses from the username, so let’s start there!

      -
      -solarpool_leagues <- sleeper_userleagues("solarpool",2020)
-#> Using request.R from "ffscrapr"
-#> No encoding supplied: defaulting to UTF-8.
-#> No encoding supplied: defaulting to UTF-8.
-
-head(solarpool_leagues)
-#> # A tibble: 3 x 4
-#>   league_name                   league_id        franchise_name franchise_id    
-#>   <chr>                         <chr>            <chr>          <chr>           
-#> 1 z_dynastyprocess-test         633501761776197~ solarpool      202892038360801~
-#> 2 The JanMichaelLarkin Dynasty~ 522458773317046~ solarpool      202892038360801~
-#> 3 DLP Dynasty League            521379020332068~ DLP::thoriyan  202892038360801~
      -

      Let’s pull the JML league ID from here for analysis, and set up a Sleeper connection object.

      -
      -jml_id <- solarpool_leagues %>% 
-  filter(league_name == "The JanMichaelLarkin Dynasty League") %>% 
-  pull(league_id)
-
-jml_id # For quick analyses, I'm not above copy-pasting the league ID instead!
-#> [1] "522458773317046272"
-
-jml <- sleeper_connect(season = 2020, league_id = jml_id)
-
-jml
-#> <Sleeper connection 2020_522458773317046272>
-#> List of 5
-#>  $ platform : chr "Sleeper"
-#>  $ season   : num 2020
-#>  $ user_name: NULL
-#>  $ league_id: chr "522458773317046272"
-#>  $ user_id  : NULL
-#>  - attr(*, "class")= chr "sleeper_conn"
      -

      I’ve done this with the sleeper_connect() function, although you can also do this from the ff_connect() call - they are equivalent. Most if not all of the remaining functions after this point are prefixed with “ff_”.

      -

      Cool! Let’s have a quick look at what this league is like.

      -
      -jml_summary <- ff_league(jml)
-#> No encoding supplied: defaulting to UTF-8.
-
-str(jml_summary)
-#> tibble [1 x 16] (S3: tbl_df/tbl/data.frame)
-#>  $ league_id      : chr "522458773317046272"
-#>  $ league_name    : chr "The JanMichaelLarkin Dynasty League"
-#>  $ season         : int 2020
-#>  $ league_type    : chr "dynasty"
-#>  $ franchise_count: num 12
-#>  $ qb_type        : chr "1QB"
-#>  $ idp            : logi FALSE
-#>  $ scoring_flags  : chr "0.5_ppr"
-#>  $ best_ball      : logi FALSE
-#>  $ salary_cap     : logi FALSE
-#>  $ player_copies  : num 1
-#>  $ years_active   : chr "2019-2020"
-#>  $ qb_count       : chr "1"
-#>  $ roster_size    : int 25
-#>  $ league_depth   : num 300
-#>  $ prev_league_ids: chr "386236959468675072"
      -

      Okay, so it’s the JanMichaelLarkin Dynasty League, it’s a 1QB league with 12 teams, half ppr scoring, and rosters about 300 players.

      -

      Let’s grab the rosters now.

      -
      -jml_rosters <- ff_rosters(jml)
-#> No encoding supplied: defaulting to UTF-8.
-#> No encoding supplied: defaulting to UTF-8.
-#> No encoding supplied: defaulting to UTF-8.
-#> No encoding supplied: defaulting to UTF-8.
-
-head(jml_rosters)
-#> # A tibble: 6 x 7
-#>   franchise_id franchise_name player_id player_name     pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>           <chr> <chr> <dbl>
-#> 1 1            Fake News      1110      T.Y. Hilton     WR    IND    31.6
-#> 2 1            Fake News      1339      Zach Ertz       TE    PHI    30.6
-#> 3 1            Fake News      1426      DeAndre Hopkins WR    ARI    29  
-#> 4 1            Fake News      1825      Jarvis Landry   WR    CLE    28.5
-#> 5 1            Fake News      2025      Albert Wilson   WR    MIA    28.9
-#> 6 1            Fake News      2197      Brandin Cooks   WR    HOU    27.7
      -
      -

      -Values

      -

      Cool! Let’s pull in some additional context by adding DynastyProcess player values.

      -
      -player_values <- dp_values("values-players.csv")
-#> No encoding supplied: defaulting to UTF-8.
-
-# The values are stored by fantasypros ID since that's where the data comes from. 
-# To join it to our rosters, we'll need playerID mappings.
-
-player_ids <- dp_playerids() %>% 
-  select(sleeper_id,fantasypros_id)
-#> No encoding supplied: defaulting to UTF-8.
-
-player_values <- player_values %>% 
-  left_join(player_ids, by = c("fp_id" = "fantasypros_id")) %>% 
-  select(sleeper_id,ecr_1qb,ecr_pos,value_1qb)
-
-# Drilling down to just 1QB values and IDs, we'll be joining it onto rosters and don't need the extra stuff
-
-jml_values <- jml_rosters %>% 
-  left_join(player_values, by = c("player_id"="sleeper_id")) %>% 
-  arrange(franchise_id,desc(value_1qb))
-
-head(jml_values)
-#> # A tibble: 6 x 10
-#>   franchise_id franchise_name player_id player_name    pos   team    age ecr_1qb
-#>   <chr>        <chr>          <chr>     <chr>          <chr> <chr> <dbl>   <dbl>
-#> 1 1            Fake News      4866      Saquon Barkley RB    NYG    24.3     3.2
-#> 2 1            Fake News      1426      DeAndre Hopki~ WR    ARI    29      17.2
-#> 3 1            Fake News      4199      Aaron Jones    RB    GB     26.5    21.5
-#> 4 1            Fake News      4037      Chris Godwin   WR    TB     25.3    31.7
-#> 5 1            Fake News      4017      Deshaun Watson QB    HOU    25.7    52.2
-#> 6 1            Fake News      4098      Kareem Hunt    RB    CLE    25.8    57  
-#> # ... with 2 more variables: ecr_pos <dbl>, value_1qb <int>
      -

      Let’s do some team summaries now!

      -
      -value_summary <- jml_values %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(total_value = sum(value_1qb,na.rm = TRUE)) %>%
-  ungroup() %>% 
-  group_by(franchise_id,franchise_name) %>% 
-  mutate(team_value = sum(total_value)) %>% 
-  ungroup() %>% 
-  pivot_wider(names_from = pos, values_from = total_value) %>% 
-  arrange(desc(team_value))
-
-value_summary
-#> # A tibble: 12 x 8
-#>    franchise_id franchise_name    team_value    QB    RB    TE    WR    FB
-#>    <chr>        <chr>                  <int> <int> <int> <int> <int> <int>
-#>  1 3            solarpool              47413  7134 23965   722 15592    NA
-#>  2 11           Permian Panthers       44224  3268 13604  7280 20072    NA
-#>  3 4            The FANTom Menace      44217  2884  9596  2377 29360    NA
-#>  4 1            Fake News              43470  3457 20135  3454 16424    NA
-#>  5 8            Hocka Flocka           38742  1450 21482  2352 13458    NA
-#>  6 12           jaydk                  36636  1885 18415  3518 12818    NA
-#>  7 5            Barbarians             33947  3207 19473  5680  5587    NA
-#>  8 6            sox05syd               31538  3458  4917  8830 14333    NA
-#>  9 9            ZPMiller97             27327  2414 12715  2141 10057    NA
-#> 10 7            Flipadelphia05         22434  2316  7814  1181 11123    NA
-#> 11 2            KingGabe               21067   101  6726    17 14223    NA
-#> 12 10           JMLarkin               16745   449   109   962 15225     0
      -

      So with that, we’ve got a team summary of values! I like applying some context, so let’s turn these into percentages - this helps normalise it to your league environment.

      -
      -value_summary_pct <- value_summary %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),~.x/sum(.x)) %>% 
-  mutate_at(c("team_value","QB","RB","WR","TE"),round, 3)
-
-value_summary_pct
-#> # A tibble: 12 x 8
-#>    franchise_id franchise_name    team_value    QB    RB    TE    WR    FB
-#>    <chr>        <chr>                  <dbl> <dbl> <dbl> <dbl> <dbl> <int>
-#>  1 3            solarpool              0.116 0.223 0.151 0.019 0.087    NA
-#>  2 11           Permian Panthers       0.108 0.102 0.086 0.189 0.113    NA
-#>  3 4            The FANTom Menace      0.108 0.09  0.06  0.062 0.165    NA
-#>  4 1            Fake News              0.107 0.108 0.127 0.09  0.092    NA
-#>  5 8            Hocka Flocka           0.095 0.045 0.135 0.061 0.075    NA
-#>  6 12           jaydk                  0.09  0.059 0.116 0.091 0.072    NA
-#>  7 5            Barbarians             0.083 0.1   0.123 0.147 0.031    NA
-#>  8 6            sox05syd               0.077 0.108 0.031 0.229 0.08     NA
-#>  9 9            ZPMiller97             0.067 0.075 0.08  0.056 0.056    NA
-#> 10 7            Flipadelphia05         0.055 0.072 0.049 0.031 0.062    NA
-#> 11 2            KingGabe               0.052 0.003 0.042 0     0.08     NA
-#> 12 10           JMLarkin               0.041 0.014 0.001 0.025 0.085     0
      -

      Armed with a value summary like this, we can see team strengths and weaknesses pretty quickly, and figure out who might be interested in your positional surpluses and who might have a surplus at a position you want to look at.

      -
      -
      -

      -Age

      -

      Another question you might ask: what is the average age of any given team?

      -

      I like looking at average age by position, but weighted by dynasty value. This helps give a better idea of age for each team - including who might be looking to offload an older veteran!

      -
      -age_summary <- jml_values %>% 
-  group_by(franchise_id,pos) %>% 
-  mutate(position_value = sum(value_1qb,na.rm=TRUE)) %>% 
-  ungroup() %>% 
-  mutate(weighted_age = age*value_1qb/position_value,
-         weighted_age = round(weighted_age, 1)) %>% 
-  group_by(franchise_id,franchise_name,pos) %>% 
-  summarise(count = n(),
-            age = sum(weighted_age,na.rm = TRUE)) %>% 
-  pivot_wider(names_from = pos,
-              values_from = c(age,count))
-
-age_summary
-#> # A tibble: 12 x 12
-#> # Groups:   franchise_id, franchise_name [12]
-#>    franchise_id franchise_name    age_QB age_RB age_TE age_WR age_FB count_QB
-#>    <chr>        <chr>              <dbl>  <dbl>  <dbl>  <dbl>  <dbl>    <int>
-#>  1 1            Fake News           26.5   25.3   26     27.7     NA        3
-#>  2 10           JMLarkin            28.4   27.5   26     25.4      0        3
-#>  3 11           Permian Panthers    24.2   23.2   31.5   25.8     NA        4
-#>  4 12           jaydk               31.8   25.6   25.9   28.0     NA        4
-#>  5 2            KingGabe            27     22.5   26.7   22.3     NA        5
-#>  6 3            solarpool           25.5   25.5   26.5   27.7     NA        5
-#>  7 4            The FANTom Menace   28.4   24.7   24.4   26.8     NA        5
-#>  8 5            Barbarians          25.2   24.4   28.5   26.9     NA        3
-#>  9 6            sox05syd            23.8   23.9   27.3   25.4     NA        3
-#> 10 7            Flipadelphia05      33     25.1   27.4   26.6     NA        2
-#> 11 8            Hocka Flocka        31.5   24.2   23.9   23.7     NA        3
-#> 12 9            ZPMiller97          24.6   23.9   26.6   24.9     NA        3
-#> # ... with 4 more variables: count_RB <int>, count_TE <int>, count_WR <int>,
-#> #   count_FB <int>
      -
      -
      -

      -Next steps

      -

      In this vignette, I’ve used ~three functions: ff_connect, ff_league, and ff_rosters. Now that you’ve gotten this far, why not check out some of the other possibilities?

      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
      - -
      -
      - - - - - diff --git a/docs/dev/articles/sleeper_basics_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/dev/articles/sleeper_basics_files/accessible-code-block-0.0.1/empty-anchor.js deleted file mode 100644 index ca349fd6..00000000 --- a/docs/dev/articles/sleeper_basics_files/accessible-code-block-0.0.1/empty-anchor.js +++ /dev/null @@ -1,15 +0,0 @@ -// Hide empty tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) --> -// v0.0.1 -// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020. - -document.addEventListener('DOMContentLoaded', function() { - const codeList = document.getElementsByClassName("sourceCode"); - for (var i = 0; i < codeList.length; i++) { - var linkList = codeList[i].getElementsByTagName('a'); - for (var j = 0; j < linkList.length; j++) { - if (linkList[j].innerHTML === "") { - linkList[j].setAttribute('aria-hidden', 'true'); - } - } - } -}); diff --git a/docs/dev/articles/sleeper_basics_files/header-attrs-2.3/header-attrs.js b/docs/dev/articles/sleeper_basics_files/header-attrs-2.3/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/sleeper_basics_files/header-attrs-2.3/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/sleeper_basics_files/header-attrs-2.7/header-attrs.js b/docs/dev/articles/sleeper_basics_files/header-attrs-2.7/header-attrs.js deleted file mode 100644 index dd57d92e..00000000 --- a/docs/dev/articles/sleeper_basics_files/header-attrs-2.7/header-attrs.js +++ /dev/null @@ -1,12 +0,0 @@ -// Pandoc 2.9 adds attributes on both header and div. We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/docs/dev/articles/sleeper_getendpoint.html b/docs/dev/articles/sleeper_getendpoint.html deleted file mode 100644 index cd80046d..00000000 --- a/docs/dev/articles/sleeper_getendpoint.html +++ /dev/null @@ -1,310 +0,0 @@ - - - - - - - -Sleeper: Get Endpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - - -
      -
      -
      -

      Sleeper: Get Endpoint

      -

      Tan Ho

      - -

      2021-06-09

      - - Source: vignettes/sleeper_getendpoint.Rmd - - -
      - - - -
      -

      -Creating custom Sleeper API calls

      - -

      The Sleeper API is pretty extensive. If there is something you’d like to access that’s beyond the current scope of ffscrapr, you can use the lower-level “sleeper_getendpoint” function to create a GET request and access the data, while still using the authentication and rate-limiting features I’ve already created.

      -

      Here is an example of how you can call one of the endpoints - in this case, let’s pull Sleeper’s trending players data!

      -

      We’ll start by opening up this page, https://docs.sleeper.app/#trending-players, which is the documentation page for this particular endpoint. From here, we can see that Sleeper’s documentation says the endpoint is:

      -

      https://api.sleeper.app/v1/players/<sport>/trending/<type>?lookback_hours=<hours>&limit=<int>

      -

      On first glance, you can see that it takes two parameters within the endpoint call itself (sport and type) and we can further adjust the query with HTTP parameters lookback_hours and limit. The sleeper_getendpoint function already has the https://api.sleeper.app/v1/ part encoded, so all we’ll need to do is pass in the remaining part of the URL as the endpoint, and pass the HTTP parameters in as arguments to the function (these are case sensitive!)

      -

      We can use the glue package to parameterise this, although you can also use base R’s paste function just as easily.

      -
      -
-type <- "add"
-
-query <- glue::glue('players/nfl/trending/{type}')
-
-query
-#> players/nfl/trending/add
-
-response_trending <- sleeper_getendpoint(query,lookback_hours = 48, limit = 10)
-#> Using request.R from "ffscrapr"
-
-str(response_trending, max.level = 1)
-#> List of 3
-#>  $ content :List of 10
-#>  $ query   : chr "https://api.sleeper.app/v1/players/nfl/trending/add?lookback_hours=48&limit=10"
-#>  $ response:List of 9
-#>   ..- attr(*, "class")= chr "response"
-#>  - attr(*, "class")= chr "sleeper_api"
      -

      Along with the parsed content, the function also returns the query and the response that was sent by the server. These are helpful for debugging, but we can turn the content into a dataframe with some careful application of the tidyverse.

      -
      -
-df_trending <- response_trending %>% 
-  purrr::pluck("content") %>% 
-  dplyr::bind_rows()
-
-head(df_trending)
-#> # A tibble: 6 x 2
-#>   player_id  count
-#>   <chr>      <int>
-#> 1 4187      270285
-#> 2 6156      142272
-#> 3 1169      129162
-#> 4 5100       84788
-#> 5 4381       64578
-#> 6 333        62680
      -

      This isn’t very helpful without knowing who these players are, so let’s pull the players endpoint in as well - this one has a convenient function!

      -
      -
-players <- sleeper_players() %>% 
-  select(player_id, player_name, pos, team, age)
-#> No encoding supplied: defaulting to UTF-8.
-
-trending <- df_trending %>% 
-  left_join(players, by = "player_id")
-
-trending
-#> # A tibble: 10 x 6
-#>    player_id  count player_name       pos   team    age
-#>    <chr>      <int> <chr>             <chr> <chr> <dbl>
-#>  1 4187      270285 Brian Hill        RB    TEN    25.6
-#>  2 6156      142272 Benny Snell       RB    PIT    23.3
-#>  3 1169      129162 Robert Griffin    QB    BAL    31.3
-#>  4 5100       84788 Jordan Wilkins    RB    IND    26.9
-#>  5 4381       64578 Taysom Hill       QB    NO     30.8
-#>  6 333        62680 Ryan Fitzpatrick  QB    WAS    38.5
-#>  7 NYG        57945 <NA>              DEF   NYG    NA  
-#>  8 4147       52537 Samaje Perine     RB    CIN    25.7
-#>  9 3976       50102 Mitchell Trubisky QB    BUF    26.8
-#> 10 943        45866 Kyle Rudolph      TE    NYG    31.6
      -

      There - this means something to us now! As of this writing (2020-11-10), Kalen Ballage was the most added player. Haven’t we been bitten by this before?

      -
      -
      - - - -
      - - - -
      -

      Developed by Tan Ho.

      -
      - -
      -

      Site built with pkgdown 1.6.1.

      -
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      -
      - - - - -
      - -
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      Authors

      -
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        -
      • -

        Tan Ho. Author, maintainer. -

        -
        • -
      • -

        Tony ElHabr. Contributor. -

        -
        • -
      • -

        Joe Sydlowski. Contributor. -

        -
        • -
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      Developed by Tan Ho.

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- -webkit-box-flex: 1; - -ms-flex: 1; - flex: 1 -} - -.algolia-autocomplete .ds-dropdown-menu { - width: 100%; - min-width: none; - max-width: none; - padding: .75rem 0; - background-color: #fff; - background-clip: padding-box; - border: 1px solid rgba(0, 0, 0, .1); - box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175); -} - -@media (min-width:768px) { - .algolia-autocomplete .ds-dropdown-menu { - width: 175% - } -} - -.algolia-autocomplete .ds-dropdown-menu::before { - display: none -} - -.algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] { - padding: 0; - background-color: rgb(255,255,255); - border: 0; - max-height: 80vh; -} - -.algolia-autocomplete .ds-dropdown-menu .ds-suggestions { - margin-top: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion { - padding: 0; - overflow: visible -} - -.algolia-autocomplete .algolia-docsearch-suggestion--category-header { - padding: .125rem 1rem; - margin-top: 0; - font-size: 1.3em; - font-weight: 500; - color: #00008B; - border-bottom: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--wrapper { - float: none; - padding-top: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column { - float: none; - width: auto; - padding: 0; - text-align: left -} - -.algolia-autocomplete .algolia-docsearch-suggestion--content { - float: none; - width: auto; - padding: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--content::before { - display: none -} - -.algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header { - padding-top: .75rem; - margin-top: .75rem; - border-top: 1px solid rgba(0, 0, 0, .1) -} - -.algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column { - display: block; - padding: .1rem 1rem; - margin-bottom: 0.1; - font-size: 1.0em; - font-weight: 400 - /* display: none */ -} - -.algolia-autocomplete .algolia-docsearch-suggestion--title { - display: block; - padding: .25rem 1rem; - margin-bottom: 0; - font-size: 0.9em; - font-weight: 400 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--text { - padding: 0 1rem .5rem; - margin-top: -.25rem; - font-size: 0.8em; - font-weight: 400; - line-height: 1.25 -} - -.algolia-autocomplete .algolia-docsearch-footer { - width: 110px; - height: 20px; - z-index: 3; - margin-top: 10.66667px; - float: right; - font-size: 0; - line-height: 0; -} - -.algolia-autocomplete .algolia-docsearch-footer--logo { - background-image: url("data:image/svg+xml;utf8,"); - background-repeat: no-repeat; - background-position: 50%; - background-size: 100%; - overflow: hidden; - text-indent: -9000px; - width: 100%; - height: 100%; - display: block; - transform: translate(-8px); -} - -.algolia-autocomplete .algolia-docsearch-suggestion--highlight { - color: #FF8C00; - background: rgba(232, 189, 54, 0.1) -} - - -.algolia-autocomplete .algolia-docsearch-suggestion--text .algolia-docsearch-suggestion--highlight { - box-shadow: inset 0 -2px 0 0 rgba(105, 105, 105, .5) -} - -.algolia-autocomplete .ds-suggestion.ds-cursor .algolia-docsearch-suggestion--content { - background-color: rgba(192, 192, 192, .15) -} diff --git a/docs/dev/docsearch.js b/docs/dev/docsearch.js deleted file mode 100644 index b35504cd..00000000 --- a/docs/dev/docsearch.js +++ /dev/null @@ -1,85 +0,0 @@ -$(function() { - - // register a handler to move the focus to the search bar - // upon pressing shift + "/" (i.e. "?") - $(document).on('keydown', function(e) { - if (e.shiftKey && e.keyCode == 191) { - e.preventDefault(); - $("#search-input").focus(); - } - }); - - $(document).ready(function() { - // do keyword highlighting - /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */ - var mark = function() { - - var referrer = document.URL ; - var paramKey = "q" ; - - if (referrer.indexOf("?") !== -1) { - var qs = referrer.substr(referrer.indexOf('?') + 1); - var qs_noanchor = qs.split('#')[0]; - var qsa = qs_noanchor.split('&'); - var keyword = ""; - - for (var i = 0; i < qsa.length; i++) { - var currentParam = qsa[i].split('='); - - if (currentParam.length !== 2) { - continue; - } - - if (currentParam[0] == paramKey) { - keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20")); - } - } - - if (keyword !== "") { - $(".contents").unmark({ - done: function() { - $(".contents").mark(keyword); - } - }); - } - } - }; - - mark(); - }); -}); - -/* Search term highlighting ------------------------------*/ - -function matchedWords(hit) { - var words = []; - - var hierarchy = hit._highlightResult.hierarchy; - // loop to fetch from lvl0, lvl1, etc. - for (var idx in hierarchy) { - words = words.concat(hierarchy[idx].matchedWords); - } - - var content = hit._highlightResult.content; - if (content) { - words = words.concat(content.matchedWords); - } - - // return unique words - var words_uniq = [...new Set(words)]; - return words_uniq; -} - -function updateHitURL(hit) { - - var words = matchedWords(hit); - var url = ""; - - if (hit.anchor) { - url = hit.url_without_anchor + '?q=' + escape(words.join(" ")) + '#' + hit.anchor; - } else { - url = hit.url + '?q=' + escape(words.join(" ")); - } - - return url; -} diff --git a/docs/dev/docsearch.json b/docs/dev/docsearch.json deleted file mode 100644 index 153eb393..00000000 --- a/docs/dev/docsearch.json +++ /dev/null @@ -1,95 +0,0 @@ -{ - "index_name": "dynastyprocess", - "start_urls": [ - { - "url": "ffscrapr.dynastyprocess.com/index.html", - "selectors_key": "homepage", - "tags": [ - "homepage" - ] - }, - { - "url": "ffscrapr.dynastyprocess.com/reference", - "selectors_key": "reference", - "tags": [ - "reference" - ] - }, - { - "url": "ffscrapr.dynastyprocess.com/articles", - "selectors_key": "articles", - "tags": [ - "articles" - ] - } - ], - "stop_urls": [ - "/reference/$", - "/reference/index.html", - "/articles/$", - "/articles/index.html" - ], - "sitemap_urls": [ - "ffscrapr.dynastyprocess.com/sitemap.xml" - ], - "selectors": { - "homepage": { - "lvl0": { - "selector": ".contents h1", - "default_value": "ffscrapr Home page" - }, - "lvl1": { - "selector": ".contents h2" - }, - "lvl2": { - "selector": ".contents h3", - "default_value": "Context" - }, - "lvl3": ".ref-arguments td, .ref-description", - "text": ".contents p, .contents li, .contents .pre" - }, - "reference": { - "lvl0": { - "selector": ".contents h1" - }, - "lvl1": { - "selector": ".contents .name", - "default_value": "Argument" - }, - "lvl2": { - "selector": ".ref-arguments th", - "default_value": "Description" - }, - "lvl3": ".ref-arguments td, .ref-description", - "text": ".contents p, .contents li" - }, - "articles": { - "lvl0": { - "selector": ".contents h1" - }, - "lvl1": { - "selector": ".contents .name" - }, - "lvl2": { - "selector": ".contents h2, .contents h3", - "default_value": "Context" - }, - "text": ".contents p, .contents li" - } - }, - "selectors_exclude": [ - ".dont-index" - ], - "min_indexed_level": 2, - "custom_settings": { - "separatorsToIndex": "_", - "attributesToRetrieve": [ - "hierarchy", - "content", - "anchor", - "url", - "url_without_anchor" - ] - } -} - diff --git a/docs/dev/extra.css b/docs/dev/extra.css deleted file mode 100644 index 1433b08c..00000000 --- a/docs/dev/extra.css +++ /dev/null @@ -1,29 +0,0 @@ -@import 'https://fonts.googleapis.com/css?family=Fira+Mono:400,700|family=IBM+Plex+Sans:400,700'; 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        -
        - - - - -
        -
        -
        -

        -ffscrapr -

        -

        An R Client for Fantasy Football League APIs

        - - - -

        Helps access various Fantasy Football APIs (currently MFL, Sleeper, Fleaflicker, and ESPN - eventually Yahoo, potentially others) by handling authentication/rate-limiting/caching, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.

        -
        -

        -Installation

        -

        Version 1.4.2 is now on CRAN 🎉 and can be installed with:

        -
        -install.packages("ffscrapr")
-# or from GitHub release with the remotes package via:
-# install.packages("remotes")
-remotes::install_github("dynastyprocess/ffscrapr", ref = "v1.4.2")
        -

        Install the development version from GitHub with:

        -
        -remotes::install_github("dynastyprocess/ffscrapr", ref = "dev")
        -

        The dev version has a separate documentation site here.

        -
        -
        -

        -Usage

        -

        All ffscrapr functions start with a connection object created by ff_connect(), which stores connection, authentication, and other user-defined parameters. This object is used by all other functions to help return the correct data.

        -
        -library(ffscrapr)
-ssb <- ff_connect(platform = "mfl", league_id = "54040", season = 2020)
-
-# Get a summary of league settings
-ff_league(ssb) %>% str()
-#> tibble [1 x 14] (S3: tbl_df/tbl/data.frame)
-#>  $ league_id      : chr "54040"
-#>  $ league_name    : chr "The Super Smash Bros Dynasty League"
-#>  $ season         : int 2020
-#>  $ franchise_count: num 14
-#>  $ qb_type        : chr "1QB"
-#>  $ idp            : logi FALSE
-#>  $ scoring_flags  : chr "0.5_ppr, TEPrem, PP1D"
-#>  $ best_ball      : logi FALSE
-#>  $ salary_cap     : logi FALSE
-#>  $ player_copies  : num 1
-#>  $ years_active   : chr "2018-2021"
-#>  $ qb_count       : chr "1"
-#>  $ roster_size    : num 33
-#>  $ league_depth   : num 462
-
-# Get rosters
-ff_rosters(ssb)
-#> # A tibble: 442 x 11
-#>   franchise_id franchise_name player_id player_name     pos   team    age
-#>   <chr>        <chr>          <chr>     <chr>           <chr> <chr> <dbl>
-#> 1 0001         Team Pikachu   13189     Engram, Evan    TE    NYG    26.8
-#> 2 0001         Team Pikachu   11680     Landry, Jarvis  WR    CLE    28.5
-#> 3 0001         Team Pikachu   13645     Smith, Tre'Quan WR    NOS    25.4
-#> 4 0001         Team Pikachu   12110     Brate, Cameron  TE    TBB    29.9
-#> 5 0001         Team Pikachu   13168     Reynolds, Josh  WR    LAR    26.3
-#> # ... with 437 more rows, and 4 more variables: roster_status <chr>,
-#> #   drafted <chr>, draft_year <chr>, draft_round <chr>
-
-# Get transactions
-ff_transactions(ssb)
-#> # A tibble: 152 x 12
-#>   timestamp           type       type_desc franchise_id franchise_name   
-#>   <dttm>              <chr>      <chr>     <chr>        <chr>            
-#> 1 2020-07-09 17:25:20 FREE_AGENT dropped   0004         Team Ice Climbers
-#> 2 2020-07-09 17:25:20 FREE_AGENT dropped   0004         Team Ice Climbers
-#> 3 2020-06-16 01:56:49 TAXI       promoted  0014         Team Luigi       
-#> 4 2020-06-16 01:56:49 TAXI       demoted   0014         Team Luigi       
-#> 5 2020-06-12 23:51:44 FREE_AGENT dropped   0010         Team Yoshi       
-#> # ... with 147 more rows, and 7 more variables: player_id <chr>,
-#> #   player_name <chr>, pos <chr>, team <chr>, bbid_spent <dbl>,
-#> #   trade_partner <chr>, comments <chr>
        -

        Platform-specific guides on getting started with ffscrapr are here:

        - -

        There are also some more advanced guides for custom API calls in the Articles section, as well as some guides on optimizing ffscrapr’s performance.

        -
        -
        -

        -Contributing

        -

        Many hands make light work! Here are some ways you can contribute to this project:

        - -
        -
        -

        -Terms of Use

        -

        The R code for this package is released as open source under the MIT license.

        -

        The APIs and data accessed by this package belong to their respective owners, and are governed by their terms of use.

        -
        -
        -
        - - -
        - - -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
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file mode 100644 index cf4f6774..00000000 --- a/docs/dev/news/index.html +++ /dev/null @@ -1,608 +0,0 @@ - - - - - - - - -Changelog • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        Changelog

        - Source: NEWS.md -
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        -ffscrapr (development version) Unreleased -

        -
        -

        -Minor changes

        -
          -
        • -ff_league() now has a column that returns the platform’s season - this is most useful when running ff_league in batch. Thank you to @joeflan for the contribution! (Fixes #287) (v1.4.2.01)
          • -
        • Added helper script in dev/ for switching between test cache versions. (v1.4.2.02)
          • -
        • -ff_schedule() for Sleeper now should extend into playoff weeks. (Fixes #289) (v1.4.2.03)
          • -
        • -ff_draft() for Sleeper now has an auction_amount column if it is an auction draft. (Fixes #291) (v1.4.2.04)
          • -
        • -dp_cleannames() now can flip names originally presented in LastName, FirstName order into First Last, and also has a custom name database to convert common alternate names to a unified one. (v1.4.2.05)
          • -
        • -nflfastr_stat_mapping and dp_name_mapping are namespaced within the package, so that they can be used internally and externally a little more robustly. (v1.4.2.06)
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        -ffscrapr 1.4.2 2021-05-10 -

        -

        The main goal of v1.4.2 is to patch some minor bugs.

        -
        -

        -Minor changes

        -
          -
        • -espn_rosters now has a week argument to return a specific week of data. (Fixes #276, thanks @scottfrechette!)
          • -
        • -ff_scoringhistory now tries to return a platform-specific player ID, where available. (Fixes #275)
          • -
        • Roxygen configured to use markdown (with the roxygen2md package) - hopefully fixes the lifecycle badge issues?
          • -
        • -sleeper_players() - gsis_id gets str_squish applied to it to resolve some stowaway whitespaces.
          • -
        • -mfl_players() - add any_of handling for columns to handle column name changes.
          • -
        • -sleeper_transactions now handles offseason transactions correctly
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        -ffscrapr 1.4.1 2021-04-18 -

        -

        The main goal of v1.4.1 is to patch some issues raised by CRAN checks and also correct some bugs in the new experimental ff_scoringhistory and ff_starter_positions functions released in v1.4.0.

        -
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        -New features

        -
          -
        • -nflfastr_stat_mapping is a dataframe that maps nflfastr columns to fantasy scoring rules, and is now exported for end-user usage. It is primarily used inside of ff_scoringhistory().
          • -
        -
        -
        -

        -Minor changes

        -
          -
        • Added release_questions to help remind me to maintain test infrastructure
          • -
        • -mfl_starter_positions now correctly calculates offensive starters (first via “iop_starters” if defined and then otherwise by subtracting idp starters) as well as kdst_starters (Resolves #264)
          • -
        • Redirected nflfastr download functions to the new nflverse/ repository locations. (Resolves #268)
          • -
        • -.ffscrapr_env relocated from being a child of the base environment to being a child of the empty environment (Resolves #269)
          • -
        • -ff_scoringhistory refactored and adds better support for MFL’s fumbles and firstdowns. (Resolves #265)
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        -ffscrapr 1.4.0 2021-04-13 -

        -

        The main goal of v1.4.0 is to add preliminary support for connecting ffscrapr to nflfastR weekly data, and to clean up bugs from v1.3.0. Huge thanks goes to Joe Sydlowski for his contributions on scoring history (and everything else DynastyProcess!)

        -
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        -New Features

        -
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        • -nflfastr_weekly() imports weekly offensive statistics from nflfastR’s data repository.
          • -
        • -nflfastr_rosters() imports team rosters from nflfastR’s roster repository.
          • -
        • -ff_scoringhistory() connects your league’s scoring settings to the nflfastr data (c/o the functions above), and allows you to reconstruct historical scoring for your league!
          • -
        • -ff_starter_positions() describes the starter rules for each player/position, including min and max starters at each position accounting for flex spots. This should be useful for calculating things like value over replacement!
          • -
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        -Breaking Changes

        -
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        • -ff_scoring for ESPN loses the “override_pos” which only had a value of 16 for D/ST specific rules
          • -
        • -ff_scoring rules for ESPN and Sleeper have been expanded from one line per rule to one line per position per rule
          • -
        -
        -
        -

        -Minor Changes

        -
          -
        • Force mfl_playerscores to use season + league specific players call where possible (#239)
          • -
        • Reduce minimum rows for flea_rosters test to 200, which fixes an API check issue (#242)
          • -
        • Switching memoise backend to cachem package, fixes CRAN check issue where digest is no longer imported by memoise. Cachem also apparently more performant! (#244)
          • -
        • -sleeper_transactions now correctly handles multiple dropped players in one transaction. (#246).
          • -
        • -mfl_transactions - adds numeric string parsing to fix bug in auction bid amount (#)
          • -
        • -mfl_draft now calculates age as of timestamp and also adds an overall column. (#259, #260)
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        -ffscrapr 1.3.0 2021-03-07 -

        -

        The main goal of ffscrapr 1.3.0 is to add support for the ESPN platform. It also includes several bug fixes, code quality improvements, and a major refactor of tests to reduce overall package size.

        -

        A huge thank-you goes to Tony ElHabr for his contributions to the package for the ESPN methods.

        -
        -

        -Breaking Changes

        -
          -
        • -custom_players arguments are deprecated for MFL - it will now return them by default.
          • -
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        -ESPN Details

        -

        ESPN is a tricky and undocumented API. Private leagues are accessible if you use the SWID/ESPN_S2 authentication arguments, which are a lot like API keys - see the ESPN authentication vignette.

        -

        Unsupported functions:

        -
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        • -ff_draftpicks() - this does not apply to ESPN primarily because it does not support draft pick trades.
          • -
        • -ff_userleagues() - ESPN does not support looking up user’s leagues, even when authenticated
          • -
        • Username and password features - ESPN used to have a way to authenticate via username/password, but this has been recently made more difficult. It is an area that can be revisited if/when the Python package manages it, but at this time will only be accessible with the SWID/ESPN_S2 keys.
          • -
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        -New Functions

        -
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        • -dp_cleannames() is a utility function for cleaning player names that removes common suffixes, periods, and apostrophes.
          • -
        • -espn_potentialpoints() calculates the optimal lineup for each week. This is
          • -
        -
        -
        -

        -Minor patches

        -
          -
        • Converted GET requests to use httr::RETRY instead - this adds some robustness for server-side issues. As suggested by Maelle Salmon’s blog post on not reinventing the wheel.
          • -
        • Added some type conversions and renaming for snake_case consistency to mfl_rosters and mfl_playerscores
          • -
        • Fixed bug in MFL’s ff_playerscores() function so that it correctly pulls older names. (Resolves #196)
          • -
        • Refactored all tests to move test cache files to a separate/non-package location (https://github.com/dynastyprocess/ffscrapr-tests) - so that it is not included in CRAN’s package sizing
          • -
        • Fixed bugs in MFL’s ff_starters() function - bad default arg, bad players call. (Fixes #202)
          • -
        • Resolve MFL’s playerscores to handle vectorized request (Fixes #206)
          • -
        • Resolve bugs related to .fn_choose_season for tests (Fixes #217, #219)
          • -
        • Resolved bug in MFL’s ff_rosters() by adding a week parameter (Fixes #215)
          • -
        • Coerced ff_transactions() bid_amount into a numeric (Fixes #210)
          • -
        • Removed bye franchises from ff_starters() (Fixes #212)
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        -ffscrapr 1.2.2 2021-02-08 -

        -

        Minor patches to dp_import functions to address issues discovered by CRAN checks.

        -

        Also adds minor helper function, dp_cleannames(), which is a utility function for cleaning player names that removes common suffixes, periods, and apostrophes.

        -

        Messed up the export here, whoops. Fixing for next release.

        -
        -

        -Minor patches

        -
          -
        • Refactored dp_values() and dp_playerids() functions to use httr backend for compat with httptest, preventing CRAN errors.
          • -
        • Added inst-level redactor for httptest.
          • -
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        -ffscrapr 1.2.1 2020-12-16 -

        -
        -

        -Minor patches

        -
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        • Caching vignette outputs in tests/testthat to making vignette-rebuilding less internet reliant
          • -
        • Changing the league_id output of sleeper_userleagues to be a character column (because of cran no-longdouble support)
          • -
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        -ffscrapr 1.2.0 2020-11-27 -

        -

        The main goal of ffscrapr 1.2.0 is to add a full set of methods for Fleaflicker. This release also adds improved caching options, including writing to your filesystem for persistent caching (see the vignette!), and one hotfix for sleeper_getendpoint.

        -
        -

        -BREAKING CHANGES

        -
          -
        • -sleeper_getendpoint() now behaves more like the other getendpoint functions - first argument is the endpoint and any further args are passed as query parameters.
          • -
        -
        -
        -

        -Other tweaks to existing platforms/methods

        -
          -
        • Small copyedits to existing vignettes.
          • -
        • Added filesystem cache capabilities and a vignette to detailing how to use it.
          • -
        -
        -
        -

        -Fleaflicker notes

        -

        All functions now have Fleaflicker methods! Here are notes about what isn’t the same:

        -
          -
        • -fleaflicker_players() requires a connection/leagueID by default - acts a little oddly on game days as of right now.
          • -
        • -ff_playerscores() - Fleaflicker’s API returns season level data easily, week-level is not readily available yet without some workarounds. Everything else seems to be okay.
          • -
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        -

        -ffscrapr 1.1.0 2020-11-16 -

        -

        The main goal of ffscrapr 1.1.0 is to add a full set of methods for Sleeper. Also adds two new generics: ff_userleagues() and ff_starters().

        -
        -

        -New generic functions

        -

        Here is a list of new functions available at the top level (ie for all platforms)

        -
          -
        • -ff_userleagues() returns a list of user leagues. This is deployed slightly differently for MFL and Sleeper - MFL requires authentication to access user’s leagues, while Sleeper doesn’t have authentication so you can look up any user you like.
          • -
        • -ff_starters() returns a list of players started/not-started each week. MFL will return the actual score of each player each week and calculate whether they were optimal, while Sleeper just returns the player themselves.
          • -
        -
        -
        -

        -Sleeper notes

        -

        Almost all functions now have Sleeper methods - implemented in what hopes to be relatively familiar manner to MFL. Outlining the specifics of what isn’t the same:

        -
          -
        • -sleeper_userleagues() is a wrapper on ff_userleagues() that makes it easier to look up user leagues without first creating a connection object.
          • -
        • -ff_playerscores() is not available for Sleeper because Sleeper removed the player stats endpoint - it will generate a warning (rather than an error). Thinking about creating some functions to calculate scoring based on nflfastr.
          • -
        • -sleeper_getendpoint() is a little more simple than MFL’s equivalent - just pass a string url (minus api.sleeper.app/v1) or pass in chunks of code, the function will automatically paste them together with “/”.
          • -
        • Added generic and method for ff_userleagues() - Sleeper league IDs are more annoying than MFL to handle, so the more intuitive way is to look up the user’s league_ids by username first. MFL does have a parallel feature even if used for different purposes.
          • -
        • Added two vignettes, showing “Getting Started” as well as one for custom API calls
          • -
        -
        -
        -

        -MFL changes

        - -
        -
        -

        -Other release tweaks in 1.1.0

        -
          -
        • Now uses {checkmate} for testing.
          • -
        • Silently swallowing up unused args in mfl_connect and sleeper_connect.
          • -
        • Uses describeIn instead of rdname for method documentation.
          • -
        • Wrap all documentation examples in donttest - ratelimiting AND running in under 5 seconds each is pretty challenging!
          • -
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        -
        -

        -ffscrapr 1.0.0 2020-08-17 -

        -

        This is the first (major) version of ffscrapr and it is intended to build out the full set of functions for the first API platform: MFL.

        -

        Future versions will add more platforms via methods mapped to the same functions.

        -

        Functions include:

        -
          -
        • -ff_connect (and sibling mfl_connect) to establish connection parameters and ratelimiting
          • -
        • -mfl_getendpoint as a low-level function for making GET requests from MFL
          • -
        • -ff_draft gets draft results
          • -
        • -ff_draftpicks gets current and future draft picks that have not yet been selected
          • -
        • -ff_franchises gets franchise-level identifiers and divisions
          • -
        • -ff_league gets league-level summaries of rules, players, and franchises
          • -
        • -ff_playerscores gets playerweek-level scores
          • -
        • -ff_rosters gets franchise-level rosters complete with naming
          • -
        • -ff_schedule gets weekly fantasy schedules
          • -
        • -ff_scoring gets scoring rules
          • -
        • -ff_standings gets league-level season summaries
          • -
        • -ff_transactions gets a list of all transactions and cleans them into a data frame.
          • -
        -
        -
        - - - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/pkgdown.css b/docs/dev/pkgdown.css deleted file mode 100644 index 1273238d..00000000 --- a/docs/dev/pkgdown.css +++ /dev/null @@ -1,367 +0,0 @@ -/* Sticky footer */ - -/** - * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/ - * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css - * - * .Site -> body > .container - * .Site-content -> body > .container .row - * .footer -> footer - * - * Key idea seems to be to ensure that .container and __all its parents__ - * have height set to 100% - * - */ - -html, body { - height: 100%; -} - -body { - position: relative; -} - -body > .container { - display: flex; - height: 100%; - flex-direction: column; -} - -body > .container .row { - flex: 1 0 auto; -} - -footer { - margin-top: 45px; - padding: 35px 0 36px; - border-top: 1px solid #e5e5e5; - color: #666; - display: flex; - flex-shrink: 0; -} -footer p { - margin-bottom: 0; -} -footer div { - flex: 1; -} -footer .pkgdown { - text-align: right; -} -footer p { - margin-bottom: 0; -} - -img.icon { - float: right; -} - -img { - max-width: 100%; -} - -/* Fix bug in bootstrap (only seen in firefox) */ -summary { - display: list-item; -} - -/* Typographic tweaking ---------------------------------*/ - -.contents .page-header { - margin-top: calc(-60px + 1em); -} - -dd { - margin-left: 3em; -} - -/* Section anchors ---------------------------------*/ - -a.anchor { - margin-left: -30px; - display:inline-block; - width: 30px; - height: 30px; - visibility: hidden; - - background-image: url(./link.svg); - background-repeat: no-repeat; - background-size: 20px 20px; - background-position: center center; -} - -.hasAnchor:hover a.anchor { - visibility: visible; -} - -@media (max-width: 767px) { - .hasAnchor:hover a.anchor { - visibility: hidden; - } -} - - -/* Fixes for fixed navbar --------------------------*/ - -.contents h1, .contents h2, .contents h3, .contents h4 { - padding-top: 60px; - margin-top: -40px; -} - -/* Navbar submenu --------------------------*/ - -.dropdown-submenu { - position: relative; -} - -.dropdown-submenu>.dropdown-menu { - top: 0; - left: 100%; - margin-top: -6px; - margin-left: -1px; - border-radius: 0 6px 6px 6px; -} - -.dropdown-submenu:hover>.dropdown-menu { - display: block; -} - -.dropdown-submenu>a:after { - display: block; - content: " "; - float: right; - width: 0; - height: 0; - border-color: transparent; - border-style: solid; - border-width: 5px 0 5px 5px; - border-left-color: #cccccc; - margin-top: 5px; - margin-right: -10px; -} - -.dropdown-submenu:hover>a:after { - border-left-color: #ffffff; -} - -.dropdown-submenu.pull-left { - float: none; -} - -.dropdown-submenu.pull-left>.dropdown-menu { - left: -100%; - margin-left: 10px; - border-radius: 6px 0 6px 6px; -} - -/* Sidebar --------------------------*/ - -#pkgdown-sidebar { - margin-top: 30px; - position: -webkit-sticky; - position: sticky; - top: 70px; -} - -#pkgdown-sidebar h2 { - font-size: 1.5em; - margin-top: 1em; -} - -#pkgdown-sidebar h2:first-child { - margin-top: 0; -} - -#pkgdown-sidebar .list-unstyled li { - margin-bottom: 0.5em; -} - -/* bootstrap-toc tweaks ------------------------------------------------------*/ - -/* All levels of nav */ - -nav[data-toggle='toc'] .nav > li > a { - padding: 4px 20px 4px 6px; - font-size: 1.5rem; - font-weight: 400; - color: inherit; -} - -nav[data-toggle='toc'] .nav > li > a:hover, -nav[data-toggle='toc'] .nav > li > a:focus { - padding-left: 5px; - color: inherit; - border-left: 1px solid #878787; -} - -nav[data-toggle='toc'] .nav > .active > a, -nav[data-toggle='toc'] .nav > .active:hover > a, -nav[data-toggle='toc'] .nav > .active:focus > a { - padding-left: 5px; - font-size: 1.5rem; - font-weight: 400; - color: inherit; - border-left: 2px solid #878787; -} - -/* Nav: second level (shown on .active) */ - -nav[data-toggle='toc'] .nav .nav { - display: none; /* Hide by default, but at >768px, show it */ - padding-bottom: 10px; -} - -nav[data-toggle='toc'] .nav .nav > li > a { - padding-left: 16px; - font-size: 1.35rem; -} - -nav[data-toggle='toc'] .nav .nav > li > a:hover, -nav[data-toggle='toc'] .nav .nav > li > a:focus { - padding-left: 15px; -} - -nav[data-toggle='toc'] .nav .nav > .active > a, -nav[data-toggle='toc'] .nav .nav > .active:hover > a, -nav[data-toggle='toc'] .nav .nav > .active:focus > a { - padding-left: 15px; - font-weight: 500; - font-size: 1.35rem; -} - -/* orcid ------------------------------------------------------------------- */ - -.orcid { - font-size: 16px; - color: #A6CE39; - /* margins are required by official ORCID trademark and display guidelines */ - margin-left:4px; - margin-right:4px; - vertical-align: middle; -} - -/* Reference index & topics ----------------------------------------------- */ - -.ref-index th {font-weight: normal;} - -.ref-index td {vertical-align: top; min-width: 100px} -.ref-index .icon {width: 40px;} -.ref-index .alias {width: 40%;} -.ref-index-icons .alias {width: calc(40% - 40px);} -.ref-index .title {width: 60%;} - -.ref-arguments th {text-align: right; padding-right: 10px;} -.ref-arguments th, .ref-arguments td {vertical-align: top; min-width: 100px} -.ref-arguments .name {width: 20%;} -.ref-arguments .desc {width: 80%;} - -/* Nice scrolling for wide elements --------------------------------------- */ - -table { - display: block; - overflow: auto; -} - -/* Syntax highlighting ---------------------------------------------------- */ - -pre { - word-wrap: normal; - word-break: normal; - border: 1px solid #eee; -} - -pre, code { - background-color: #f8f8f8; - color: #333; -} - -pre code { - overflow: auto; - word-wrap: normal; - white-space: pre; -} - -pre .img { - margin: 5px 0; -} - -pre .img img { - background-color: #fff; - display: block; - height: auto; -} - -code a, pre a { - color: #375f84; -} - -a.sourceLine:hover { - text-decoration: none; -} - -.fl {color: #1514b5;} -.fu {color: #000000;} /* function */ -.ch,.st {color: #036a07;} /* string */ -.kw {color: #264D66;} /* keyword */ -.co {color: #888888;} /* comment */ - -.message { color: black; font-weight: bolder;} -.error { color: orange; font-weight: bolder;} -.warning { color: #6A0366; font-weight: bolder;} - -/* Clipboard --------------------------*/ - -.hasCopyButton { - position: relative; -} - -.btn-copy-ex { - position: absolute; - right: 0; - top: 0; - visibility: hidden; -} - -.hasCopyButton:hover button.btn-copy-ex { - visibility: visible; -} - -/* headroom.js ------------------------ */ - -.headroom { - will-change: transform; - transition: transform 200ms linear; -} -.headroom--pinned { - transform: translateY(0%); -} -.headroom--unpinned { - transform: translateY(-100%); -} - -/* mark.js ----------------------------*/ - -mark { - background-color: rgba(255, 255, 51, 0.5); - border-bottom: 2px solid rgba(255, 153, 51, 0.3); - padding: 1px; -} - -/* vertical spacing after htmlwidgets */ -.html-widget { - margin-bottom: 10px; -} - -/* fontawesome ------------------------ */ - -.fab { - font-family: "Font Awesome 5 Brands" !important; -} - -/* don't display links in code chunks when printing */ -/* source: https://stackoverflow.com/a/10781533 */ -@media print { - code a:link:after, code a:visited:after { - content: ""; - } -} diff --git a/docs/dev/pkgdown.js b/docs/dev/pkgdown.js deleted file mode 100644 index 7e7048fa..00000000 --- a/docs/dev/pkgdown.js +++ /dev/null @@ -1,108 +0,0 @@ -/* http://gregfranko.com/blog/jquery-best-practices/ */ -(function($) { - $(function() { - - $('.navbar-fixed-top').headroom(); - - $('body').css('padding-top', $('.navbar').height() + 10); - $(window).resize(function(){ - $('body').css('padding-top', $('.navbar').height() + 10); - }); - - $('[data-toggle="tooltip"]').tooltip(); - - var cur_path = paths(location.pathname); - var links = $("#navbar ul li a"); - var max_length = -1; - var pos = -1; - for (var i = 0; i < links.length; i++) { - if (links[i].getAttribute("href") === "#") - continue; - // Ignore external links - if (links[i].host !== location.host) - continue; - - var nav_path = paths(links[i].pathname); - - var length = prefix_length(nav_path, cur_path); - if (length > max_length) { - max_length = length; - pos = i; - } - } - - // Add class to parent
      • , and enclosing
      • if in dropdown - if (pos >= 0) { - var menu_anchor = $(links[pos]); - menu_anchor.parent().addClass("active"); - menu_anchor.closest("li.dropdown").addClass("active"); - } - }); - - function paths(pathname) { - var pieces = pathname.split("/"); - pieces.shift(); // always starts with / - - var end = pieces[pieces.length - 1]; - if (end === "index.html" || end === "") - pieces.pop(); - return(pieces); - } - - // Returns -1 if not found - function prefix_length(needle, haystack) { - if (needle.length > haystack.length) - return(-1); - - // Special case for length-0 haystack, since for loop won't run - if (haystack.length === 0) { - return(needle.length === 0 ? 0 : -1); - } - - for (var i = 0; i < haystack.length; i++) { - if (needle[i] != haystack[i]) - return(i); - } - - return(haystack.length); - } - - /* Clipboard --------------------------*/ - - function changeTooltipMessage(element, msg) { - var tooltipOriginalTitle=element.getAttribute('data-original-title'); - element.setAttribute('data-original-title', msg); - $(element).tooltip('show'); - element.setAttribute('data-original-title', tooltipOriginalTitle); - } - - if(ClipboardJS.isSupported()) { - $(document).ready(function() { - var copyButton = ""; - - $(".examples, div.sourceCode").addClass("hasCopyButton"); - - // Insert copy buttons: - $(copyButton).prependTo(".hasCopyButton"); - - // Initialize tooltips: - $('.btn-copy-ex').tooltip({container: 'body'}); - - // Initialize clipboard: - var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { - text: function(trigger) { - return trigger.parentNode.textContent; - } - }); - - clipboardBtnCopies.on('success', function(e) { - changeTooltipMessage(e.trigger, 'Copied!'); - e.clearSelection(); - }); - - clipboardBtnCopies.on('error', function() { - changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); - }); - }); - } -})(window.jQuery || window.$) diff --git a/docs/dev/pkgdown.yml b/docs/dev/pkgdown.yml deleted file mode 100644 index b16ffb26..00000000 --- a/docs/dev/pkgdown.yml +++ /dev/null @@ -1,20 +0,0 @@ -pandoc: 2.11.2 -pkgdown: 1.6.1 -pkgdown_sha: ~ -articles: - espn_authentication: espn_authentication.html - espn_basics: espn_basics.html - espn_getendpoint: espn_getendpoint.html - ffscrapr_caching: ffscrapr_caching.html - ffscrapr_scoringhistory: ffscrapr_scoringhistory.html - fleaflicker_basics: fleaflicker_basics.html - fleaflicker_getendpoint: fleaflicker_getendpoint.html - mfl_basics: mfl_basics.html - mfl_getendpoint: mfl_getendpoint.html - sleeper_basics: sleeper_basics.html - sleeper_getendpoint: sleeper_getendpoint.html -last_built: 2021-06-09T16:07Z -urls: - reference: ffscrapr.dynastyprocess.com/reference - article: ffscrapr.dynastyprocess.com/articles - diff --git a/docs/dev/reference/Rplot001.png b/docs/dev/reference/Rplot001.png deleted file mode 100644 index 17a358060aed2a86950757bbd25c6f92c08c458f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1011 zcmeAS@N?(olHy`uVBq!ia0y~yV0-|=9Be?5+AI5}0x7m6Z+90U4Fo@(ch>_c&H|6f zVg?3oArNM~bhqvg0|WD9PZ!6KiaBo&GBN^{G%5UFpXcEKVvd5*5Eu=C0SJK)8A6*F U7`aXvEC5;V>FVdQ&MBb@00SN#Z2$lO diff --git a/docs/dev/reference/dot-add_allplay.html b/docs/dev/reference/dot-add_allplay.html deleted file mode 100644 index af246a5d..00000000 --- a/docs/dev/reference/dot-add_allplay.html +++ /dev/null @@ -1,295 +0,0 @@ - - - - - - - - -Add allplay from a standardised schedule output — .add_allplay • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Add allplay from a standardised schedule output

        - Source: R/0_helpers.R - -
        - -
        -

        Add allplay from a standardised schedule output

        -
        - - 
        .add_allplay(schedule)
        - -

        Arguments

        -

        • - - - - - -
        schedule
          -

        • an output from ff_schedule

          • -
        - - - - - - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        - - - - - - - - - - - - diff --git a/docs/dev/reference/dot-espn_activity_map.html b/docs/dev/reference/dot-espn_activity_map.html deleted file mode 100644 index ba66a759..00000000 --- a/docs/dev/reference/dot-espn_activity_map.html +++ /dev/null @@ -1,288 +0,0 @@ - - - - - - - - -ESPN Activity/Transaction Mapping — .espn_activity_map • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        ESPN Activity/Transaction Mapping

        - Source: R/espn__helpers.R - -
        - -
        -

        ESPN Activity/Transaction Mapping

        -
        - - 
        .espn_activity_map()
        - - -

        See also

        - -

        https://github.com/cwendt94/espn-api/blob/master/espn_api/football/constant.py#L82-92

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-espn_lineupslot_map.html b/docs/dev/reference/dot-espn_lineupslot_map.html deleted file mode 100644 index eec7e162..00000000 --- a/docs/dev/reference/dot-espn_lineupslot_map.html +++ /dev/null @@ -1,288 +0,0 @@ - - - - - - - - -ESPN Lineup Slot map — .espn_lineupslot_map • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        ESPN Lineup Slot map

        - Source: R/espn__helpers.R - -
        - -
        -

        This is for the starting lineup specifically - primary positions is accessible via .espn_pos_map

        -
        - - 
        .espn_lineupslot_map()
        - - -

        See also

        - -

        https://github.com/cwendt94/espn-api/blob/master/espn_api/football/constant.py

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-espn_pos_map.html b/docs/dev/reference/dot-espn_pos_map.html deleted file mode 100644 index 9b1146ac..00000000 --- a/docs/dev/reference/dot-espn_pos_map.html +++ /dev/null @@ -1,287 +0,0 @@ - - - - - - - - -ESPN Primary Position map — .espn_pos_map • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        ESPN Primary Position map

        - Source: R/espn__helpers.R - -
        - -
        -

        Decoded by hand - if you have an IDP ESPN league please open a GitHub issue -and pass along the league info so we can expand this.

        -
        - - 
        .espn_pos_map()
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-espn_stat_map.html b/docs/dev/reference/dot-espn_stat_map.html deleted file mode 100644 index 702a48d3..00000000 --- a/docs/dev/reference/dot-espn_stat_map.html +++ /dev/null @@ -1,288 +0,0 @@ - - - - - - - - -ESPN Stat ID map — .espn_stat_map • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        ESPN Stat ID map

        - Source: R/espn__helpers.R - -
        - -
        -

        ESPN Stat ID map

        -
        - - 
        .espn_stat_map()
        - - -

        See also

        - -

        https://github.com/cwendt94/espn-api/blob/master/espn_api/football/constant.py

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-espn_team_map.html b/docs/dev/reference/dot-espn_team_map.html deleted file mode 100644 index 9be2ba20..00000000 --- a/docs/dev/reference/dot-espn_team_map.html +++ /dev/null @@ -1,290 +0,0 @@ - - - - - - - - -ESPN Team ID map — .espn_team_map • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        ESPN Team ID map

        - Source: R/espn__helpers.R - -
        - -
        -

        Opinionatedly conforming to DynastyProcess standards, which match to MyFantasyLeague. -Abbreviations are consistently three letters.

        -
        - - 
        .espn_team_map()
        - - -

        See also

        - -

        https://github.com/cwendt94/espn-api/blob/master/espn_api/football/constant.py

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-ff_clear_cache.html b/docs/dev/reference/dot-ff_clear_cache.html deleted file mode 100644 index 4d3a3817..00000000 --- a/docs/dev/reference/dot-ff_clear_cache.html +++ /dev/null @@ -1,285 +0,0 @@ - - - - - - - - -Empty Function Cache — .ff_clear_cache • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Empty Function Cache

        - Source: R/0_cache.R - -
        - -
        -

        This function will reset the cache for any and all ffscrapr cached functions.

        -
        - - 
        .ff_clear_cache()
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-ffscrapr_clear_cache.html b/docs/dev/reference/dot-ffscrapr_clear_cache.html deleted file mode 100644 index e610d52e..00000000 --- a/docs/dev/reference/dot-ffscrapr_clear_cache.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -Empty Function Cache — .ffscrapr_clear_cache • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Empty Function Cache

        - Source: R/cache.R - -
        - -
        -

        This function will reset the cache for any and all of these functions.

        -
        - - 
        .ffscrapr_clear_cache()
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/dev/reference/dot-fn_choose_season.html b/docs/dev/reference/dot-fn_choose_season.html deleted file mode 100644 index 9802ce92..00000000 --- a/docs/dev/reference/dot-fn_choose_season.html +++ /dev/null @@ -1,285 +0,0 @@ - - - - - - - - -Choose current season — .fn_choose_season • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Choose current season

        - Source: R/0_helpers.R - -
        - -
        -

        A helper function to return the current year if March or later, otherwise assume previous year

        -
        - - 
        .fn_choose_season(date = NULL)
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-fn_drop_nulls.html b/docs/dev/reference/dot-fn_drop_nulls.html deleted file mode 100644 index 714ba16a..00000000 --- a/docs/dev/reference/dot-fn_drop_nulls.html +++ /dev/null @@ -1,285 +0,0 @@ - - - - - - - - -Drop nulls from a list/vector — .fn_drop_nulls • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Drop nulls from a list/vector

        - Source: R/0_helpers.R - -
        - -
        -

        Drop nulls from a list/vector

        -
        - - 
        .fn_drop_nulls(x)
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-fn_set_ratelimit.html b/docs/dev/reference/dot-fn_set_ratelimit.html deleted file mode 100644 index d4df5f19..00000000 --- a/docs/dev/reference/dot-fn_set_ratelimit.html +++ /dev/null @@ -1,303 +0,0 @@ - - - - - - - - -Set rate limit — .fn_set_ratelimit • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Set rate limit

        - Source: R/0_helpers.R - -
        - -
        -

        A helper function that creates a new copy of the httr::GET function and stores it -in the .ffscrapr_env hidden object

        -
        - - 
        .fn_set_ratelimit(toggle = TRUE, platform, rate_number, rate_seconds)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        toggle

        a logical to turn on rate_limiting if TRUE and off if FALSE

        rate_number

        number of calls per rate_seconds

        rate_seconds

        number of seconds

        - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-fn_set_useragent.html b/docs/dev/reference/dot-fn_set_useragent.html deleted file mode 100644 index abdcad6d..00000000 --- a/docs/dev/reference/dot-fn_set_useragent.html +++ /dev/null @@ -1,287 +0,0 @@ - - - - - - - - -Set user agent — .fn_set_useragent • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Set user agent

        - Source: R/0_helpers.R - -
        - -
        -

        Self-identifying is mostly about being polite, although MFL has a program to give verified clients more bandwidth! -See: https://www03.myfantasyleague.com/2020/csetup?C=APICLI

        -
        - - 
        .fn_set_useragent(user_agent)
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-mfl_logincookie.html b/docs/dev/reference/dot-mfl_logincookie.html deleted file mode 100644 index 36c9f812..00000000 --- a/docs/dev/reference/dot-mfl_logincookie.html +++ /dev/null @@ -1,306 +0,0 @@ - - - - - - - - -Get MFL Login Cookie — .mfl_logincookie • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get MFL Login Cookie

        - Source: R/mfl_connect.R - -
        - -
        -

        Gets login cookie for MFL based on user_name/password -Docs: https://api.myfantasyleague.com/2020/api_info#login_info

        -
        - - 
        .mfl_logincookie(user_name, password, season)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        user_name

        MFL user_name (as string)

        password

        MFL password (as string)

        season

        Season

        - -

        Value

        - -

        a login cookie, which should be included as a parameter in an httr GET request

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-retry_get.html b/docs/dev/reference/dot-retry_get.html deleted file mode 100644 index 778c8f5e..00000000 --- a/docs/dev/reference/dot-retry_get.html +++ /dev/null @@ -1,293 +0,0 @@ - - - - - - - - -Create RETRY version of GET — .retry_get • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Create RETRY version of GET

        - Source: R/0_helpers.R - -
        - -
        -

        This wrapper on httr retries the httr::GET function based on best-practice heuristics

        -
        - - 
        .retry_get(...)
        - -

        Arguments

        - - - - - - -
        ...

        arguments passed to httr::GET

        - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-retry_post.html b/docs/dev/reference/dot-retry_post.html deleted file mode 100644 index 3d8c6e6f..00000000 --- a/docs/dev/reference/dot-retry_post.html +++ /dev/null @@ -1,293 +0,0 @@ - - - - - - - - -Create RETRY version of POST — .retry_post • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Create RETRY version of POST

        - Source: R/0_helpers.R - -
        - -
        -

        This wrapper on httr retries the httr::POST function based on best-practice heuristics.

        -
        - - 
        .retry_post(...)
        - -

        Arguments

        - - - - - - -
        ...

        arguments passed to httr::POST

        - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-sleeper_matchup.html b/docs/dev/reference/dot-sleeper_matchup.html deleted file mode 100644 index 33fd63d4..00000000 --- a/docs/dev/reference/dot-sleeper_matchup.html +++ /dev/null @@ -1,285 +0,0 @@ - - - - - - - - -individual sleeper matchup — .sleeper_matchup • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        individual sleeper matchup

        - Source: R/sleeper_schedule.R - -
        - -
        -

        individual sleeper matchup

        -
        - - 
        .sleeper_matchup(week, conn, last_scored_week)
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dot-sleeper_userid.html b/docs/dev/reference/dot-sleeper_userid.html deleted file mode 100644 index ba9da8eb..00000000 --- a/docs/dev/reference/dot-sleeper_userid.html +++ /dev/null @@ -1,296 +0,0 @@ - - - - - - - - -Get Sleeper User ID — .sleeper_userid • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get Sleeper User ID

        - Source: R/sleeper_connect.R - -
        - -
        -

        Docs: https://docs.sleeper.app

        -
        - - 
        .sleeper_userid(user_name)
        - -

        Arguments

        - - - - - - -
        user_name

        Sleeper username

        - -

        Value

        - -

        sleeper userID

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dp_cleannames.html b/docs/dev/reference/dp_cleannames.html deleted file mode 100644 index 914d06ff..00000000 --- a/docs/dev/reference/dp_cleannames.html +++ /dev/null @@ -1,339 +0,0 @@ - - - - - - - - -Clean Names — dp_cleannames • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Clean Names

        - Source: R/1_import_dp.R - -
        - -
        -

        Applies some name-cleaning heuristics to facilitate joins. These heuristics may include:

          -

        • removing periods and apostrophes

          • -

        • removing common suffixes, such as Jr, Sr, II, III, IV

          • -

        • converting to lowercase

          • -

        • using dp_name_mapping to do common name substitutions, such as Mitch Trubisky to Mitchell Trubisky

          • -
        - -
        - - 
        dp_cleannames(
-  player_name,
-  lowercase = FALSE,
-  convert_lastfirst = FALSE,
-  use_name_database = TRUE
-)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - -
        player_name

        a character (or character vector)

        lowercase

        defaults to FALSE - if TRUE, converts to lowercase

        convert_lastfirst

        converts names from "Last, First" to "First Last" (i.e. MFL style)

        use_name_database

        uses internal name database to do common substitutions (Mitchell Trubisky to Mitch Trubisky etc)

        - -

        Value

        - -

        a character vector of cleaned names

        -

        See also

        - -

        dp_name_mapping

        - -

        Examples

        - 
        # \donttest{
-dp_cleannames(c("A.J. Green", "Odell Beckham Jr.", "Le'Veon Bell Sr."))
-
        #> [1] "AJ Green"      "Odell Beckham" "LeVeon Bell"  
        
-dp_cleannames(c("Trubisky, Mitch", "Atwell, Chatarius", "Elliott, Zeke", "Elijah Moore"),
-              convert_lastfirst = TRUE,
-              use_name_database = TRUE)
-
        #> [1] "Mitchell Trubisky" "Tutu Atwell"       "Ezekiel Elliott"  
-#> [4] "Elijah Moore"     
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dp_name_mapping.html b/docs/dev/reference/dp_name_mapping.html deleted file mode 100644 index 0154328b..00000000 --- a/docs/dev/reference/dp_name_mapping.html +++ /dev/null @@ -1,300 +0,0 @@ - - - - - - - - -Alternate name mappings — dp_name_mapping • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Alternate name mappings

        - Source: R/1_import_dp.R - -
        - -
        -

        A named character vector mapping common alternate names

        -
        - - 
        dp_name_mapping
        - - -

        Format

        - -

        A named character vector

        -
        name attribute

        The "alternate" name.

        -
        value attribute

        The "correct" name.

        - -
        - - -

        Examples

        - 
        # \donttest{
-dp_name_mapping[c("Chatarius Atwell", "Robert Kelley")]
-
        #> Chatarius Atwell    Robert Kelley 
-#>    "Tutu Atwell"     "Rob Kelley" 
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dp_playerids.html b/docs/dev/reference/dp_playerids.html deleted file mode 100644 index 8048b476..00000000 --- a/docs/dev/reference/dp_playerids.html +++ /dev/null @@ -1,316 +0,0 @@ - - - - - - - - -Import latest DynastyProcess player IDs — dp_playerids • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Import latest DynastyProcess player IDs

        - Source: R/1_import_dp.R - -
        - -
        -

        Fetches a copy of the latest DynastyProcess player IDs csv

        -
        - - 
        dp_playerids()
        - - -

        Value

        - -

        a tibble of player IDs

        -

        See also

        - -

        https://github.com/DynastyProcess/data

        - -

        Examples

        - 
        # \donttest{
-dp_playerids()
-
        #> # A tibble: 10,512 x 31
-#>    mfl_id sportradar_id  fantasypros_id gsis_id pff_id sleeper_id nfl_id espn_id
-#>    <chr>  <chr>          <chr>          <chr>   <chr>  <chr>      <chr>  <chr>  
-#>  1 15237  aaa8b42c-4d87~ 19780          NA      NA     7523       NA     NA     
-#>  2 15238  cf15be8f-9117~ 19781          NA      NA     7591       NA     NA     
-#>  3 15239  17bb63b1-1b0e~ 22679          NA      NA     7538       NA     NA     
-#>  4 15240  676a508c-c65f~ 20082          NA      NA     7610       NA     NA     
-#>  5 15241  1fd00ec3-b758~ 20156          NA      NA     7527       NA     NA     
-#>  6 15242  13038760-a019~ 19800          NA      NA     7605       NA     NA     
-#>  7 15243  631e6ad5-0a97~ 19383          NA      NA     7581       NA     NA     
-#>  8 15244  NA             NA             NA      NA     NA         NA     NA     
-#>  9 15245  22fd9495-1745~ 19785          NA      NA     7555       NA     NA     
-#> 10 15246  0d3113f7-2a82~ 20159          NA      NA     7589       NA     NA     
-#> # ... with 10,502 more rows, and 23 more variables: yahoo_id <chr>,
-#> #   fleaflicker_id <chr>, cbs_id <chr>, rotowire_id <chr>, rotoworld_id <chr>,
-#> #   ktc_id <chr>, pfr_id <chr>, cfbref_id <chr>, stats_id <chr>,
-#> #   stats_global_id <chr>, fantasy_data_id <chr>, name <chr>, merge_name <chr>,
-#> #   position <chr>, team <chr>, birthdate <chr>, age <dbl>, draft_year <int>,
-#> #   draft_round <int>, draft_pick <int>, draft_ovr <int>,
-#> #   twitter_username <chr>, db_season <int>
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/dp_values.html b/docs/dev/reference/dp_values.html deleted file mode 100644 index d29499ed..00000000 --- a/docs/dev/reference/dp_values.html +++ /dev/null @@ -1,305 +0,0 @@ - - - - - - - - -Import latest DynastyProcess values — dp_values • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Import latest DynastyProcess values

        - Source: R/1_import_dp.R - -
        - -
        -

        Fetches a copy of the latest DynastyProcess dynasty trade values sheets

        -
        - - 
        dp_values(file = c("values.csv", "values-players.csv", "values-picks.csv"))
        - -

        Arguments

        - - - - - - -
        file

        one of c("values.csv","values-players.csv","values-picks.csv")

        - -

        Value

        - -

        a tibble of trade values from DynastyProcess

        -

        See also

        - -

        https://github.com/DynastyProcess/data

        - -

        Examples

        - 
        # \donttest{
-dp_values()
-# }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/espn_connect.html b/docs/dev/reference/espn_connect.html deleted file mode 100644 index 1ca044da..00000000 --- a/docs/dev/reference/espn_connect.html +++ /dev/null @@ -1,349 +0,0 @@ - - - - - - - - -Connect to ESPN League — espn_connect • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Connect to ESPN League

        - Source: R/espn_connect.R - -
        - -
        -

        This function creates a connection object which stores parameters and a user ID if available.

        -
        - - 
        espn_connect(
-  season = NULL,
-  league_id = NULL,
-  swid = NULL,
-  espn_s2 = NULL,
-  user_agent = NULL,
-  rate_limit = TRUE,
-  rate_limit_number = NULL,
-  rate_limit_seconds = NULL,
-  ...
-)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        season

        Season to access on Fleaflicker - if missing, will guess based on system date (current year if March or later, otherwise previous year)

        league_id

        League ID

        swid

        SWID parameter for accessing private leagues - see vignette for details

        espn_s2

        ESPN_S2 parameter for accessing private leagues - see vignette for details

        user_agent

        User agent to self-identify (optional)

        rate_limit

        TRUE by default - turn off rate limiting with FALSE

        rate_limit_number

        number of calls per rate_limit_seconds, suggested is under 1000 calls per 60 seconds

        rate_limit_seconds

        number of seconds as denominator for rate_limit

        ...

        other arguments (for other methods, for R compat)

        - -

        Value

        - -

        a list that stores ESPN connection objects

        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(
-  season = 2018,
-  league_id = 1178049,
-  espn_s2 = Sys.getenv("TAN_ESPN_S2"),
-  swid = Sys.getenv("TAN_SWID")
-)
-# }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/espn_getendpoint.html b/docs/dev/reference/espn_getendpoint.html deleted file mode 100644 index ca0b49e0..00000000 --- a/docs/dev/reference/espn_getendpoint.html +++ /dev/null @@ -1,318 +0,0 @@ - - - - - - - - -GET ESPN fantasy league endpoint — espn_getendpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        GET ESPN fantasy league endpoint

        - Source: R/espn_api.R - -
        - -
        -

        This function is used to call the ESPN Fantasy API for league-based endpoints.

        -
        - - 
        espn_getendpoint(conn, ..., x_fantasy_filter = NULL)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        a connection object created by espn_connect or ff_connect()

        ...

        Arguments which will be passed as "argumentname = argument" in an HTTP query parameter

        x_fantasy_filter

        a JSON-encoded character string that specifies a filter for the data

        - -

        Value

        - -

        A list object containing the query, response, and parsed content.

        -

        Details

        - -

        The ESPN Fantasy API is undocumented and this should be used by advanced users -familiar with the API.

        -

        It chooses the correct league endpoint based on the year (eg leagueHistory -for <2018), checks the x_fantasy_filter for valid JSON input, builds a url -with any optional query parameters, and executes the request with authentication -and rate limiting.

        -

        HTTP query parameters (i.e. arguments to ...) are Case Sensitive.

        -

        Please see the vignette for more on usage.

        -

        See also

        - -

        vignette("espn_getendpoint")

        -

        espn_getendpoint_raw

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/espn_getendpoint_raw.html b/docs/dev/reference/espn_getendpoint_raw.html deleted file mode 100644 index ea33ea34..00000000 --- a/docs/dev/reference/espn_getendpoint_raw.html +++ /dev/null @@ -1,316 +0,0 @@ - - - - - - - - -GET ESPN endpoint (raw) — espn_getendpoint_raw • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        GET ESPN endpoint (raw)

        - Source: R/espn_api.R - -
        - -
        -

        This function is the lower-level function that powers the API call: -it takes a URL and headers and executes the http request with rate-limiting -and authentication. It checks for JSON return and any warnings/errors, -parses the json, and returns an espn_api object with the parsed content, -the raw response, and the actual query.

        -
        - - 
        espn_getendpoint_raw(conn, url_query, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        a connection object created by ff_connect or equivalent - used for authentication

        url_query

        a fully-formed URL to call

        ...

        any headers or other httr request objects to pass along

        - -

        Value

        - -

        object of class espn_api with parsed content, request, and response

        -

        See also

        - -

        espn_getendpoint() - a higher level wrapper that checks JSON and prepares the url query

        -

        vignette("espn_getendpoint")

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/espn_players.html b/docs/dev/reference/espn_players.html deleted file mode 100644 index 1bbcdbf5..00000000 --- a/docs/dev/reference/espn_players.html +++ /dev/null @@ -1,310 +0,0 @@ - - - - - - - - -ESPN players library — espn_players • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        ESPN players library

        - Source: R/espn_players.R - -
        - -
        -

        A cached table of ESPN NFL players. Will store in memory for each session! -(via memoise in zzz.R)

        -
        - - 
        espn_players(conn = NULL, season = NULL)
        - -

        Arguments

        - - - - - - - - - - -
        conn

        a connection object created by espn_connect or ff_connect()

        season

        a season to fetch

        - -

        Value

        - -

        a dataframe containing all ~2000+ active players in the ESPN database

        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(season = 2020, league_id = 1178049)
-
-player_list <- espn_players(conn, season = 2020)
-# }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/espn_potentialpoints.html b/docs/dev/reference/espn_potentialpoints.html deleted file mode 100644 index 5b0c257e..00000000 --- a/docs/dev/reference/espn_potentialpoints.html +++ /dev/null @@ -1,321 +0,0 @@ - - - - - - - - -ESPN Potential Points — espn_potentialpoints • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        ESPN Potential Points

        - Source: R/espn_potentialpoints.R - -
        - -
        -

        This function calculates the optimal starters for a given week, using some lineup heuristics.

        -
        - - 
        espn_potentialpoints(conn, weeks = 1:17)
        - -

        Arguments

        - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        weeks

        a numeric vector for determining which weeks to calculate

        - -

        Value

        - -

        a tibble with the best lineup for each team and whether they were started or not

        - -

        Examples

        - 
        # \donttest{
-
-conn <- espn_connect(season = 2020, league_id = 899513)
-espn_potentialpoints(conn, weeks = 1:3)
-
        #> # A tibble: 666 x 11
-#>     week franchise_id franchise_name franchise_score optimal_slot actual_slot
-#>    <int>        <int> <chr>                    <dbl> <chr>        <chr>      
-#>  1     1            1 The Early GGod            102. QB           OP         
-#>  2     1            1 The Early GGod            102. RB           BE         
-#>  3     1            1 The Early GGod            102. RB           RB         
-#>  4     1            1 The Early GGod            102. WR           BE         
-#>  5     1            1 The Early GGod            102. WR           BE         
-#>  6     1            1 The Early GGod            102. TE           BE         
-#>  7     1            1 The Early GGod            102. OP           WR         
-#>  8     1            1 The Early GGod            102. DST          DST        
-#>  9     1            1 The Early GGod            102. K            K          
-#> 10     1            1 The Early GGod            102. RB/WR/TE     BE         
-#> # ... with 656 more rows, and 5 more variables: player_score <dbl>,
-#> #   player_name <chr>, player_pos <chr>, team <chr>, player_id <int>
        # }
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_connect.html b/docs/dev/reference/ff_connect.html deleted file mode 100644 index b20f8dd4..00000000 --- a/docs/dev/reference/ff_connect.html +++ /dev/null @@ -1,319 +0,0 @@ - - - - - - - - -Connect to a League — ff_connect • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Connect to a League

        - Source: R/0_generics.R - -
        - -
        -

        This function creates a connection object which stores parameters and gets a login-cookie if available - it does so by passing arguments to the appropriate league-based handler.

        -
        - - 
        ff_connect(platform = "mfl", league_id = NULL, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        platform

        one of MFL or Sleeper (Fleaflicker, ESPN, Yahoo in approximate priority order going forward)

        league_id

        league_id (currently assuming one league at a time)

        ...

        other parameters passed to the connect function for each specific platform.

        - -

        Value

        - -

        a connection object to be used with ff_* functions

        -

        See also

        - -

        mfl_connect(), sleeper_connect(), fleaflicker_connect(), espn_connect()

        - -

        Examples

        - 
        # \donttest{
-ff_connect(platform = "mfl", season = 2019, league_id = 54040, rate_limit = FALSE)
-
        #> <MFL connection 2019_54040>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2019
-#>  $ league_id  : chr "54040"
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
        # }
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_draft.html b/docs/dev/reference/ff_draft.html deleted file mode 100644 index b74ea019..00000000 --- a/docs/dev/reference/ff_draft.html +++ /dev/null @@ -1,407 +0,0 @@ - - - - - - - - -Get Draft Results — ff_draft • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get Draft Results

        - Source: R/0_generics.R, R/espn_draft.R, R/flea_draft.R, and 2 more - -
        - -
        -

        This function gets a tidy dataframe of draft results for the current year. -Can handle MFL devy drafts or startup drafts by specifying the custom_players argument

        -
        - - 
        ff_draft(conn, ...)
-
-# S3 method for espn_conn
-ff_draft(conn, ...)
-
-# S3 method for flea_conn
-ff_draft(conn, ...)
-
-# S3 method for mfl_conn
-ff_draft(conn, custom_players = deprecated(), ...)
-
-# S3 method for sleeper_conn
-ff_draft(conn, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        ...

        args for other methods

        custom_players

        [Deprecated] - now returns custom players by default

        - -

        Value

        - -

        A tidy dataframe of draft results

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns the current year's draft/auction, including details on keepers

          • -

        • flea_conn: Fleaflicker: returns a table of drafts for the current year

          • -

        • mfl_conn: MFL: returns a table of drafts for the current year - can handle devy/startup-rookie-picks by specifying custom_players (slower!)

          • -

        • sleeper_conn: Sleeper: returns a dataframe of all drafts and draft selections, if available.

          • -
        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(season = 2020, league_id = 899513)
-ff_draft(conn)
-
        #> # A tibble: 220 x 21
-#>    round  pick overall franchise_id franchise_name       user_nickname player_id
-#>    <int> <int>   <int>        <int> <chr>                <chr>             <int>
-#>  1     1     1       1            9 "RAFI CUNADO"        Brandon11598    3120348
-#>  2     1     2       2            5 "The Juggernaut"     longhorn0010    4047646
-#>  3     1     3       3            1 "The Early GGod"     dachosenJuan~   2977644
-#>  4     1     4       4            4 "I'm Also Sad "      Ciavalen5th     3121422
-#>  5     1     5       5            8 "Big Coomers"        Zarkoa           -16033
-#>  6     1     6       6            3 "PAKI STANS"         erodriguezk     3122840
-#>  7     1     7       7            2 "Coom  Dumpster"     mfespinosaIV      16800
-#>  8     1     8       8            6 "OBJ's Personal Por~ drake iz yoda     15683
-#>  9     1     9       9           10 "Austin \U0001f410D~ espn14856151      14880
-#> 10     1    10      10            7 "Tony El Tigre"      anthon8821581   2573079
-#> # ... with 210 more rows, and 14 more variables: player_name <chr>, pos <chr>,
-#> #   team <chr>, bid_amount <int>, nominating_team_id <int>, is_keeper <lgl>,
-#> #   can_keeper <lgl>, autodraft_type <int>, complete_date <dttm>,
-#> #   in_progress <lgl>, pick_id <int>, drafted <lgl>, lineupSlotId <int>,
-#> #   tradeLocked <lgl>
        # }
-
-# \donttest{
-conn <- fleaflicker_connect(season = 2020, league_id = 206154)
-ff_draft(conn)
-
        #> # A tibble: 80 x 9
-#>    round  pick overall franchise_id franchise_name  player_id player_name  pos  
-#>    <int> <int>   <int>        <int> <chr>               <int> <chr>        <chr>
-#>  1     1     1       1      1373970 Bamenda Herd        15539 Clyde Edwar~ RB   
-#>  2     1     2       2      1374252 Central City C~     15604 Jonathan Ta~ RB   
-#>  3     1     3       3      1373991 Top City Terro~     15523 CeeDee Lamb  WR   
-#>  4     1     4       4      1374315 Shanghai Commu~     15555 J.K. Dobbins RB   
-#>  5     1     5       5      1374271 Clutch City Ba~     15601 D'Andre Swi~ RB   
-#>  6     1     6       6      1374271 Clutch City Ba~     15563 Cam Akers    RB   
-#>  7     1     7       7      1373883 Manitoba Marmo~     15540 Justin Jeff~ WR   
-#>  8     1     8       8      1373973 Red River Land~     15544 Jerry Jeudy  WR   
-#>  9     1     9       9      1374271 Clutch City Ba~     15537 Chase Young  EDR  
-#> 10     1    10      10      1373535 Winterthur Ang~     15620 Ke'Shawn Va~ RB   
-#> # ... with 70 more rows, and 1 more variable: team <chr>
        # }
-
-# \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_draft(ssb_conn)
-
        #> # A tibble: 90 x 11
-#>    timestamp           round pick  overall franchise_id franchise_name player_id
-#>    <dttm>              <chr> <chr>   <int> <chr>        <chr>          <chr>    
-#>  1 2021-02-08 18:52:22 01    01          1 0014         Team Luigi     11244    
-#>  2 2021-02-08 19:20:07 01    02          2 0003         Team Donkey K~ 14073    
-#>  3 2021-02-08 20:01:16 01    03          3 0008         Team Bowser    11678    
-#>  4 2021-02-08 20:01:30 02    01          4 0008         Team Bowser    13131    
-#>  5 2021-02-08 20:12:30 02    02          5 0003         Team Donkey K~ 11671    
-#>  6 2021-02-09 02:55:39 02    03          6 0012         Team Mewtwo    13593    
-#>  7 2021-02-09 03:09:50 03    01          7 0014         Team Luigi     0829     
-#>  8 2021-02-09 03:12:44 03    02          8 0003         Team Donkey K~ 11222    
-#>  9 2021-02-09 03:22:50 03    03          9 0008         Team Bowser    14208    
-#> 10 2021-02-09 03:23:01 04    01         10 0008         Team Bowser    13156    
-#> # ... with 80 more rows, and 4 more variables: player_name <chr>, pos <chr>,
-#> #   age <dbl>, team <chr>
        # }
-
-# \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_draft(jml_conn)
-
        #> # A tibble: 48 x 13
-#>    draft_id       status   type  season round  pick franchise_id franchise_name 
-#>    <chr>          <chr>    <chr> <chr>  <int> <int>        <int> <chr>          
-#>  1 5224587733212~ complete line~ 2020       1     1            4 The FANTom Men~
-#>  2 5224587733212~ complete line~ 2020       1     2            5 Barbarians     
-#>  3 5224587733212~ complete line~ 2020       1     3           11 Permian Panthe~
-#>  4 5224587733212~ complete line~ 2020       1     4            2 KingGabe       
-#>  5 5224587733212~ complete line~ 2020       1     5            8 Hocka Flocka   
-#>  6 5224587733212~ complete line~ 2020       1     6            2 KingGabe       
-#>  7 5224587733212~ complete line~ 2020       1     7            2 KingGabe       
-#>  8 5224587733212~ complete line~ 2020       1     8            2 KingGabe       
-#>  9 5224587733212~ complete line~ 2020       1     9            6 sox05syd       
-#> 10 5224587733212~ complete line~ 2020       1    10            9 ZPMiller97     
-#> # ... with 38 more rows, and 5 more variables: player_id <chr>,
-#> #   player_name <chr>, pos <chr>, age <dbl>, team <chr>
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_draftpicks.html b/docs/dev/reference/ff_draftpicks.html deleted file mode 100644 index 69e0b85a..00000000 --- a/docs/dev/reference/ff_draftpicks.html +++ /dev/null @@ -1,379 +0,0 @@ - - - - - - - - -Get Draft Picks — ff_draftpicks • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get Draft Picks

        - Source: R/0_generics.R, R/espn_draftpicks.R, R/flea_draftpicks.R, and 2 more - -
        - -
        -

        Returns all draft picks (current and future) that belong to a specific franchise and have not yet been converted into players (i.e. selected.)

        -
        - - 
        ff_draftpicks(conn, ...)
-
-# S3 method for espn_conn
-ff_draftpicks(conn, ...)
-
-# S3 method for flea_conn
-ff_draftpicks(conn, franchise_id = NULL, ...)
-
-# S3 method for mfl_conn
-ff_draftpicks(conn, ...)
-
-# S3 method for sleeper_conn
-ff_draftpicks(conn, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        ...

        other arguments (currently unused)

        franchise_id

        A list of franchise IDs to pull, if NULL will return all franchise IDs

        - -

        Value

        - -

        Returns a dataframe with current and future draft picks for each franchise

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: does not support future/draft pick trades - for draft results, please use ff_draft.

          • -

        • flea_conn: Fleaflicker: retrieves current and future draft picks, potentially for a specified team.

          • -

        • mfl_conn: MFL: returns current and future picks

          • -

        • sleeper_conn: Sleeper: retrieves current and future draft picks

          • -
        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(
-  season = 2018,
-  league_id = 1178049,
-  espn_s2 = Sys.getenv("TAN_ESPN_S2"),
-  swid = Sys.getenv("TAN_SWID")
-)
-
-ff_draftpicks(conn)
-
        #> Warning: ESPN does not support draft pick trades. For draft results, please use ff_draft()
        #> NULL
        # }
-
-# \donttest{
-conn <- fleaflicker_connect(2020, 206154)
-ff_draftpicks(conn, franchise_id = 1373475)
-# }
-
-# \donttest{
-dlf_conn <- mfl_connect(2020, league_id = 37920)
-ff_draftpicks(conn = dlf_conn)
-
        #> # A tibble: 80 x 5
-#>    season franchise_id franchise_name round original_franchise_id
-#>     <dbl> <chr>        <chr>          <dbl> <chr>                
-#>  1   2021 0001         @dibari22          1 0001                 
-#>  2   2021 0001         @dibari22          2 0001                 
-#>  3   2021 0001         @dibari22          3 0001                 
-#>  4   2021 0001         @dibari22          5 0001                 
-#>  5   2021 0001         @dibari22          2 0009                 
-#>  6   2021 0002         OPEN               1 0002                 
-#>  7   2021 0002         OPEN               2 0002                 
-#>  8   2021 0002         OPEN               3 0002                 
-#>  9   2021 0002         OPEN               4 0002                 
-#> 10   2021 0002         OPEN               5 0002                 
-#> # ... with 70 more rows
        # }
-
-# \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_draftpicks(jml_conn)
-
        #> # A tibble: 144 x 5
-#>    season franchise_id franchise_name round original_franchise_id
-#>    <chr>         <int> <chr>          <int>                 <int>
-#>  1 2021              1 Fake News          3                     1
-#>  2 2021              1 Fake News          4                     1
-#>  3 2022              1 Fake News          2                     1
-#>  4 2022              1 Fake News          3                     1
-#>  5 2022              1 Fake News          4                     1
-#>  6 2023              1 Fake News          1                     1
-#>  7 2023              1 Fake News          2                     1
-#>  8 2023              1 Fake News          3                     1
-#>  9 2023              1 Fake News          4                     1
-#> 10 2021              2 KingGabe           1                     2
-#> # ... with 134 more rows
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_franchises.html b/docs/dev/reference/ff_franchises.html deleted file mode 100644 index 011c68c4..00000000 --- a/docs/dev/reference/ff_franchises.html +++ /dev/null @@ -1,408 +0,0 @@ - - - - - - - - -Get League Franchises — ff_franchises • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get League Franchises

        - Source: R/0_generics.R, R/espn_franchises.R, R/flea_franchises.R, and 2 more - -
        - -
        -

        Return franchise-level data (including divisions, usernames, etc) - available data may vary slightly based on platform.

        -
        - - 
        ff_franchises(conn)
-
-# S3 method for espn_conn
-ff_franchises(conn)
-
-# S3 method for flea_conn
-ff_franchises(conn)
-
-# S3 method for mfl_conn
-ff_franchises(conn)
-
-# S3 method for sleeper_conn
-ff_franchises(conn)
        - -

        Arguments

        - - - - - - -
        conn

        a conn object created by ff_connect()

        - -

        Value

        - -

        A tidy dataframe of franchises, complete with IDs

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns franchise and division information.

          • -

        • flea_conn: Fleaflicker: returns franchise and division information.

          • -

        • mfl_conn: MFL: returns franchise and division information.

          • -

        • sleeper_conn: Sleeper: retrieves a list of franchise information, including user IDs and co-owner IDs.

          • -
        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(season = 2020, league_id = 1178049)
-
-ff_franchises(conn)
-
        #> # A tibble: 14 x 8
-#>    franchise_id franchise_name  franchise_abbrev logo      waiver_order user_id 
-#>           <int> <chr>           <chr>            <chr>            <int> <chr>   
-#>  1            1 Rushin' Collus~ RC               https://~            3 {6CE354~
-#>  2            2 Gurleys Gone W~ GGW              https://~            6 {74ADB5~
-#>  3            3 The Name's Mage Mage             http://i~           12 {141C9C~
-#>  4            4 dlp:: thoriyan  thor             https://~            5 {1E6BB1~
-#>  5            5 No Ultrasmurfs~ ALH              http://m~            9 {E88F51~
-#>  6            6 Dak Street Boys DSB              https://~           11 {441A52~
-#>  7            7 Kung-Fu Kenny   KDOT             https://~           10 {C60506~
-#>  8            8 Sticky Simians  LEL              https://~            4 {599F7D~
-#>  9            9 The Wright Stu~ TWS              NA                   8 {F831BD~
-#> 10           10 Too Many Cooks  COOK             https://~            7 {C9AE3C~
-#> 11           11 Team Typhon     TYPH             https://~           14 {070C02~
-#> 12           12 Homicidal Hicks HH               http://3~            1 {CBF269~
-#> 13           13 Baby You Can D~ POKE             http://v~           13 {A5DC83~
-#> 14           14 Boralus Booty   BB               https://~            2 {1778DE~
-#> # ... with 2 more variables: user_name <chr>, user_nickname <chr>
        # }
-
-# \donttest{
-conn <- fleaflicker_connect(season = 2020, league_id = 206154)
-ff_franchises(conn)
-
        #> # A tibble: 16 x 10
-#>    division_id division_name franchise_id franchise_name    franchise_logo      
-#>          <int> <chr>                <int> <chr>             <chr>               
-#>  1      606681 JDL North          1371776 Winter Hill Blac~ https://s3.amazonaw~
-#>  2      606681 JDL North          1373973 Red River Land T~ https://s3.amazonaw~
-#>  3      606681 JDL North          1373501 Midgard Gallows   https://s3.amazonaw~
-#>  4      606681 JDL North          1373991 Top City Terrors  https://s3.amazonaw~
-#>  5      606682 JDL East           1374255 Mushroom City Ka~ https://s3.amazonaw~
-#>  6      606682 JDL East           1373475 Winterfell Dire ~ https://s3.amazonaw~
-#>  7      606682 JDL East           1373480 Goldenrod City N~ https://s3.amazonaw~
-#>  8      606682 JDL East           1374252 Central City Cru~ https://s3.amazonaw~
-#>  9      606683 JDL South          1373970 Bamenda Herd      https://s3.amazonaw~
-#> 10      606683 JDL South          1374271 Clutch City Ball~ https://s3.amazonaw~
-#> 11      606683 JDL South          1374315 Shanghai Communi~ NA                  
-#> 12      606683 JDL South          1373993 Boomtown Sly Fox~ https://s3.amazonaw~
-#> 13      606684 JDL West           1373393 Philadelphia Fire https://s3.amazonaw~
-#> 14      606684 JDL West           1373535 Winterthur Angry~ https://s3.amazonaw~
-#> 15      606684 JDL West           1373883 Manitoba Marmots  NA                  
-#> 16      606684 JDL West           1373988 Springfield Isot~ https://s3.amazonaw~
-#> # ... with 5 more variables: franchise_abbrev <chr>, user_id <int>,
-#> #   user_name <chr>, user_avatar <chr>, user_lastlogin <dttm>
        # }
-
-# \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_franchises(ssb_conn)
-
        #> # A tibble: 14 x 7
-#>    franchise_id franchise_name  logo         icon        abbrev bbidAvailableBa~
-#>    <chr>        <chr>           <chr>        <chr>       <chr>  <chr>           
-#>  1 0001         Team Pikachu    https://i.i~ https://i.~ PIKA   159.00          
-#>  2 0002         Team Simon Bel~ https://i.i~ https://i.~ SIMN   99.00           
-#>  3 0003         Team Donkey Ko~ https://i.i~ https://i.~ DK     50.00           
-#>  4 0004         Team Ice Climb~ https://i.i~ https://i.~ ICE    0.00            
-#>  5 0005         Team Dr. Mario  https://i.i~ https://i.~ DRM    84.00           
-#>  6 0006         Team King Dede~ https://i.i~ https://i.~ KDDD   87.00           
-#>  7 0007         Team Kirby      https://i.i~ https://i.~ KRBY   40.00           
-#>  8 0008         Team Bowser     https://i.i~ https://i.~ BWSR   0.00            
-#>  9 0009         Team Link       https://i.i~ https://i.~ LINK   81.00           
-#> 10 0010         Team Yoshi      https://i.i~ https://i.~ YSHI   0.00            
-#> 11 0011         Team Diddy Kong https://i.i~ https://i.~ DDY    173.00          
-#> 12 0012         Team Mewtwo     https://i.i~ https://i.~ MEW2   0.00            
-#> 13 0013         Team Ness       https://i.i~ https://i.~ NESS   0.00            
-#> 14 0014         Team Luigi      https://i.i~ https://i.~ LUIG   0.00            
-#> # ... with 1 more variable: waiverSortOrder <chr>
        # }
-
-# \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_franchises(jml_conn)
-
        #> # A tibble: 12 x 5
-#>    franchise_id franchise_name    user_name      user_id            co_owners 
-#>           <int> <chr>             <chr>          <chr>              <list>    
-#>  1            1 Fake News         Jcurtis44      70729037081100288  <NULL>    
-#>  2            2 KingGabe          KingGabe       76686532077305856  <NULL>    
-#>  3            3 solarpool         solarpool      202892038360801280 <NULL>    
-#>  4            4 The FANTom Menace weeknee        202882046337490944 <NULL>    
-#>  5            5 Barbarians        ABitterHomer   386383436639973376 <NULL>    
-#>  6            6 sox05syd          sox05syd       409797051455393792 <NULL>    
-#>  7            7 Flipadelphia05    Flipadelphia05 386950378371207168 <NULL>    
-#>  8            8 Hocka Flocka      TwoFrames      386976568364306432 <NULL>    
-#>  9            9 ZPMiller97        ZPMiller97     386571720443764736 <NULL>    
-#> 10           10 JMLarkin          JMLarkin       387070108625039360 <NULL>    
-#> 11           11 Permian Panthers  theoracleETS   198540145396289536 <list [1]>
-#> 12           12 jaydk             jaydk          401485903224193024 <NULL>    
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_league.html b/docs/dev/reference/ff_league.html deleted file mode 100644 index 427d1b64..00000000 --- a/docs/dev/reference/ff_league.html +++ /dev/null @@ -1,362 +0,0 @@ - - - - - - - - -Get League Summary — ff_league • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        - - - - -
        - -
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        -

        Get League Summary

        - Source: R/0_generics.R, R/espn_league.R, R/flea_league.R, and 2 more - -
        - -
        -

        This function returns a tidy dataframe of common league settings, including details like "1QB" or "2QB/SF", scoring, best ball, team count, IDP etc. This is potentially useful in summarising the features of multiple leagues.

        -
        - - 
        ff_league(conn)
-
-# S3 method for espn_conn
-ff_league(conn)
-
-# S3 method for flea_conn
-ff_league(conn)
-
-# S3 method for mfl_conn
-ff_league(conn)
-
-# S3 method for sleeper_conn
-ff_league(conn)
        - -

        Arguments

        - - - - - - -
        conn

        the connection object created by ff_connect()

        - -

        Value

        - -

        A one-row summary of each league's main features.

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns a summary of league features.

          • -

        • flea_conn: Flea: returns a summary of league features.

          • -

        • mfl_conn: MFL: returns a summary of league features.

          • -

        • sleeper_conn: Sleeper: returns a summary of league features.

          • -
        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(season = 2020, league_id = 899513)
-ff_league(conn)
-
        #> # A tibble: 1 x 16
-#>   league_id league_name season league_type franchise_count qb_type idp  
-#>   <chr>     <chr>        <int> <chr>                 <int> <chr>   <lgl>
-#> 1 899513    Sucio Boys    2020 keeper                   10 2QB/SF  FALSE
-#> # ... with 9 more variables: scoring_flags <chr>, best_ball <lgl>,
-#> #   salary_cap <lgl>, player_copies <dbl>, years_active <chr>, qb_count <chr>,
-#> #   roster_size <int>, league_depth <dbl>, keeper_count <int>
        # }
-
-# \donttest{
-conn <- fleaflicker_connect(2020, 206154)
-ff_league(conn)
-
        #> # A tibble: 1 x 15
-#>   league_id league_name         season league_type franchise_count qb_type idp  
-#>   <chr>     <chr>                <int> <chr>                 <dbl> <chr>   <lgl>
-#> 1 206154    Jackpot Dynasty Le~   2020 dynasty                  16 1QB     TRUE 
-#> # ... with 8 more variables: scoring_flags <chr>, best_ball <lgl>,
-#> #   salary_cap <lgl>, player_copies <dbl>, qb_count <chr>, roster_size <int>,
-#> #   league_depth <dbl>, keeper_count <int>
        # }
-
-# \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_league(ssb_conn)
-
        #> # A tibble: 1 x 14
-#>   league_id league_name      season franchise_count qb_type idp   scoring_flags 
-#>   <chr>     <chr>             <int>           <dbl> <chr>   <lgl> <chr>         
-#> 1 54040     The Super Smash~   2020              14 1QB     FALSE 0.5_ppr, TEPr~
-#> # ... with 7 more variables: best_ball <lgl>, salary_cap <lgl>,
-#> #   player_copies <dbl>, years_active <chr>, qb_count <chr>, roster_size <dbl>,
-#> #   league_depth <dbl>
        # }
-
-# \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_league(jml_conn)
-
        #> # A tibble: 1 x 16
-#>   league_id    league_name      season league_type franchise_count qb_type idp  
-#>   <chr>        <chr>             <int> <chr>                 <dbl> <chr>   <lgl>
-#> 1 52245877331~ The JanMichaelL~   2020 dynasty                  12 1QB     FALSE
-#> # ... with 9 more variables: scoring_flags <chr>, best_ball <lgl>,
-#> #   salary_cap <lgl>, player_copies <dbl>, years_active <chr>, qb_count <chr>,
-#> #   roster_size <int>, league_depth <dbl>, prev_league_ids <chr>
        # }
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_playerscores.html b/docs/dev/reference/ff_playerscores.html deleted file mode 100644 index f6a5e755..00000000 --- a/docs/dev/reference/ff_playerscores.html +++ /dev/null @@ -1,395 +0,0 @@ - - - - - - - - -Get Player Scoring History — ff_playerscores • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
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        -

        Get Player Scoring History

        - Source: R/0_generics.R, R/espn_playerscores.R, R/flea_playerscores.R, and 2 more - -
        - -
        -

        This function returns a tidy dataframe of player scores based on league rules.

        -

        Unfortunately, Sleeper has deprecated their player stats endpoint from their supported/open API. -Please see ff_scoringhistory() for an alternative reconstruction.

        -
        - - 
        ff_playerscores(conn, ...)
-
-# S3 method for espn_conn
-ff_playerscores(conn, limit = 1000, ...)
-
-# S3 method for flea_conn
-ff_playerscores(conn, page_limit = NULL, ...)
-
-# S3 method for mfl_conn
-ff_playerscores(conn, season, week, ...)
-
-# S3 method for sleeper_conn
-ff_playerscores(conn, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        ...

        other arguments (currently unused)

        limit

        A numeric describing the number of players to return - default 1000

        page_limit

        A numeric describing the number of pages to return - default NULL returns all available

        season

        the season of interest - generally only the most recent 2-3 seasons are available

        week

        a numeric vector (ie 1:17) or one of YTD (year-to-date) or AVG (average to date)

        - -

        Value

        - -

        A tibble of historical player scoring

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns total points for season and average per game, for both current and previous season.

          • -

        • flea_conn: Fleaflicker: returns the season, season average, and standard deviation

          • -

        • mfl_conn: MFL: returns the player fantasy scores for each week (not the actual stats)

          • -

        • sleeper_conn: Sleeper: Deprecated their open API endpoint for player scores

          • -
        -

        See also

        - -

        ff_scoringhistory

        - -

        Examples

        - 
        # \donttest{
-
-conn <- espn_connect(season = 2020, league_id = 899513)
-ff_playerscores(conn, limit = 5)
-
        #> # A tibble: 5 x 8
-#>   season player_id player_name     pos   score_total score_average franchise_id
-#>    <int>     <int> <chr>           <chr>       <dbl>         <dbl>        <int>
-#> 1   2020   3054850 Alvin Kamara    RB           337.          22.5            9
-#> 2   2020   3043078 Derrick Henry   RB           324.          20.2            4
-#> 3   2020     16800 Davante Adams   WR           301.          21.5            2
-#> 4   2020     15795 DeAndre Hopkins WR           230.          14.4            4
-#> 5   2020   2576925 Darren Waller   TE           225.          14.1            4
-#> # ... with 1 more variable: franchise_name <chr>
        # }
-# \donttest{
-
-conn <- fleaflicker_connect(2020, 312861)
-x <- ff_playerscores(conn, page_limit = 2)
-x
-
        #> # A tibble: 60 x 8
-#>    player_id player_name     pos   team  games score_total score_avg score_sd
-#>        <int> <chr>           <chr> <chr> <dbl>       <dbl>     <dbl>    <dbl>
-#>  1     13761 Josh Allen      QB    BUF      16        550.      34.4    10.4 
-#>  2      3452 Aaron Rodgers   QB    GB       16        542.      33.8     8.49
-#>  3     12894 Patrick Mahomes QB    KC       15        520.      34.6     9.95
-#>  4      8598 Russell Wilson  QB    SEA      16        513.      32.1    10.8 
-#>  5     14664 Kyler Murray    QB    ARI      16        507.      31.7    11.9 
-#>  6     12919 Deshaun Watson  QB    HOU      16        503.      31.5     7.96
-#>  7       309 Tom Brady       QB    TB       16        488.      30.5    12.2 
-#>  8      8514 Ryan Tannehill  QB    TEN      16        469.      29.3     9.76
-#>  9     15516 Justin Herbert  QB    LAC      15        459.      30.6     9.67
-#> 10      8625 Kirk Cousins    QB    MIN      16        446.      27.9     9.8 
-#> # ... with 50 more rows
        # }
-# \donttest{
-sfb_conn <- mfl_connect(2020, league_id = 65443)
-ff_playerscores(conn = sfb_conn, season = 2019, week = "YTD")
-
        #> # A tibble: 589 x 8
-#>    season week  player_id player_name          pos   team  points is_available
-#>     <dbl> <chr> <chr>     <chr>                <chr> <chr>  <dbl> <chr>       
-#>  1   2019 YTD   13593     Jackson, Lamar       QB    BAL     489. 1           
-#>  2   2019 YTD   13130     McCaffrey, Christian RB    CAR     447. 1           
-#>  3   2019 YTD   12652     Thomas, Michael      WR    NOS     338. 1           
-#>  4   2019 YTD   13113     Watson, Deshaun      QB    HOU     330. 1           
-#>  5   2019 YTD   11244     Kelce, Travis        TE    KCC     317. 1           
-#>  6   2019 YTD   10703     Wilson, Russell      QB    SEA     315. 1           
-#>  7   2019 YTD   12620     Prescott, Dak        QB    DAL     314. 1           
-#>  8   2019 YTD   13128     Cook, Dalvin         RB    MIN     313. 1           
-#>  9   2019 YTD   13319     Jones, Aaron         RB    GBP     312  1           
-#> 10   2019 YTD   12625     Elliott, Ezekiel     RB    DAL     309. 1           
-#> # ... with 579 more rows
        # }
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_rosters.html b/docs/dev/reference/ff_rosters.html deleted file mode 100644 index deaa75d9..00000000 --- a/docs/dev/reference/ff_rosters.html +++ /dev/null @@ -1,394 +0,0 @@ - - - - - - - - -Get League Rosters — ff_rosters • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get League Rosters

        - Source: R/0_generics.R, R/espn_rosters.R, R/flea_rosters.R, and 2 more - -
        - -
        -

        This function returns a tidy dataframe of team rosters

        -
        - - 
        ff_rosters(conn, ...)
-
-# S3 method for espn_conn
-ff_rosters(conn, week = NULL, ...)
-
-# S3 method for flea_conn
-ff_rosters(conn, ...)
-
-# S3 method for mfl_conn
-ff_rosters(conn, custom_players = deprecated(), week = NULL, ...)
-
-# S3 method for sleeper_conn
-ff_rosters(conn, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        ...

        arguments passed to other methods (currently none)

        week

        a numeric that specifies which week to return

        custom_players

        [Deprecated] - now returns custom players by default

        - -

        Value

        - -

        A tidy dataframe of rosters, joined to basic player information and basic franchise information

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: Returns all roster data.

          • -

        • flea_conn: Fleaflicker: Returns roster data (minus age as of right now)

          • -

        • mfl_conn: MFL: returns roster data

          • -

        • sleeper_conn: Sleeper: Returns all roster data.

          • -
        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(season = 2020, league_id = 899513)
-ff_league(conn)
-
        #> # A tibble: 1 x 16
-#>   league_id league_name season league_type franchise_count qb_type idp  
-#>   <chr>     <chr>        <int> <chr>                 <int> <chr>   <lgl>
-#> 1 899513    Sucio Boys    2020 keeper                   10 2QB/SF  FALSE
-#> # ... with 9 more variables: scoring_flags <chr>, best_ball <lgl>,
-#> #   salary_cap <lgl>, player_copies <dbl>, years_active <chr>, qb_count <chr>,
-#> #   roster_size <int>, league_depth <dbl>, keeper_count <int>
        # }
-# \donttest{
-joe_conn <- ff_connect(platform = "fleaflicker", league_id = 312861, season = 2020)
-ff_rosters(joe_conn)
-
        #> # A tibble: 282 x 7
-#>    franchise_id franchise_name player_id player_name  pos   team  sportradar_id 
-#>           <int> <chr>              <int> <chr>        <chr> <chr> <chr>         
-#>  1      1578553 Running Bear       12032 Carson Wentz QB    IND   e9a5c16b-4472~
-#>  2      1578553 Running Bear       12159 Dak Prescott QB    DAL   86197778-8d4b~
-#>  3      1578553 Running Bear       13325 Austin Ekel~ RB    LAC   e5b8c439-a48a~
-#>  4      1578553 Running Bear       12926 Chris Godwin WR    TB    baa61bb5-f8d0~
-#>  5      1578553 Running Bear       16250 Ja'Marr Cha~ WR    CIN   fa99e984-d63b~
-#>  6      1578553 Running Bear        6660 Antonio Bro~ WR    TB    16e33176-b73e~
-#>  7      1578553 Running Bear        8429 Marvin Jones WR    JAC   1a2fbc23-e6db~
-#>  8      1578553 Running Bear       13788 Michael Gal~ WR    DAL   9e174ff2-ca0e~
-#>  9      1578553 Running Bear       15531 Brandon Aiy~ WR    SF    c90471cc-fa60~
-#> 10      1578553 Running Bear        7378 Cam Newton   QB    NE    214e55e4-a089~
-#> # ... with 272 more rows
        # }
-# \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_rosters(ssb_conn)
-
        #> # A tibble: 442 x 11
-#>    franchise_id franchise_name player_id player_name           pos   team    age
-#>    <chr>        <chr>          <chr>     <chr>                 <chr> <chr> <dbl>
-#>  1 0001         Team Pikachu   13189     Engram, Evan          TE    NYG    26.8
-#>  2 0001         Team Pikachu   11680     Landry, Jarvis        WR    CLE    28.5
-#>  3 0001         Team Pikachu   13645     Smith, Tre'Quan       WR    NOS    25.4
-#>  4 0001         Team Pikachu   12110     Brate, Cameron        TE    TBB    29.9
-#>  5 0001         Team Pikachu   13168     Reynolds, Josh        WR    LAR    26.3
-#>  6 0001         Team Pikachu   13793     Valdes-Scantling, Ma~ WR    GBP    26.7
-#>  7 0001         Team Pikachu   13377     Patrick, Tim          WR    DEN    27.5
-#>  8 0001         Team Pikachu   13254     Shaheen, Adam         TE    MIA    27.4
-#>  9 0001         Team Pikachu   14803     Edwards-Helaire, Cly~ RB    KCC    22.2
-#> 10 0001         Team Pikachu   14838     Shenault, Laviska     WR    JAC    22.7
-#> # ... with 432 more rows, and 4 more variables: roster_status <chr>,
-#> #   drafted <chr>, draft_year <chr>, draft_round <chr>
        # }
-
-# \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_rosters(jml_conn)
-
        #> # A tibble: 350 x 7
-#>    franchise_id franchise_name player_id player_name     pos   team    age
-#>    <chr>        <chr>          <chr>     <chr>           <chr> <chr> <dbl>
-#>  1 1            Fake News      1110      T.Y. Hilton     WR    IND    31.6
-#>  2 1            Fake News      1339      Zach Ertz       TE    PHI    30.6
-#>  3 1            Fake News      1426      DeAndre Hopkins WR    ARI    29  
-#>  4 1            Fake News      1825      Jarvis Landry   WR    CLE    28.5
-#>  5 1            Fake News      2025      Albert Wilson   WR    MIA    28.9
-#>  6 1            Fake News      2197      Brandin Cooks   WR    HOU    27.7
-#>  7 1            Fake News      2319      DeVante Parker  WR    MIA    28.4
-#>  8 1            Fake News      232       Frank Gore      RB    NYJ    38.1
-#>  9 1            Fake News      2822      Adam Humphries  WR    WAS    28  
-#> 10 1            Fake News      289       Drew Brees      QB    NO     42.4
-#> # ... with 340 more rows
        # }
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_schedule.html b/docs/dev/reference/ff_schedule.html deleted file mode 100644 index 8aee549f..00000000 --- a/docs/dev/reference/ff_schedule.html +++ /dev/null @@ -1,386 +0,0 @@ - - - - - - - - -Get Schedule — ff_schedule • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
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        Get Schedule

        - Source: R/0_generics.R, R/espn_schedule.R, R/flea_schedule.R, and 2 more - -
        - -
        -

        This function returns a tidy dataframe with one row for every team for every weekly matchup

        -
        - - 
        ff_schedule(conn, ...)
-
-# S3 method for espn_conn
-ff_schedule(conn, ...)
-
-# S3 method for flea_conn
-ff_schedule(conn, week = 1:17, ...)
-
-# S3 method for mfl_conn
-ff_schedule(conn, ...)
-
-# S3 method for sleeper_conn
-ff_schedule(conn, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        ...

        for other platforms

        week

        a numeric or numeric vector specifying which weeks to pull

        - -

        Value

        - -

        A tidy dataframe with one row per game per franchise per week

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns schedule data, one row for every franchise for every week. Completed games have result data.

          • -

        • flea_conn: Flea: returns schedule data, one row for every franchise for every week. Completed games have result data.

          • -

        • mfl_conn: MFL: returns schedule data, one row for every franchise for every week. Completed games have result data.

          • -

        • sleeper_conn: Sleeper: returns all schedule data

          • -
        - -

        Examples

        - 
        # \donttest{
-espn_conn <- espn_connect(season = 2020, league_id = 899513)
-ff_schedule(espn_conn)
-
        #> # A tibble: 140 x 6
-#>     week franchise_id franchise_score result opponent_id opponent_score
-#>    <int>        <int>           <dbl> <chr>        <int>          <dbl>
-#>  1     1            1            102. L                4           130.
-#>  2     1            2            156. W                3           135.
-#>  3     1            3            135. L                2           156.
-#>  4     1            4            130. W                1           102.
-#>  5     1            5            133. W                7           131.
-#>  6     1            6            119. L                9           124.
-#>  7     1            7            131. L                5           133.
-#>  8     1            8            120. L               10           122.
-#>  9     1            9            124. W                6           119.
-#> 10     1           10            122. W                8           120.
-#> # ... with 130 more rows
        # }
-
-# \donttest{
-conn <- fleaflicker_connect(season = 2019, league_id = 206154)
-x <- ff_schedule(conn, week = 2:4)
-# }
-
-# \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_schedule(ssb_conn)
-
        #> # A tibble: 234 x 6
-#>     week franchise_id franchise_score result opponent_id opponent_score
-#>    <dbl> <chr>                  <dbl> <chr>  <chr>                <dbl>
-#>  1     1 0001                    123. W      0002                  103.
-#>  2     1 0002                    103. L      0001                  123.
-#>  3     1 0003                    128. L      0004                  174.
-#>  4     1 0004                    174. W      0003                  128.
-#>  5     1 0005                    144. W      0011                  130.
-#>  6     1 0006                    173. W      0013                  125.
-#>  7     1 0007                    145. W      0010                  127.
-#>  8     1 0008                    185. W      0009                  176.
-#>  9     1 0009                    176. L      0008                  185.
-#> 10     1 0010                    127. L      0007                  145.
-#> # ... with 224 more rows
        # }
-
-# \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_schedule(jml_conn)
-
        #> # A tibble: 184 x 6
-#>     week franchise_id franchise_score opponent_id opponent_score result
-#>    <int>        <int>           <dbl>       <int>          <dbl> <chr> 
-#>  1     1            1            97.8          12          160.  L     
-#>  2     1            2            65.9           8           70.2 L     
-#>  3     1            3           103.           10           71   W     
-#>  4     1            4           133.            7          106.  W     
-#>  5     1            5            82.4           6           99.3 L     
-#>  6     1            6            99.3           5           82.4 W     
-#>  7     1            7           106.            4          133.  L     
-#>  8     1            8            70.2           2           65.9 W     
-#>  9     1            9            78.3          11          147   L     
-#> 10     1           10            71             3          103.  L     
-#> # ... with 174 more rows
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_scoring.html b/docs/dev/reference/ff_scoring.html deleted file mode 100644 index b518de95..00000000 --- a/docs/dev/reference/ff_scoring.html +++ /dev/null @@ -1,394 +0,0 @@ - - - - - - - - -Get League Scoring Settings — ff_scoring • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get League Scoring Settings

        - Source: R/0_generics.R, R/espn_scoring.R, R/flea_scoring.R, and 2 more - -
        - -
        -

        This function returns a dataframe with detailed scoring settings for each league - broken down by event, points, and (if available) position.

        -
        - - 
        ff_scoring(conn)
-
-# S3 method for espn_conn
-ff_scoring(conn)
-
-# S3 method for flea_conn
-ff_scoring(conn)
-
-# S3 method for mfl_conn
-ff_scoring(conn)
-
-# S3 method for sleeper_conn
-ff_scoring(conn)
        - -

        Arguments

        - - - - - - -
        conn

        a conn object created by ff_connect()

        - -

        Value

        - -

        A tibble of league scoring rules for each position defined.

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns scoring settings in a flat table, override positions have their own scoring.

          • -

        • flea_conn: Fleaflicker: returns scoring settings in a flat table, one row per position per rule.

          • -

        • mfl_conn: MFL: returns scoring settings in a flat table, one row per position per rule.

          • -

        • sleeper_conn: Sleeper: returns scoring settings in a flat table, one row per position per rule.

          • -
        -

        See also

        - -

        http://www03.myfantasyleague.com/2020/scoring_rules#rules

        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(season = 2020, league_id = 899513)
-ff_scoring(conn)
-
        #> # A tibble: 627 x 4
-#>    pos   points stat_id stat_name                    
-#>    <chr>  <dbl>   <int> <chr>                        
-#>  1 QB         0     133 defensive400To449YardsAllowed
-#>  2 RB         0     133 defensive400To449YardsAllowed
-#>  3 WR         0     133 defensive400To449YardsAllowed
-#>  4 TE         0     133 defensive400To449YardsAllowed
-#>  5 K          0     133 defensive400To449YardsAllowed
-#>  6 P          0     133 defensive400To449YardsAllowed
-#>  7 DT         0     133 defensive400To449YardsAllowed
-#>  8 DE         0     133 defensive400To449YardsAllowed
-#>  9 LB         0     133 defensive400To449YardsAllowed
-#> 10 CB         0     133 defensive400To449YardsAllowed
-#> # ... with 617 more rows
        # }
-
-# \donttest{
-joe_conn <- ff_connect(platform = "fleaflicker", league_id = 312861, season = 2020)
-ff_scoring(joe_conn)
-
        #> # A tibble: 72 x 7
-#>    pos   event           abbrev points label  desc                      event_id
-#>    <chr> <chr>           <chr>   <dbl> <chr>  <chr>                        <int>
-#>  1 QB    Passing Yard    Yd       0.04 Passi~ 1 point for every 25 Pas~        3
-#>  2 RB    Passing Yard    Yd       0.04 Passi~ 1 point for every 25 Pas~        3
-#>  3 WR    Passing Yard    Yd       0.04 Passi~ 1 point for every 25 Pas~        3
-#>  4 TE    Passing Yard    Yd       0.04 Passi~ 1 point for every 25 Pas~        3
-#>  5 QB    Passing TD      TD       6    Passi~ 6 points for every Passi~        5
-#>  6 RB    Passing TD      TD       6    Passi~ 6 points for every Passi~        5
-#>  7 WR    Passing TD      TD       6    Passi~ 6 points for every Passi~        5
-#>  8 TE    Passing TD      TD       6    Passi~ 6 points for every Passi~        5
-#>  9 QB    2 Pt Conversio~ 2PC      2    Passi~ 2 points for every 2 Pt ~        4
-#> 10 RB    2 Pt Conversio~ 2PC      2    Passi~ 2 points for every 2 Pt ~        4
-#> # ... with 62 more rows
        # }
-
-# \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_scoring(ssb_conn)
-
        #> # A tibble: 71 x 6
-#>    pos   points range  event short_desc       long_desc                         
-#>    <chr>  <dbl> <chr>  <chr> <chr>            <chr>                             
-#>  1 QB      6    0-10   #P    Number of Passi~ "This is the total number of Pass~
-#>  2 RB      6    0-10   #P    Number of Passi~ "This is the total number of Pass~
-#>  3 WR      6    0-10   #P    Number of Passi~ "This is the total number of Pass~
-#>  4 TE      6    0-10   #P    Number of Passi~ "This is the total number of Pass~
-#>  5 QB      0.04 -50-9~ PY    Passing Yards    "This is the total passing yardag~
-#>  6 RB      0.04 -50-9~ PY    Passing Yards    "This is the total passing yardag~
-#>  7 WR      0.04 -50-9~ PY    Passing Yards    "This is the total passing yardag~
-#>  8 TE      0.04 -50-9~ PY    Passing Yards    "This is the total passing yardag~
-#>  9 QB     -4    0-10   IN    Pass Intercepti~ "This is the number of pass inter~
-#> 10 RB     -4    0-10   IN    Pass Intercepti~ "This is the number of pass inter~
-#> # ... with 61 more rows
        # }
-
-# \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_scoring(jml_conn)
-
        #> # A tibble: 169 x 3
-#>    pos   event    points
-#>    <chr> <chr>     <dbl>
-#>  1 QB    pass_2pt      2
-#>  2 RB    pass_2pt      2
-#>  3 WR    pass_2pt      2
-#>  4 TE    pass_2pt      2
-#>  5 K     pass_2pt      2
-#>  6 QB    pass_int     -2
-#>  7 RB    pass_int     -2
-#>  8 WR    pass_int     -2
-#>  9 TE    pass_int     -2
-#> 10 K     pass_int     -2
-#> # ... with 159 more rows
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_scoringhistory.html b/docs/dev/reference/ff_scoringhistory.html deleted file mode 100644 index 86a0b690..00000000 --- a/docs/dev/reference/ff_scoringhistory.html +++ /dev/null @@ -1,391 +0,0 @@ - - - - - - - - -Get League-Specific Scoring History — ff_scoringhistory • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get League-Specific Scoring History

        - Source: R/0_generics.R, R/espn_scoringhistory.R, R/flea_scoringhistory.R, and 2 more - -
        - -
        -

        (Experimental!) This function reads your league's ff_scoring rules and maps them to nflfastr week-level data. -Not all of the scoring rules from your league may have nflfastr equivalents, but most of the common ones are available!

        -
        - - 
        ff_scoringhistory(conn, season, ...)
-
-# S3 method for espn_conn
-ff_scoringhistory(conn, season = 1999:2020, ...)
-
-# S3 method for flea_conn
-ff_scoringhistory(conn, season = 1999:2020, ...)
-
-# S3 method for mfl_conn
-ff_scoringhistory(conn, season = 1999:2020, ...)
-
-# S3 method for sleeper_conn
-ff_scoringhistory(conn, season = 1999:2020, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        season

        season a numeric vector of seasons (earliest available year is 1999)

        ...

        other arguments

        - -

        Value

        - -

        A tidy dataframe of weekly fantasy scoring data, one row per player per week

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns scoring history in a flat table, one row per player per week.

          • -

        • flea_conn: Fleaflicker: returns scoring history in a flat table, one row per player per week.

          • -

        • mfl_conn: MFL: returns scoring history in a flat table, one row per player per week.

          • -

        • sleeper_conn: Sleeper: returns scoring history in a flat table, one row per player per week.

          • -
        -

        See also

        - -

        https://www.nflfastr.com/reference/load_player_stats.html

        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(season = 2020, league_id = 899513)
-ff_scoringhistory(conn)
-
        #> # A tibble: 112,291 x 24
-#>    season  week gsis_id    sportradar_id espn_id player_name pos   team  points
-#>     <dbl> <int> <chr>      <chr>           <int> <chr>       <chr> <chr>  <dbl>
-#>  1   1999     1 00-0000003 NA                 NA A.al-Jabbar RB    MIA     13.2
-#>  2   1999     2 00-0000003 NA                 NA A.al-Jabbar RB    MIA      6.6
-#>  3   1999     4 00-0000003 NA                 NA A.al-Jabbar RB    MIA      0.2
-#>  4   1999     7 00-0000003 NA                 NA A.al-Jabbar RB    CLE      4.5
-#>  5   1999     8 00-0000003 NA                 NA A.al-Jabbar RB    CLE      3.9
-#>  6   1999     9 00-0000003 NA                 NA A.al-Jabbar RB    CLE      3  
-#>  7   1999    10 00-0000003 NA                 NA A.al-Jabbar RB    CLE      6.6
-#>  8   1999    11 00-0000003 NA                 NA A.al-Jabbar RB    CLE      2.3
-#>  9   1999    12 00-0000003 NA                 NA A.al-Jabbar RB    CLE      4.1
-#> 10   1999    13 00-0000003 NA                 NA A.al-Jabbar RB    CLE      5.5
-#> # ... with 112,281 more rows, and 15 more variables: passing_yards <dbl>,
-#> #   passing_tds <dbl>, interceptions <dbl>, sack_fumbles_lost <dbl>,
-#> #   passing_2pt_conversions <dbl>, rushing_yards <dbl>, rushing_tds <dbl>,
-#> #   rushing_fumbles_lost <dbl>, rushing_2pt_conversions <dbl>,
-#> #   receptions <dbl>, receiving_yards <dbl>, receiving_tds <dbl>,
-#> #   receiving_fumbles_lost <dbl>, receiving_2pt_conversions <dbl>,
-#> #   special_teams_tds <dbl>
        # }
-
-# \donttest{
-# conn <- fleaflicker_connect(2020, 312861)
-ff_scoringhistory(conn, season = 2020)
-
        #> # A tibble: 5,423 x 24
-#>    season  week gsis_id  sportradar_id    espn_id player_name pos   team  points
-#>     <dbl> <int> <chr>    <chr>              <int> <chr>       <chr> <chr>  <dbl>
-#>  1   2020     1 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     20.5 
-#>  2   2020     2 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB      8.68
-#>  3   2020     3 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     23.9 
-#>  4   2020     4 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     32.5 
-#>  5   2020     5 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     14.1 
-#>  6   2020     6 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     14.6 
-#>  7   2020     7 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     36.9 
-#>  8   2020     8 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     19.1 
-#>  9   2020     9 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB      2.36
-#> 10   2020    10 00-0019~ 41c44740-d0f6-4~    2330 T.Brady     QB    TB     31.8 
-#> # ... with 5,413 more rows, and 15 more variables: passing_yards <dbl>,
-#> #   passing_tds <dbl>, interceptions <dbl>, sack_fumbles_lost <dbl>,
-#> #   passing_2pt_conversions <dbl>, rushing_yards <dbl>, rushing_tds <dbl>,
-#> #   rushing_fumbles_lost <dbl>, rushing_2pt_conversions <dbl>,
-#> #   receptions <dbl>, receiving_yards <dbl>, receiving_tds <dbl>,
-#> #   receiving_fumbles_lost <dbl>, receiving_2pt_conversions <dbl>,
-#> #   special_teams_tds <dbl>
        # }
-
-# \donttest{
-# ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-# ff_scoringhistory(ssb_conn)
-# }
-
-# \donttest{
-#'
-# conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-# ff_scoringhistory(conn, season = 2020)
-# }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_standings.html b/docs/dev/reference/ff_standings.html deleted file mode 100644 index dbaeaf1e..00000000 --- a/docs/dev/reference/ff_standings.html +++ /dev/null @@ -1,404 +0,0 @@ - - - - - - - - -Get Standings — ff_standings • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get Standings

        - Source: R/0_generics.R, R/espn_standings.R, R/flea_standings.R, and 2 more - -
        - -
        -

        This function returns a tidy dataframe of season-long fantasy team stats, including H2H wins as well as points, potential points, and all-play.

        -
        - - 
        ff_standings(conn, ...)
-
-# S3 method for espn_conn
-ff_standings(conn, ...)
-
-# S3 method for flea_conn
-ff_standings(conn, include_allplay = TRUE, include_potentialpoints = TRUE, ...)
-
-# S3 method for mfl_conn
-ff_standings(conn, ...)
-
-# S3 method for sleeper_conn
-ff_standings(conn, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        ...

        arguments passed to other methods (currently none)

        include_allplay

        TRUE/FALSE - return all-play win pct calculation? defaults to TRUE

        include_potentialpoints

        TRUE/FALSE - return potential points calculation? defaults to TRUE.

        - -

        Value

        - -

        A tidy dataframe of standings data

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns standings and points data.

          • -

        • flea_conn: Fleaflicker: returns H2H/points/all-play/best-ball data in a table.

          • -

        • mfl_conn: MFL: returns H2H/points/all-play/best-ball data in a table.

          • -

        • sleeper_conn: Sleeper: returns all standings and points data and manually calculates allplay results.

          • -
        - -

        Examples

        - 
        # \donttest{
-espn_conn <- espn_connect(season = 2020, league_id = 899513)
-ff_standings(espn_conn)
-
        #> # A tibble: 10 x 12
-#>    franchise_id franchise_name          league_rank h2h_wins h2h_losses h2h_ties
-#>           <int> <chr>                         <int>    <int>      <int>    <int>
-#>  1            1 "The Early GGod"                  7        3          9        0
-#>  2            2 "Coom  Dumpster"                  3        7          5        0
-#>  3            3 "PAKI STANS"                      6        4          8        0
-#>  4            4 "I'm Also Sad "                   5        7          5        0
-#>  5            5 "The Juggernaut"                  1        9          3        0
-#>  6            6 "OBJ's Personal Porta ~           4        8          4        0
-#>  7            7 "Tony El Tigre"                   9        5          7        0
-#>  8            8 "Big Coomers"                     8        6          6        0
-#>  9            9 "RAFI CUNADO"                     2        7          5        0
-#> 10           10 "Austin \U0001f410Drew~          10        4          8        0
-#> # ... with 6 more variables: h2h_winpct <dbl>, points_for <dbl>,
-#> #   points_against <dbl>, allplay_wins <dbl>, allplay_losses <dbl>,
-#> #   allplay_winpct <dbl>
        # }
-
-# \donttest{
-conn <- fleaflicker_connect(season = 2020, league_id = 206154)
-x <- ff_standings(conn)
-# }
-
-# \donttest{
-ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_standings(ssb_conn)
-
        #> # A tibble: 14 x 20
-#>    franchise_id franchise_name     h2h_wins h2h_losses h2h_ties h2h_winpct
-#>    <chr>        <chr>                 <dbl>      <dbl>    <dbl>      <dbl>
-#>  1 0009         Team Link                10          3        0      0.769
-#>  2 0010         Team Yoshi                9          4        0      0.692
-#>  3 0014         Team Luigi               10          3        0      0.769
-#>  4 0003         Team Donkey Kong          6          7        0      0.462
-#>  5 0006         Team King Dedede          8          5        0      0.615
-#>  6 0011         Team Diddy Kong           8          5        0      0.615
-#>  7 0008         Team Bowser               7          6        0      0.538
-#>  8 0007         Team Kirby                7          6        0      0.538
-#>  9 0002         Team Simon Belmont        6          7        0      0.462
-#> 10 0004         Team Ice Climbers         5          8        0      0.385
-#> 11 0005         Team Dr. Mario            5          8        0      0.385
-#> 12 0013         Team Ness                 3         10        0      0.231
-#> 13 0012         Team Mewtwo               4          9        0      0.308
-#> 14 0001         Team Pikachu              3         10        0      0.231
-#> # ... with 14 more variables: allplay_wins <dbl>, allplay_losses <dbl>,
-#> #   allplay_ties <dbl>, allplay_winpct <dbl>, points_for <dbl>,
-#> #   points_against <dbl>, max_points_against <dbl>, min_points_against <dbl>,
-#> #   potential_points <dbl>, victory_points <dbl>, offensive_points <dbl>,
-#> #   defensive_points <dbl>, power_rank <dbl>, power_rank_alt <dbl>
        # }
-
-# \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-ff_standings(jml_conn)
-
        #> # A tibble: 12 x 12
-#>    franchise_id franchise_name    h2h_wins h2h_losses h2h_ties h2h_winpct
-#>           <int> <chr>                <dbl>      <dbl>    <dbl>      <dbl>
-#>  1            1 Fake News                8          5        0     0.615 
-#>  2            2 KingGabe                 1         12        0     0.0769
-#>  3            3 solarpool                8          5        0     0.615 
-#>  4            4 The FANTom Menace        8          5        0     0.615 
-#>  5            5 Barbarians               6          7        0     0.462 
-#>  6            6 sox05syd                 8          5        0     0.615 
-#>  7            7 Flipadelphia05          10          3        0     0.769 
-#>  8            8 Hocka Flocka             7          6        0     0.538 
-#>  9            9 ZPMiller97               4          9        0     0.308 
-#> 10           10 JMLarkin                 1         12        0     0.0769
-#> 11           11 Permian Panthers         8          5        0     0.615 
-#> 12           12 jaydk                    9          4        0     0.692 
-#> # ... with 6 more variables: points_for <dbl>, points_against <dbl>,
-#> #   potential_points <dbl>, allplay_wins <dbl>, allplay_losses <dbl>,
-#> #   allplay_winpct <dbl>
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_starter_positions.html b/docs/dev/reference/ff_starter_positions.html deleted file mode 100644 index 89bc4956..00000000 --- a/docs/dev/reference/ff_starter_positions.html +++ /dev/null @@ -1,377 +0,0 @@ - - - - - - - - -Get Starting Lineup Settings — ff_starter_positions • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get Starting Lineup Settings

        - Source: R/0_generics.R, R/espn_starterpositions.R, R/flea_starterpositions.R, and 2 more - -
        - -
        -

        This function returns a tidy dataframe with positional lineup rules.

        -
        - - 
        ff_starter_positions(conn, ...)
-
-# S3 method for espn_conn
-ff_starter_positions(conn, ...)
-
-# S3 method for flea_conn
-ff_starter_positions(conn, ...)
-
-# S3 method for mfl_conn
-ff_starter_positions(conn, ...)
-
-# S3 method for sleeper_conn
-ff_starter_positions(conn, ...)
        - -

        Arguments

        - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        ...

        other arguments (currently unused)

        - -

        Value

        - -

        A tidy dataframe of positional lineup rules, one row per position with minimum and maximum starters as well as total starter calculations.

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns min/max starters for each main player position

          • -

        • flea_conn: Fleaflicker: returns minimum and maximum starters for each player position.

          • -

        • mfl_conn: MFL: returns minimum and maximum starters for each player position.

          • -

        • sleeper_conn: Sleeper: returns minimum and maximum starters for each player position.

          • -
        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(season = 2020, league_id = 1178049)
-ff_starter_positions(conn)
-
        #> # A tibble: 6 x 7
-#>   pos     min   max offense_starters defense_starters kdst_starters
-#>   <chr> <int> <int>            <int>            <int>         <int>
-#> 1 QB        1     1                7                0             2
-#> 2 RB        2     4                7                0             2
-#> 3 WR        3     5                7                0             2
-#> 4 TE        1     3                7                0             2
-#> 5 DST       1     1                7                0             2
-#> 6 K         1     1                7                0             2
-#> # ... with 1 more variable: total_starters <int>
        # }
-
-# \donttest{
-conn <- fleaflicker_connect(season = 2020, league_id = 206154)
-ff_starter_positions(conn)
-
        #> # A tibble: 10 x 7
-#>    pos     min   max offense_starters defense_starters kdst_starters
-#>    <chr> <dbl> <dbl>            <dbl>            <dbl>         <dbl>
-#>  1 CB        2     4                7                8             1
-#>  2 EDR       0     4                7                8             1
-#>  3 IL        0     4                7                8             1
-#>  4 K         1     1                7                8             1
-#>  5 LB        2     4                7                8             1
-#>  6 QB        1     1                7                8             1
-#>  7 RB        2     3                7                8             1
-#>  8 S         2     4                7                8             1
-#>  9 TE        1     2                7                8             1
-#> 10 WR        2     3                7                8             1
-#> # ... with 1 more variable: total_starters <dbl>
        # }
-
-# \donttest{
-dlfidp_conn <- mfl_connect(2020, league_id = 33158)
-ff_starter_positions(conn = dlfidp_conn)
-
        #> # A tibble: 9 x 7
-#>   pos     min   max offense_starters defense_starters kdst_starters
-#>   <chr> <int> <int>            <dbl>            <dbl>         <int>
-#> 1 QB        1     1                8               10             0
-#> 2 RB        1     6                8               10             0
-#> 3 WR        1     6                8               10             0
-#> 4 TE        0     5                8               10             0
-#> 5 DT        1     3                8               10             0
-#> 6 DE        2     4                8               10             0
-#> 7 LB        2     4                8               10             0
-#> 8 CB        2     4                8               10             0
-#> 9 S         1     3                8               10             0
-#> # ... with 1 more variable: total_starters <int>
        # }
-
-# \donttest{
-jml_conn <- sleeper_connect(league_id = "652718526494253056", season = 2021)
-jml_starters <- ff_starter_positions(jml_conn)
-# }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_starters.html b/docs/dev/reference/ff_starters.html deleted file mode 100644 index 7fc133a5..00000000 --- a/docs/dev/reference/ff_starters.html +++ /dev/null @@ -1,383 +0,0 @@ - - - - - - - - -Get Starting Lineups — ff_starters • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
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        -
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        Get Starting Lineups

        - Source: R/0_generics.R, R/espn_starters.R, R/flea_starters.R, and 2 more - -
        - -
        -

        This function returns a tidy dataframe with one row for every starter (and bench) for every week and their scoring, if available.

        -
        - - 
        ff_starters(conn, ...)
-
-# S3 method for espn_conn
-ff_starters(conn, weeks = 1:17, ...)
-
-# S3 method for flea_conn
-ff_starters(conn, week = 1:17, ...)
-
-# S3 method for mfl_conn
-ff_starters(conn, week = 1:17, season = NULL, ...)
-
-# S3 method for sleeper_conn
-ff_starters(conn, week = 1:17, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        ...

        other arguments (currently unused)

        weeks

        which weeks to calculate, a number or numeric vector

        week

        a numeric or one of YTD (year-to-date) or AVG (average to date)

        season

        the season of interest - generally only the most recent 2-3 seasons are available

        - -

        Value

        - -

        A tidy dataframe with every player for every week, including a flag for whether they were started or not

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns who was started as well as what they scored.

          • -

        • flea_conn: Fleaflicker: returns who was started as well as what they scored.

          • -

        • mfl_conn: MFL: returns the player fantasy scores for each week (not the actual stats)

          • -

        • sleeper_conn: Sleeper: returns only "who" was started, without any scoring/stats data. Only returns season specified in initial connection object.

          • -
        - -

        Examples

        - 
        # \donttest{
-conn <- espn_connect(season = 2020, league_id = 1178049)
-ff_starters(conn, weeks = 1:3)
-
        #> # A tibble: 714 x 11
-#>     week franchise_id franchise_name    franchise_score lineup_slot player_score
-#>    <int>        <int> <chr>                       <dbl> <chr>              <dbl>
-#>  1     1            1 Rushin' Collusion             118 QB                  27.5
-#>  2     1            1 Rushin' Collusion             118 RB                   9.2
-#>  3     1            1 Rushin' Collusion             118 RB                   6.7
-#>  4     1            1 Rushin' Collusion             118 WR                  13.1
-#>  5     1            1 Rushin' Collusion             118 WR                   8.6
-#>  6     1            1 Rushin' Collusion             118 WR                  12.6
-#>  7     1            1 Rushin' Collusion             118 TE                  16.6
-#>  8     1            1 Rushin' Collusion             118 DST                  0  
-#>  9     1            1 Rushin' Collusion             118 K                    9  
-#> 10     1            1 Rushin' Collusion             118 BE                   4.8
-#> # ... with 704 more rows, and 5 more variables: player_id <int>,
-#> #   player_name <chr>, pos <chr>, team <chr>, eligible_lineup_slots <list>
        # }
-
-# \donttest{
-conn <- fleaflicker_connect(season = 2020, league_id = 206154)
-ff_starters(conn)
-# }
-
-# \donttest{
-dlf_conn <- mfl_connect(2020, league_id = 37920)
-ff_starters(conn = dlf_conn)
-
        #> # A tibble: 6,371 x 11
-#>    franchise_id franchise_name          season  week starter_status should_start
-#>    <chr>        <chr>                    <dbl> <int> <chr>                 <dbl>
-#>  1 0013         Advance Reptilian Sola~   2020     1 starter                   1
-#>  2 0013         Advance Reptilian Sola~   2020     1 starter                   1
-#>  3 0013         Advance Reptilian Sola~   2020     1 starter                   1
-#>  4 0013         Advance Reptilian Sola~   2020     1 starter                   1
-#>  5 0013         Advance Reptilian Sola~   2020     1 starter                   1
-#>  6 0013         Advance Reptilian Sola~   2020     1 starter                   1
-#>  7 0013         Advance Reptilian Sola~   2020     1 starter                   1
-#>  8 0013         Advance Reptilian Sola~   2020     1 starter                   1
-#>  9 0013         Advance Reptilian Sola~   2020     1 starter                   1
-#> 10 0013         Advance Reptilian Sola~   2020     1 nonstarter                0
-#> # ... with 6,361 more rows, and 5 more variables: player_score <dbl>,
-#> #   player_id <chr>, player_name <chr>, pos <chr>, team <chr>
        # }
-
-# \donttest{
-jml_conn <- sleeper_connect(league_id = "522458773317046272", season = 2020)
-jml_starters <- ff_starters(jml_conn)
-# }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_transactions.html b/docs/dev/reference/ff_transactions.html deleted file mode 100644 index 71b4a176..00000000 --- a/docs/dev/reference/ff_transactions.html +++ /dev/null @@ -1,396 +0,0 @@ - - - - - - - - -Get League Transactions — ff_transactions • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
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        -

        Get League Transactions

        - Source: R/0_generics.R, R/espn_transactions.R, R/flea_transactions.R, and 2 more - -
        - -
        -

        This function returns a tidy dataframe of transactions - generally one row per player per transaction per team. -Each trade is represented twice, once per each team.

        -
        - - 
        ff_transactions(conn, ...)
-
-# S3 method for espn_conn
-ff_transactions(conn, limit = 1000, ...)
-
-# S3 method for flea_conn
-ff_transactions(conn, franchise_id = NULL, ...)
-
-# S3 method for mfl_conn
-ff_transactions(conn, custom_players = deprecated(), ...)
-
-# S3 method for sleeper_conn
-ff_transactions(conn, week = 1:17, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        ...

        additional args for other methods

        limit

        number of most recent transactions to return

        franchise_id

        fleaflicker returns transactions grouped by franchise id, pass a list here to filter

        custom_players

        [Deprecated] - now returns custom players by default

        week

        A week filter for transactions - 1 returns all offseason transactions. Default 1:17 returns all transactions.

        - -

        Value

        - -

        A tidy dataframe of transaction data

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: returns adds, drops, and trades. Requires private/auth-cookie.

          • -

        • flea_conn: Fleaflicker: returns all transactions, including free agents, waivers, and trades.

          • -

        • mfl_conn: MFL: returns all transactions, including auction, free agents, IR, TS, waivers, and trades.

          • -

        • sleeper_conn: Sleeper: returns all transactions, including free agents, waivers, and trades.

          • -
        - -

        Examples

        - 
        if (FALSE) {
-# Marked as don't run because this endpoint requires private authentication
-
-conn <- espn_connect(
-  season = 2020,
-  league_id = 1178049,
-  swid = Sys.getenv("TAN_SWID"),
-  espn_s2 = Sys.getenv("TAN_ESPN_S2")
-)
-ff_transactions(conn)
-}
-
-# \donttest{
-conn <- fleaflicker_connect(season = 2020, league_id = 312861)
-ff_transactions(conn)
-
        #> # A tibble: 283 x 12
-#>    timestamp           type     type_desc franchise_id franchise_name  player_id
-#>    <dttm>              <chr>    <chr>            <int> <chr>           <glue>   
-#>  1 2021-06-07 12:28:41 free_ag~ dropped        1581803 ZachFarni's Te~ 15662    
-#>  2 2021-06-07 11:55:56 free_ag~ dropped        1581719 Jmuthers's Team 11455    
-#>  3 2021-06-06 16:45:46 free_ag~ dropped        1581726 SCJaguars's Te~ 15814    
-#>  4 2021-06-04 13:00:05 free_ag~ dropped        1578553 Running Bear    15723    
-#>  5 2021-06-01 15:56:47 free_ag~ dropped        1581721 Mjenkyns2004's~ 11194    
-#>  6 2021-06-01 11:50:42 free_ag~ dropped        1581719 Jmuthers's Team 14774    
-#>  7 2021-06-01 11:50:33 free_ag~ dropped        1581719 Jmuthers's Team 14709    
-#>  8 2021-05-31 10:43:46 free_ag~ dropped        1578553 Running Bear    14714    
-#>  9 2021-05-31 10:43:30 free_ag~ dropped        1578553 Running Bear    11188    
-#> 10 2021-05-31 10:43:22 free_ag~ dropped        1578553 Running Bear    14749    
-#> # ... with 273 more rows, and 6 more variables: player_name <glue>, pos <chr>,
-#> #   team <chr>, trade_partner_id <int>, trade_partner_name <chr>,
-#> #   trade_id <int>
        # }
-
-# \donttest{
-dlf_conn <- mfl_connect(2019, league_id = 37920)
-ff_transactions(dlf_conn)
-
        #> # A tibble: 1,146 x 12
-#>    timestamp           type   type_desc franchise_id franchise_name    player_id
-#>    <dttm>              <chr>  <chr>     <chr>        <chr>             <chr>    
-#>  1 2019-12-19 11:56:49 FREE_~ added     0003         Electric Spiders  13868    
-#>  2 2019-12-19 11:56:49 FREE_~ dropped   0003         Electric Spiders  13387    
-#>  3 2019-12-19 03:03:13 FREE_~ added     0019         Advance Reptilia~ 12857    
-#>  4 2019-12-19 03:03:13 FREE_~ dropped   0019         Advance Reptilia~ 11186    
-#>  5 2019-12-19 03:02:26 FREE_~ added     0019         Advance Reptilia~ 13868    
-#>  6 2019-12-19 03:02:26 FREE_~ dropped   0019         Advance Reptilia~ 14305    
-#>  7 2019-12-15 17:28:15 FREE_~ added     0003         Electric Spiders  12197    
-#>  8 2019-12-15 17:27:28 FREE_~ dropped   0003         Electric Spiders  12623    
-#>  9 2019-12-15 17:27:00 FREE_~ added     0003         Electric Spiders  13387    
-#> 10 2019-12-15 17:26:27 IR     deactiva~ 0003         Electric Spiders  14138    
-#> # ... with 1,136 more rows, and 6 more variables: player_name <chr>, pos <chr>,
-#> #   team <chr>, bbid_spent <dbl>, trade_partner <chr>, comments <chr>
        # }
-# \donttest{
-jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
-x <- ff_transactions(jml_conn, week = 1:17)
-# }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ff_userleagues.html b/docs/dev/reference/ff_userleagues.html deleted file mode 100644 index 33029136..00000000 --- a/docs/dev/reference/ff_userleagues.html +++ /dev/null @@ -1,337 +0,0 @@ - - - - - - - - -Get User Leagues — ff_userleagues • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get User Leagues

        - Source: R/0_generics.R, R/espn_userleagues.R, R/flea_userleagues.R, and 2 more - -
        - -
        -

        This function returns a tidy dataframe with one row for every league a user is in. This requries authentication cookies for MFL usage.

        -
        - - 
        ff_userleagues(conn, ...)
-
-# S3 method for espn_conn
-ff_userleagues(conn = NULL, ...)
-
-# S3 method for flea_conn
-ff_userleagues(conn = NULL, user_email = NULL, season = NULL, ...)
-
-# S3 method for mfl_conn
-ff_userleagues(conn, season = NULL, ...)
-
-# S3 method for sleeper_conn
-ff_userleagues(conn = NULL, user_name = NULL, season = NULL, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - -
        conn

        a connection object created by ff_connect()

        ...

        arguments that may be passed to other methods (for method consistency)

        user_email

        the username to look up - defaults to user created in conn if available

        season

        the season to look up leagues for

        user_name

        the username to look up - defaults to user created in conn if available

        - -

        Value

        - -

        A tidy dataframe with one row for every league a user is in

        -

        Methods (by class)

        - - -
          -

        • espn_conn: ESPN: does not support a lookup of user leagues by email or user ID at this time.

          • -

        • flea_conn: flea: returns a listing of leagues for a given user_email

          • -

        • mfl_conn: MFL: With username/password, it will return a list of user leagues.

          • -

        • sleeper_conn: Sleeper: returns a listing of leagues for a given user_id or user_name

          • -
        -

        See also

        - -

        fleaflicker_userleagues() to call this function for flea leagues without first creating a connection object.

        -

        sleeper_userleagues() to call this function for Sleeper leagues without first creating a connection object.

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/ffscrapr-package.html b/docs/dev/reference/ffscrapr-package.html deleted file mode 100644 index 03ba706f..00000000 --- a/docs/dev/reference/ffscrapr-package.html +++ /dev/null @@ -1,313 +0,0 @@ - - - - - - - - -ffscrapr: API Client for Fantasy Football League Platforms — ffscrapr-package • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        ffscrapr: API Client for Fantasy Football League Platforms

        - Source: R/ffscrapr-package.R - -
        - -
        -

        Helps access various Fantasy Football APIs by handling - authentication and rate-limiting, forming appropriate calls, and - returning tidy dataframes which can be easily connected to other data - sources.

        -
        - - - -

        See also

        - -

        Useful links:

        - -
        -

        Author

        - -

        Maintainer: Tan Ho tan@tanho.ca

        -

        Other contributors:

        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
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a/docs/dev/reference/fleaflicker_connect.html b/docs/dev/reference/fleaflicker_connect.html deleted file mode 100644 index fcbe54c6..00000000 --- a/docs/dev/reference/fleaflicker_connect.html +++ /dev/null @@ -1,333 +0,0 @@ - - - - - - - - -Connect to Fleaflicker League — fleaflicker_connect • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/docs/dev/reference/fleaflicker_getendpoint.html b/docs/dev/reference/fleaflicker_getendpoint.html deleted file mode 100644 index 05f6cf41..00000000 --- a/docs/dev/reference/fleaflicker_getendpoint.html +++ /dev/null @@ -1,307 +0,0 @@ - - - - - - - - -GET any Fleaflicker endpoint — fleaflicker_getendpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        GET any Fleaflicker endpoint

        - Source: R/flea_api.R - -
        - -
        -

        The endpoint names and HTTP parameters (i.e. argument names) are CASE SENSITIVE and should be passed in exactly as displayed on the Fleaflicker API reference page.

        -
        - - 
        fleaflicker_getendpoint(endpoint, ...)
        - -

        Arguments

        - - - - - - - - - - -
        endpoint

        a string defining which endpoint to return from the API

        ...

        Arguments which will be passed as "argumentname = argument" in an HTTP query parameter

        - -

        Value

        - -

        A list object containing the query, response, and parsed content.

        -

        Details

        - -

        Check out the vignette for more details and example usage.

        -

        See also

        - -

        https://www.fleaflicker.com/api-docs/index.html

        -

        vignette("fleaflicker_getendpoint")

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/fleaflicker_players.html b/docs/dev/reference/fleaflicker_players.html deleted file mode 100644 index 41ff44d5..00000000 --- a/docs/dev/reference/fleaflicker_players.html +++ /dev/null @@ -1,309 +0,0 @@ - - - - - - - - -Fleaflicker players library — fleaflicker_players • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Fleaflicker players library

        - Source: R/flea_players.R - -
        - -
        -

        A cached table of Fleaflicker NFL players. Will store in memory for each session! -(via memoise in zzz.R)

        -
        - - 
        fleaflicker_players(conn, page_limit = NULL)
        - -

        Arguments

        - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        page_limit

        A number limiting the number of players to return, or NULL (default) returns all

        - -

        Value

        - -

        a dataframe containing all ~7000+ players in the Fleaflicker database

        - -

        Examples

        - 
        # \donttest{
-conn <- fleaflicker_connect(2020, 312861)
-player_list <- fleaflicker_players(conn, page_limit = 2)
-# }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/fleaflicker_userleagues.html b/docs/dev/reference/fleaflicker_userleagues.html deleted file mode 100644 index 55a6bdb1..00000000 --- a/docs/dev/reference/fleaflicker_userleagues.html +++ /dev/null @@ -1,305 +0,0 @@ - - - - - - - - -Fleaflicker - Get User Leagues — fleaflicker_userleagues • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Fleaflicker - Get User Leagues

        - Source: R/flea_userleagues.R - -
        - -
        -

        This function returns the leagues that a specific user is in. -This variant can be used without first creating a connection object.

        -
        - - 
        fleaflicker_userleagues(user_email, season = NULL)
        - -

        Arguments

        - - - - - - - - - - -
        user_email

        the username to look up

        season

        the season to return leagues from - defaults to current year based on heuristics

        - -

        Value

        - -

        a dataframe of leagues for the specified user

        -

        See also

        - -

        ff_userleagues()

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/forget.html b/docs/dev/reference/forget.html deleted file mode 100644 index 5e209ae6..00000000 --- a/docs/dev/reference/forget.html +++ /dev/null @@ -1,181 +0,0 @@ - - - - - - - - -Clear memoised cache — forget • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Clear memoised cache

        - Source: R/utils.R - -
        - -
        -

        See memoise::forget for details.

        -
        - - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/dev/reference/index.html b/docs/dev/reference/index.html deleted file mode 100644 index 9be74095..00000000 --- a/docs/dev/reference/index.html +++ /dev/null @@ -1,629 +0,0 @@ - - - - - - - - -Function reference • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Reference

        -
        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -

        Main

        -

        These are the primary functions of ffscrapr and are designed to work for all platforms.

        -
        -

        ff_connect()

        -

        Connect to a League

        -

        ff_draft()

        -

        Get Draft Results

        -

        ff_draftpicks()

        -

        Get Draft Picks

        -

        ff_franchises()

        -

        Get League Franchises

        -

        ff_league()

        -

        Get League Summary

        -

        ff_playerscores()

        -

        Get Player Scoring History

        -

        ff_rosters()

        -

        Get League Rosters

        -

        ff_schedule()

        -

        Get Schedule

        -

        ff_scoring()

        -

        Get League Scoring Settings

        -

        ff_scoringhistory()

        -

        Get League-Specific Scoring History

        -

        ff_standings()

        -

        Get Standings

        -

        ff_starters()

        -

        Get Starting Lineups

        -

        ff_starter_positions()

        -

        Get Starting Lineup Settings

        -

        ff_transactions()

        -

        Get League Transactions

        -

        ff_userleagues()

        -

        Get User Leagues

        -

        MFL

        -

        Additional functions designed/optimized for the MFL platform.

        -
        -

        mfl_connect()

        -

        Connect to MFL League

        -

        mfl_getendpoint()

        -

        GET any MFL endpoint

        -

        mfl_players()

        -

        MFL players library

        -

        Sleeper

        -

        Additional functions designed/optimized for the Sleeper platform.

        -
        -

        sleeper_connect()

        -

        Connect to Sleeper League

        -

        sleeper_getendpoint()

        -

        GET any Sleeper endpoint

        -

        sleeper_players()

        -

        Sleeper players library

        -

        sleeper_userleagues()

        -

        Sleeper - Get User Leagues

        -

        Fleaflicker

        -

        Additional functions designed/optimized for the Fleaflicker platform.

        -
        -

        fleaflicker_connect()

        -

        Connect to Fleaflicker League

        -

        fleaflicker_getendpoint()

        -

        GET any Fleaflicker endpoint

        -

        fleaflicker_players()

        -

        Fleaflicker players library

        -

        fleaflicker_userleagues()

        -

        Fleaflicker - Get User Leagues

        -

        ESPN

        -

        Additional functions designed/optimized for the ESPN platform

        -
        -

        espn_connect()

        -

        Connect to ESPN League

        -

        espn_getendpoint()

        -

        GET ESPN fantasy league endpoint

        -

        espn_getendpoint_raw()

        -

        GET ESPN endpoint (raw)

        -

        espn_players()

        -

        ESPN players library

        -

        espn_potentialpoints()

        -

        ESPN Potential Points

        -

        DynastyProcess

        -

        Functions to interface with DynastyProcess data

        -
        -

        dp_cleannames()

        -

        Clean Names

        -

        dp_name_mapping

        -

        Alternate name mappings

        -

        dp_playerids()

        -

        Import latest DynastyProcess player IDs

        -

        dp_values()

        -

        Import latest DynastyProcess values

        -

        nflfastR

        -

        Functions to interface with nflfastR data

        -
        -

        nflfastr_rosters()

        -

        Import nflfastr roster data

        -

        nflfastr_stat_mapping

        -

        Mappings for nflfastr to fantasy platform scoring

        -

        nflfastr_weekly()

        -

        Import latest nflfastr weekly stats

        -

        Miscellaneous

        -

        Additional helper functions

        -
        -

        .ff_clear_cache()

        -

        Empty Function Cache

        -

        %>%

        -

        Pipe operator

        -
        - - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/mfl_allrules.html b/docs/dev/reference/mfl_allrules.html deleted file mode 100644 index 07c6f635..00000000 --- a/docs/dev/reference/mfl_allrules.html +++ /dev/null @@ -1,285 +0,0 @@ - - - - - - - - -MFL rules library - memoised via zzz.R — mfl_allrules • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        MFL rules library - memoised via zzz.R

        - Source: R/mfl_scoring.R - -
        - -
        -

        MFL rules library - memoised via zzz.R

        -
        - - 
        mfl_allrules(conn)
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/mfl_connect.html b/docs/dev/reference/mfl_connect.html deleted file mode 100644 index ad2cb2e2..00000000 --- a/docs/dev/reference/mfl_connect.html +++ /dev/null @@ -1,363 +0,0 @@ - - - - - - - - -Connect to MFL League — mfl_connect • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Connect to MFL League

        - Source: R/mfl_connect.R - -
        - -
        -

        This function creates a connection object which stores parameters and gets a login-cookie if available

        -
        - - 
        mfl_connect(
-  season = NULL,
-  league_id = NULL,
-  APIKEY = NULL,
-  user_name = NULL,
-  password = NULL,
-  user_agent = NULL,
-  rate_limit = TRUE,
-  rate_limit_number = NULL,
-  rate_limit_seconds = NULL,
-  ...
-)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        season

        Season to access on MFL - if missing, will guess based on system date (current year if March or later, otherwise previous year)

        league_id

        league_id Numeric ID parameter for each league, typically found in the URL

        APIKEY

        APIKEY - optional - allows access to private leagues. Key is unique for each league and accessible from Developer's API page (currently assuming one league at a time)

        user_name

        MFL user_name - optional - when supplied in conjunction with a password, will attempt to retrieve authentication token

        password

        MFL password - optional - when supplied in conjunction with user_name, will attempt to retrieve authentication token

        user_agent

        A string representing the user agent to be used to identify calls - may find improved rate_limits if verified token

        rate_limit

        TRUE by default, pass FALSE to turn off rate limiting

        rate_limit_number

        number of calls per rate_limit_seconds, suggested is 60 calls per 60 seconds

        rate_limit_seconds

        number of seconds as denominator for rate_limit

        ...

        silently swallows up unused arguments

        - -

        Value

        - -

        a connection object to be used with ff_* functions

        - -

        Examples

        - 
        # \donttest{
-mfl_connect(season = 2020, league_id = 54040)
-
        #> <MFL connection 2020_54040>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2020
-#>  $ league_id  : chr "54040"
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
        mfl_connect(season = 2019, league_id = 54040, rate_limit = FALSE)
-
        #> <MFL connection 2019_54040>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2019
-#>  $ league_id  : chr "54040"
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
        # }
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/mfl_getendpoint.html b/docs/dev/reference/mfl_getendpoint.html deleted file mode 100644 index f81e0d5e..00000000 --- a/docs/dev/reference/mfl_getendpoint.html +++ /dev/null @@ -1,313 +0,0 @@ - - - - - - - - -GET any MFL endpoint — mfl_getendpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        GET any MFL endpoint

        - Source: R/mfl_api.R - -
        - -
        -

        Create a GET request to any MFL export endpoint.

        -
        - - 
        mfl_getendpoint(conn, endpoint, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        the list object created by mfl_connect()

        endpoint

        a string defining which endpoint to return from the API

        ...

        Arguments which will be passed as "argumentname = argument" in an HTTP query parameter

        - -

        Value

        - -

        A list object containing the query, response, and parsed content.

        -

        Details

        - -

        This function will read the connection object and automatically pass in the rate-limiting, league ID (L), authentication cookie, and/or API key (APIKEY) if configured in the connection object.

        -

        The endpoint names and HTTP parameters (i.e. argument names) are CASE SENSITIVE and should be passed in exactly as displayed on the MFL API reference page.

        -

        Check out the vignette for more details and example usage.

        -

        See also

        - -

        https://api.myfantasyleague.com/2020/api_info?STATE=details

        -

        vignette("mfl_getendpoint")

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/mfl_players.html b/docs/dev/reference/mfl_players.html deleted file mode 100644 index b8bf6972..00000000 --- a/docs/dev/reference/mfl_players.html +++ /dev/null @@ -1,317 +0,0 @@ - - - - - - - - -MFL players library — mfl_players • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        MFL players library

        - Source: R/mfl_players.R - -
        - -
        -

        A cached table of MFL players. Will store in memory for each session! -(via memoise in zzz.R)

        -
        - - 
        mfl_players(conn = NULL)
        - -

        Arguments

        - - - - - - -
        conn

        optionally, pass in a conn object generated by ff_connect to receive league-specific custom players

        - -

        Value

        - -

        a dataframe containing all ~2000+ players in the MFL database

        - -

        Examples

        - 
        # \donttest{
-player_list <- mfl_players()
-dplyr::sample_n(player_list, 5)
-
        #> # A tibble: 5 x 25
-#>   player_id player_name        pos     age team  status draft_year draft_team
-#>   <chr>     <chr>              <chr> <dbl> <chr> <chr>  <chr>      <chr>     
-#> 1 13188     Howard, O.J.       TE     26.6 TBB   NA     2017       TBB       
-#> 2 13640     Callaway, Antonio  WR     24.4 KCC   NA     2018       CLE       
-#> 3 15392     St-Juste, Benjamin CB     23.8 WAS   R      2021       WAS       
-#> 4 14878     Gross-Matos, Yetur DE     23.3 CAR   NA     2020       CAR       
-#> 5 9940      Woods, Al          DT     34.2 SEA   NA     2010       NOS       
-#> # ... with 17 more variables: draft_round <chr>, draft_pick <chr>,
-#> #   stats_global_id <chr>, stats_id <chr>, cbs_id <chr>, fleaflicker_id <chr>,
-#> #   sportsdata_id <chr>, rotoworld_id <chr>, rotowire_id <chr>, nfl_id <chr>,
-#> #   espn_id <chr>, twitter_username <chr>, college <chr>, height <chr>,
-#> #   weight <chr>, birthdate <date>, jersey <chr>
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/nflfastr_rosters.html b/docs/dev/reference/nflfastr_rosters.html deleted file mode 100644 index 295675c8..00000000 --- a/docs/dev/reference/nflfastr_rosters.html +++ /dev/null @@ -1,329 +0,0 @@ - - - - - - - - -Import nflfastr roster data — nflfastr_rosters • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Import nflfastr roster data

        - Source: R/1_import_nflfastr.R - -
        - -
        -

        Fetches a copy of roster data from nflfastr's data repository. -The same input/output as nflfastr's fast_scraper_roster function.

        -
        - - 
        nflfastr_rosters(seasons)
        - -

        Arguments

        - - - - - - -
        seasons

        A numeric vector of seasons, earliest of which is 1999

        - -

        Value

        - -

        Data frame where each individual row represents a player in the roster of the given team and season

        -

        Details

        - -

        If you have any issues with the output of this data, please open an issue in -the nflfastr repository.

        -

        See also

        - -

        https://www.nflfastr.com/reference/fast_scraper_roster.html

        - -

        Examples

        - 
        # \donttest{
-nflfastr_rosters(seasons = 2019:2020)
-
        #> # A tibble: 7,735 x 24
-#>    season team  position depth_chart_positi~ jersey_number status full_name     
-#>     <dbl> <chr> <chr>    <chr>                       <int> <chr>  <chr>         
-#>  1   2019 ARI   C        NA                             60 CUT    Jacob Ohnesor~
-#>  2   2019 ARI   C        NA                             53 ACT    A.Q. Shipley  
-#>  3   2019 ARI   C        NA                             65 ACT    Lamont Gailla~
-#>  4   2019 ARI   CB       NA                             27 SUS    Josh Shaw     
-#>  5   2019 ARI   CB       NA                             30 ACT    Jalen Davis   
-#>  6   2019 ARI   CB       NA                             33 ACT    Byron Murphy  
-#>  7   2019 ARI   CB       NA                             22 CUT    Trevor Willia~
-#>  8   2019 ARI   CB       NA                             26 RES    Brandon Willi~
-#>  9   2019 ARI   CB       NA                             NA DEV    Sojourn Shelt~
-#> 10   2019 ARI   CB       NA                             28 CUT    Deatrick Nich~
-#> # ... with 7,725 more rows, and 17 more variables: first_name <chr>,
-#> #   last_name <chr>, birth_date <date>, height <chr>, weight <chr>,
-#> #   college <chr>, high_school <chr>, gsis_id <chr>, espn_id <int>,
-#> #   sportradar_id <chr>, yahoo_id <int>, rotowire_id <int>, pff_id <int>,
-#> #   headshot_url <glue>, fantasy_data_id <int>, sleeper_id <chr>,
-#> #   years_exp <int>
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/nflfastr_stat_mapping.html b/docs/dev/reference/nflfastr_stat_mapping.html deleted file mode 100644 index a3637a79..00000000 --- a/docs/dev/reference/nflfastr_stat_mapping.html +++ /dev/null @@ -1,294 +0,0 @@ - - - - - - - - -Mappings for nflfastr to fantasy platform scoring — nflfastr_stat_mapping • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Mappings for nflfastr to fantasy platform scoring

        - Source: R/0_helpers.R - -
        - -
        -

        A small helper dataframe for connecting nflfastr to specific fantasy platform rules.

        -
        - - 
        nflfastr_stat_mapping
        - - -

        Format

        - -

        A data frame with ~85 rows and 3 variables:

        -
        nflfastr_event

        the column name of the statistic in the nflfastr_weekly dataset

        -
        platform

        specific platform that this mapping applies to

        -
        ff_event

        name of the statistic for that platform

        - -
        - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/nflfastr_weekly.html b/docs/dev/reference/nflfastr_weekly.html deleted file mode 100644 index 0da536e0..00000000 --- a/docs/dev/reference/nflfastr_weekly.html +++ /dev/null @@ -1,339 +0,0 @@ - - - - - - - - -Import latest nflfastr weekly stats — nflfastr_weekly • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Import latest nflfastr weekly stats

        - Source: R/1_import_nflfastr.R - -
        - -
        -

        Fetches a copy of the latest week-level stats from nflfastr's data repository. -The same output as nflfastr's load_player_stats() function.

        -
        - - 
        nflfastr_weekly(type = c("offense", "defense", "all"))
        - -

        Arguments

        - - - - - - -
        type

        One of "offense", "defense", or "all" - currently, only "offense" is available.

        - -

        Value

        - -

        Weekly stats for all passers, rushers and receivers in the nflfastR play-by-play data from the 1999 season to the most recent season

        -

        Details

        - -

        The goal of this data is to replicate the NFL's official weekly stats, which -can diverge a bit from what fantasy data feeds display.

        -

        If you have any issues with the output of this data, please open an issue in -the nflfastr repository.

        -

        See also

        - -

        https://www.nflfastr.com/reference/load_player_stats.html

        - -

        Examples

        - 
        # \donttest{
-nflfastr_weekly()
-
        #> # A tibble: 112,757 x 42
-#>    player_id  player_name recent_team season  week completions attempts
-#>    <chr>      <chr>       <chr>        <int> <int>       <int>    <int>
-#>  1 00-0000003 A.al-Jabbar MIA           1999     1           0        0
-#>  2 00-0000003 A.al-Jabbar MIA           1999     2           0        0
-#>  3 00-0000003 A.al-Jabbar MIA           1999     4           0        0
-#>  4 00-0000003 A.al-Jabbar CLE           1999     7           0        0
-#>  5 00-0000003 A.al-Jabbar CLE           1999     8           0        0
-#>  6 00-0000003 A.al-Jabbar CLE           1999     9           0        0
-#>  7 00-0000003 A.al-Jabbar CLE           1999    10           0        0
-#>  8 00-0000003 A.al-Jabbar CLE           1999    11           0        0
-#>  9 00-0000003 A.al-Jabbar CLE           1999    12           0        0
-#> 10 00-0000003 A.al-Jabbar CLE           1999    13           0        0
-#> # ... with 112,747 more rows, and 35 more variables: passing_yards <dbl>,
-#> #   passing_tds <int>, interceptions <dbl>, sacks <dbl>, sack_yards <dbl>,
-#> #   sack_fumbles <int>, sack_fumbles_lost <int>, passing_air_yards <dbl>,
-#> #   passing_yards_after_catch <dbl>, passing_first_downs <dbl>,
-#> #   passing_epa <dbl>, passing_2pt_conversions <int>, dakota <dbl>,
-#> #   carries <int>, rushing_yards <dbl>, rushing_tds <int>,
-#> #   rushing_fumbles <dbl>, rushing_fumbles_lost <dbl>,
-#> #   rushing_first_downs <dbl>, rushing_epa <dbl>,
-#> #   rushing_2pt_conversions <int>, receptions <int>, targets <int>,
-#> #   receiving_yards <dbl>, receiving_tds <int>, receiving_fumbles <dbl>,
-#> #   receiving_fumbles_lost <dbl>, receiving_air_yards <dbl>,
-#> #   receiving_yards_after_catch <dbl>, receiving_first_downs <dbl>,
-#> #   receiving_epa <dbl>, receiving_2pt_conversions <int>,
-#> #   special_teams_tds <dbl>, fantasy_points <dbl>, fantasy_points_ppr <dbl>
        # }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/parse_raw_rds.html b/docs/dev/reference/parse_raw_rds.html deleted file mode 100644 index cf4ab7dd..00000000 --- a/docs/dev/reference/parse_raw_rds.html +++ /dev/null @@ -1,296 +0,0 @@ - - - - - - - - -Parse Raw RDS — parse_raw_rds • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Parse Raw RDS

        - Source: R/1_import_nflfastr.R - -
        - -
        -

        Useful for parsing the raw-content of RDS files downloaded from nflfastr repo, c/o Seb.

        -
        - - 
        parse_raw_rds(raw)
        - -

        Arguments

        - - - - - - -
        raw

        raw-content that is known to be an RDS file

        - -

        See also

        - -

        httr::set_cookies

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/pipe.html b/docs/dev/reference/pipe.html deleted file mode 100644 index 11c8907e..00000000 --- a/docs/dev/reference/pipe.html +++ /dev/null @@ -1,284 +0,0 @@ - - - - - - - - -Pipe operator — %>% • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Pipe operator

        - Source: R/0_utils.R - -
        - -
        -

        See magrittr::%>% for details.

        -
        - - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
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        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/release_bullets.html b/docs/dev/reference/release_bullets.html deleted file mode 100644 index 1b714fcd..00000000 --- a/docs/dev/reference/release_bullets.html +++ /dev/null @@ -1,285 +0,0 @@ - - - - - - - - -Release questions — release_bullets • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Release questions

        - Source: R/0_helpers.R - -
        - -
        -

        Release questions

        -
        - - 
        release_bullets()
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/set_unescaped_cookies.html b/docs/dev/reference/set_unescaped_cookies.html deleted file mode 100644 index 980da570..00000000 --- a/docs/dev/reference/set_unescaped_cookies.html +++ /dev/null @@ -1,296 +0,0 @@ - - - - - - - - -Add unescaped cookies — set_unescaped_cookies • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Add unescaped cookies

        - Source: R/0_helpers.R - -
        - -
        -

        Useful for ESPN which is already URL escaped

        -
        - - 
        set_unescaped_cookies(...)
        - -

        Arguments

        - - - - - - -
        ...

        a named cookie values

        - -

        See also

        - -

        httr::set_cookies

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/sleeper_connect.html b/docs/dev/reference/sleeper_connect.html deleted file mode 100644 index 120cda1b..00000000 --- a/docs/dev/reference/sleeper_connect.html +++ /dev/null @@ -1,333 +0,0 @@ - - - - - - - - -Connect to Sleeper League — sleeper_connect • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Connect to Sleeper League

        - Source: R/sleeper_connect.R - -
        - -
        -

        This function creates a connection object which stores parameters and a user ID if available.

        -
        - - 
        sleeper_connect(
-  season = NULL,
-  league_id = NULL,
-  user_name = NULL,
-  user_agent = NULL,
-  rate_limit = TRUE,
-  rate_limit_number = NULL,
-  rate_limit_seconds = NULL,
-  ...
-)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        season

        Season to access on Sleeper - if missing, will guess based on system date (current year if March or later, otherwise previous year)

        league_id

        League ID (currently assuming one league at a time)

        user_name

        Sleeper user_name - optional - attempts to get user's user ID

        user_agent

        User agent to self-identify (optional)

        rate_limit

        TRUE by default - turn off rate limiting with FALSE

        rate_limit_number

        number of calls per rate_limit_seconds, suggested is under 1000 calls per 60 seconds

        rate_limit_seconds

        number of seconds as denominator for rate_limit

        ...

        other arguments (for other methods)

        - -

        Value

        - -

        a list that stores Sleeper connection objects

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/sleeper_getendpoint.html b/docs/dev/reference/sleeper_getendpoint.html deleted file mode 100644 index e5ca10f7..00000000 --- a/docs/dev/reference/sleeper_getendpoint.html +++ /dev/null @@ -1,307 +0,0 @@ - - - - - - - - -GET any Sleeper endpoint — sleeper_getendpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        GET any Sleeper endpoint

        - Source: R/sleeper_api.R - -
        - -
        -

        The endpoint names and HTTP parameters (i.e. argument names) are CASE SENSITIVE and should be passed in exactly as displayed on the Sleeper API reference page.

        -
        - - 
        sleeper_getendpoint(endpoint, ...)
        - -

        Arguments

        - - - - - - - - - - -
        endpoint

        a string defining which endpoint to return from the API

        ...

        Arguments which will be passed as "argumentname = argument" in an HTTP query parameter

        - -

        Value

        - -

        A list object containing the query, response, and parsed content.

        -

        Details

        - -

        Check out the vignette for more details and example usage.

        -

        See also

        - -

        https://docs.sleeper.app

        -

        vignette("sleeper_getendpoint")

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/sleeper_players.html b/docs/dev/reference/sleeper_players.html deleted file mode 100644 index fde93a67..00000000 --- a/docs/dev/reference/sleeper_players.html +++ /dev/null @@ -1,296 +0,0 @@ - - - - - - - - -Sleeper players library — sleeper_players • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Sleeper players library

        - Source: R/sleeper_players.R - -
        - -
        -

        A cached table of Sleeper NFL players. Will store in memory for each session! -(via memoise in zzz.R)

        -
        - - 
        sleeper_players()
        - - -

        Value

        - -

        a dataframe containing all ~7000+ players in the Sleeper database

        - -

        Examples

        - 
        # \donttest{
-player_list <- sleeper_players()
-# }
-
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/reference/sleeper_userleagues.html b/docs/dev/reference/sleeper_userleagues.html deleted file mode 100644 index b733b958..00000000 --- a/docs/dev/reference/sleeper_userleagues.html +++ /dev/null @@ -1,305 +0,0 @@ - - - - - - - - -Sleeper - Get User Leagues — sleeper_userleagues • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Sleeper - Get User Leagues

        - Source: R/sleeper_userleagues.R - -
        - -
        -

        This function returns the leagues that a specific user is in. -This variant can be used without first creating a connection object.

        -
        - - 
        sleeper_userleagues(user_name, season = NULL)
        - -

        Arguments

        - - - - - - - - - - -
        user_name

        the username to look up

        season

        the season to return leagues from - defaults to current year based on heuristics

        - -

        Value

        - -

        a dataframe of leagues for the specified user

        -

        See also

        - -

        ff_userleagues()

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.6.1.

        -
        - -
        -
        - - - - - - - - - - - diff --git a/docs/dev/sitemap.xml b/docs/dev/sitemap.xml deleted file mode 100644 index 1cc2818f..00000000 --- a/docs/dev/sitemap.xml +++ /dev/null @@ -1,219 +0,0 @@ - - - - ffscrapr.dynastyprocess.com/index.html - - - ffscrapr.dynastyprocess.com/reference/dot-add_allplay.html - - - ffscrapr.dynastyprocess.com/reference/dot-espn_activity_map.html - - - ffscrapr.dynastyprocess.com/reference/dot-espn_lineupslot_map.html - - - ffscrapr.dynastyprocess.com/reference/dot-espn_pos_map.html - - - ffscrapr.dynastyprocess.com/reference/dot-espn_stat_map.html - - - ffscrapr.dynastyprocess.com/reference/dot-espn_team_map.html - - - ffscrapr.dynastyprocess.com/reference/dot-ff_clear_cache.html - - - ffscrapr.dynastyprocess.com/reference/dot-fn_choose_season.html - - - ffscrapr.dynastyprocess.com/reference/dot-fn_drop_nulls.html - - - ffscrapr.dynastyprocess.com/reference/dot-fn_set_ratelimit.html - - - ffscrapr.dynastyprocess.com/reference/dot-fn_set_useragent.html - - - ffscrapr.dynastyprocess.com/reference/dot-mfl_logincookie.html - - - ffscrapr.dynastyprocess.com/reference/dot-retry_get.html - - - ffscrapr.dynastyprocess.com/reference/dot-retry_post.html - - - ffscrapr.dynastyprocess.com/reference/dot-sleeper_matchup.html - - - ffscrapr.dynastyprocess.com/reference/dot-sleeper_userid.html - - - ffscrapr.dynastyprocess.com/reference/dp_cleannames.html - - - ffscrapr.dynastyprocess.com/reference/dp_name_mapping.html - - - ffscrapr.dynastyprocess.com/reference/dp_playerids.html - - - ffscrapr.dynastyprocess.com/reference/dp_values.html - - - ffscrapr.dynastyprocess.com/reference/espn_connect.html - - - ffscrapr.dynastyprocess.com/reference/espn_getendpoint.html - - - ffscrapr.dynastyprocess.com/reference/espn_getendpoint_raw.html - - - ffscrapr.dynastyprocess.com/reference/espn_players.html - - - ffscrapr.dynastyprocess.com/reference/espn_potentialpoints.html - - - ffscrapr.dynastyprocess.com/reference/ffscrapr-package.html - - - ffscrapr.dynastyprocess.com/reference/ff_connect.html - - - ffscrapr.dynastyprocess.com/reference/ff_draft.html - - - ffscrapr.dynastyprocess.com/reference/ff_draftpicks.html - - - ffscrapr.dynastyprocess.com/reference/ff_franchises.html - - - ffscrapr.dynastyprocess.com/reference/ff_league.html - - - ffscrapr.dynastyprocess.com/reference/ff_playerscores.html - - - ffscrapr.dynastyprocess.com/reference/ff_rosters.html - - - ffscrapr.dynastyprocess.com/reference/ff_schedule.html - - - ffscrapr.dynastyprocess.com/reference/ff_scoring.html - - - ffscrapr.dynastyprocess.com/reference/ff_scoringhistory.html - - - ffscrapr.dynastyprocess.com/reference/ff_standings.html - - - ffscrapr.dynastyprocess.com/reference/ff_starters.html - - - ffscrapr.dynastyprocess.com/reference/ff_starter_positions.html - - - ffscrapr.dynastyprocess.com/reference/ff_transactions.html - - - ffscrapr.dynastyprocess.com/reference/ff_userleagues.html - - - ffscrapr.dynastyprocess.com/reference/fleaflicker_connect.html - - - ffscrapr.dynastyprocess.com/reference/fleaflicker_getendpoint.html - - - ffscrapr.dynastyprocess.com/reference/fleaflicker_players.html - - - ffscrapr.dynastyprocess.com/reference/fleaflicker_userleagues.html - - - ffscrapr.dynastyprocess.com/reference/mfl_allrules.html - - - ffscrapr.dynastyprocess.com/reference/mfl_connect.html - - - ffscrapr.dynastyprocess.com/reference/mfl_getendpoint.html - - - ffscrapr.dynastyprocess.com/reference/mfl_players.html - - - ffscrapr.dynastyprocess.com/reference/nflfastr_rosters.html - - - ffscrapr.dynastyprocess.com/reference/nflfastr_stat_mapping.html - - - ffscrapr.dynastyprocess.com/reference/nflfastr_weekly.html - - - ffscrapr.dynastyprocess.com/reference/parse_raw_rds.html - - - ffscrapr.dynastyprocess.com/reference/pipe.html - - - ffscrapr.dynastyprocess.com/reference/release_bullets.html - - - ffscrapr.dynastyprocess.com/reference/set_unescaped_cookies.html - - - ffscrapr.dynastyprocess.com/reference/sleeper_connect.html - - - ffscrapr.dynastyprocess.com/reference/sleeper_getendpoint.html - - - ffscrapr.dynastyprocess.com/reference/sleeper_players.html - - - ffscrapr.dynastyprocess.com/reference/sleeper_userleagues.html - - - ffscrapr.dynastyprocess.com/articles/espn_authentication.html - - - ffscrapr.dynastyprocess.com/articles/espn_basics.html - - - ffscrapr.dynastyprocess.com/articles/espn_getendpoint.html - - - ffscrapr.dynastyprocess.com/articles/ffscrapr_caching.html - - - ffscrapr.dynastyprocess.com/articles/ffscrapr_scoringhistory.html - - - ffscrapr.dynastyprocess.com/articles/fleaflicker_basics.html - - - ffscrapr.dynastyprocess.com/articles/fleaflicker_getendpoint.html - - - ffscrapr.dynastyprocess.com/articles/mfl_basics.html - - - ffscrapr.dynastyprocess.com/articles/mfl_getendpoint.html - - - ffscrapr.dynastyprocess.com/articles/sleeper_basics.html - - - ffscrapr.dynastyprocess.com/articles/sleeper_getendpoint.html - - diff --git a/docs/docsearch.css b/docs/docsearch.css deleted file mode 100644 index e5f1fe1d..00000000 --- a/docs/docsearch.css +++ /dev/null @@ -1,148 +0,0 @@ -/* Docsearch -------------------------------------------------------------- */ -/* - Source: https://github.com/algolia/docsearch/ - License: MIT -*/ - -.algolia-autocomplete { - display: block; - -webkit-box-flex: 1; - -ms-flex: 1; - flex: 1 -} - -.algolia-autocomplete .ds-dropdown-menu { - width: 100%; - min-width: none; - max-width: none; - padding: .75rem 0; - background-color: #fff; - background-clip: padding-box; - border: 1px solid rgba(0, 0, 0, .1); - box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175); -} - -@media (min-width:768px) { - .algolia-autocomplete .ds-dropdown-menu { - width: 175% - } -} - -.algolia-autocomplete .ds-dropdown-menu::before { - display: none -} - -.algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] { - padding: 0; - background-color: rgb(255,255,255); - border: 0; - max-height: 80vh; -} - -.algolia-autocomplete .ds-dropdown-menu .ds-suggestions { - margin-top: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion { - padding: 0; - overflow: visible -} - -.algolia-autocomplete .algolia-docsearch-suggestion--category-header { - padding: .125rem 1rem; - margin-top: 0; - font-size: 1.3em; - font-weight: 500; - color: #00008B; - border-bottom: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--wrapper { - float: none; - padding-top: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column { - float: none; - width: auto; - padding: 0; - text-align: left -} - -.algolia-autocomplete .algolia-docsearch-suggestion--content { - float: none; - width: auto; - padding: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--content::before { - display: none -} - -.algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header { - padding-top: .75rem; - margin-top: .75rem; - border-top: 1px solid rgba(0, 0, 0, .1) -} - -.algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column { - display: block; - padding: .1rem 1rem; - margin-bottom: 0.1; - font-size: 1.0em; - font-weight: 400 - /* display: none */ -} - -.algolia-autocomplete .algolia-docsearch-suggestion--title { - display: block; - padding: .25rem 1rem; - margin-bottom: 0; - font-size: 0.9em; - font-weight: 400 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--text { - padding: 0 1rem .5rem; - margin-top: -.25rem; - font-size: 0.8em; - font-weight: 400; - line-height: 1.25 -} - -.algolia-autocomplete .algolia-docsearch-footer { - width: 110px; - height: 20px; - z-index: 3; - margin-top: 10.66667px; - float: right; - font-size: 0; - line-height: 0; -} - -.algolia-autocomplete .algolia-docsearch-footer--logo { - background-image: url("data:image/svg+xml;utf8,"); - background-repeat: no-repeat; - background-position: 50%; - background-size: 100%; - overflow: hidden; - text-indent: -9000px; - width: 100%; - height: 100%; - display: block; - transform: translate(-8px); -} - -.algolia-autocomplete .algolia-docsearch-suggestion--highlight { - color: #FF8C00; - background: rgba(232, 189, 54, 0.1) -} - - -.algolia-autocomplete .algolia-docsearch-suggestion--text .algolia-docsearch-suggestion--highlight { - box-shadow: inset 0 -2px 0 0 rgba(105, 105, 105, .5) -} - -.algolia-autocomplete .ds-suggestion.ds-cursor .algolia-docsearch-suggestion--content { - background-color: rgba(192, 192, 192, .15) -} diff --git a/docs/docsearch.js b/docs/docsearch.js deleted file mode 100644 index b35504cd..00000000 --- a/docs/docsearch.js +++ /dev/null @@ -1,85 +0,0 @@ -$(function() { - - // register a handler to move the focus to the search bar - // upon pressing shift + "/" (i.e. "?") - $(document).on('keydown', function(e) { - if (e.shiftKey && e.keyCode == 191) { - e.preventDefault(); - $("#search-input").focus(); - } - }); - - $(document).ready(function() { - // do keyword highlighting - /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */ - var mark = function() { - - var referrer = document.URL ; - var paramKey = "q" ; - - if (referrer.indexOf("?") !== -1) { - var qs = referrer.substr(referrer.indexOf('?') + 1); - var qs_noanchor = qs.split('#')[0]; - var qsa = qs_noanchor.split('&'); - var keyword = ""; - - for (var i = 0; i < qsa.length; i++) { - var currentParam = qsa[i].split('='); - - if (currentParam.length !== 2) { - continue; - } - - if (currentParam[0] == paramKey) { - keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20")); - } - } - - if (keyword !== "") { - $(".contents").unmark({ - done: function() { - $(".contents").mark(keyword); - } - }); - } - } - }; - - mark(); - }); -}); - -/* Search term highlighting ------------------------------*/ - -function matchedWords(hit) { - var words = []; - - var hierarchy = hit._highlightResult.hierarchy; - // loop to fetch from lvl0, lvl1, etc. - for (var idx in hierarchy) { - words = words.concat(hierarchy[idx].matchedWords); - } - - var content = hit._highlightResult.content; - if (content) { - words = words.concat(content.matchedWords); - } - - // return unique words - var words_uniq = [...new Set(words)]; - return words_uniq; -} - -function updateHitURL(hit) { - - var words = matchedWords(hit); - var url = ""; - - if (hit.anchor) { - url = hit.url_without_anchor + '?q=' + escape(words.join(" ")) + '#' + hit.anchor; - } else { - url = hit.url + '?q=' + escape(words.join(" ")); - } - - return url; -} diff --git a/docs/extra.css b/docs/extra.css deleted file mode 100644 index bc219da0..00000000 --- a/docs/extra.css +++ /dev/null @@ -1,17 +0,0 @@ -@import 'https://fonts.googleapis.com/css?family=PT+Sans:400,700|PT+Mono:400,700'; - -body{ - font-family: 'PT Sans', sans-serif; -} - -h1,h2, h3, h4, h5, h6 { - font-family: 'PT Mono', sans-serif; -} - -pre, code { - font-family: 'PT Mono'; -} - -.navbar { - font-family: 'PT Mono'; -} diff --git a/docs/favicon-16x16.png 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        -
        - - - - -
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        -

        -ffscrapr -

        -

        An R Client for Fantasy Football League APIs

        - - - -

        Helps access various Fantasy Football APIs (i.e. MFL, Sleeper, Fleaflicker, ESPN, Yahoo, potentially other platforms) by handling authentication and rate-limiting, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.

        -
        -

        -Installation

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        Install from GitHub with:

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        # install.packages("devtools") OR install.packages("remotes")
-## remotes is a subpackage of devtools
-remotes::install_github("dynastyprocess/ffscrapr")
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        -
        -

        -Usage

        -

        All ffscrapr functions start with a connection object created by ff_connect, which stores connection, authentication, and other user-defined parameters. This object is used by all other functions to help return the correct data.

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        library(ffscrapr)
-ssb <- ff_connect(platform = "mfl", league_id = "54040", season = 2020)
-
-# Get a summary of league settings
-ff_league(ssb) %>% str()
-#> tibble [1 x 13] (S3: tbl_df/tbl/data.frame)
-#>  $ league_id      : chr "54040"
-#>  $ league_name    : chr "The Super Smash Bros Dynasty League"
-#>  $ franchise_count: num 14
-#>  $ qb_type        : chr "1QB"
-#>  $ idp            : logi FALSE
-#>  $ scoring_flags  : chr "0.5_ppr, TEPrem, PP1D"
-#>  $ best_ball      : logi TRUE
-#>  $ salary_cap     : logi FALSE
-#>  $ player_copies  : num 1
-#>  $ years_active   : chr "2018-2020"
-#>  $ qb_count       : chr "1"
-#>  $ roster_size    : num 35
-#>  $ league_depth   : num 490
-
-# Get rosters
-ff_rosters(ssb)
-#> # A tibble: 432 x 11
-#>    franchise_id franchise_name player_id player_name pos   team    age
-#>    <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#>  1 0001         Team Pikachu   13129     Fournette,~ RB    JAC    25.5
-#>  2 0001         Team Pikachu   13189     Engram, Ev~ TE    NYG    25.9
-#>  3 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    27.7
-#>  4 0001         Team Pikachu   13290     Cohen, Tar~ RB    CHI    25  
-#>  5 0001         Team Pikachu   13155     Ross, John  WR    CIN    24.7
-#>  6 0001         Team Pikachu   13158     Westbrook,~ WR    JAC    26.7
-#>  7 0001         Team Pikachu   10273     Newton, Cam QB    NEP    31.2
-#>  8 0001         Team Pikachu   14085     Pollard, T~ RB    DAL    23.3
-#>  9 0001         Team Pikachu   13139     Williams, ~ RB    GBP    25.3
-#> 10 0001         Team Pikachu   13649     Hamilton, ~ WR    DEN    25.4
-#> # ... with 422 more rows, and 4 more variables: roster_status <chr>,
-#> #   drafted <chr>, draft_year <chr>, draft_round <chr>
-
-# Get transactions
-ff_transactions(ssb)
-#> # A tibble: 172 x 12
-#>    timestamp           type  type_desc franchise_id franchise_name player_id
-#>    <dttm>              <chr> <chr>     <chr>        <chr>          <chr>    
-#>  1 2020-07-31 16:19:51 IR    deactiva~ 0004         Team Ice Clim~ 11688    
-#>  2 2020-07-31 16:19:51 IR    deactiva~ 0004         Team Ice Clim~ 13277    
-#>  3 2020-07-31 16:19:51 IR    deactiva~ 0004         Team Ice Clim~ 12667    
-#>  4 2020-07-31 16:16:36 IR    deactiva~ 0013         Team Ness      14140    
-#>  5 2020-07-31 16:00:00 BBID~ dropped   0004         Team Ice Clim~ 13190    
-#>  6 2020-07-31 16:00:00 BBID~ added     0007         Team Kirby     14129    
-#>  7 2020-07-31 16:00:00 BBID~ added     0004         Team Ice Clim~ 14333    
-#>  8 2020-07-31 16:00:00 BBID~ added     0014         Team Luigi     12164    
-#>  9 2020-07-31 16:00:00 BBID~ added     0014         Team Luigi     10297    
-#> 10 2020-07-31 16:00:00 BBID~ added     0013         Team Ness      7813     
-#> # ... with 162 more rows, and 6 more variables: player_name <chr>, pos <chr>,
-#> #   team <chr>, bbid_spent <dbl>, trade_partner <chr>, comments <chr>
        -

        For a more detailed usage example, including a template dynasty league analysis script, please check out the reference articles and/or vignettes!

        -
        -
        -

        -Contributing

        -

        Many hands make light work! Here are some ways you can contribute to this project:

        - -
        -
        -

        -Terms of Use

        -

        The R code for this package is released as open source under the MIT license.

        -

        The APIs and data accessed by this package belong to their respective owners, and are governed by their terms of use.

        -
        -
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        - - -
        - - -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
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--- a/docs/news/index.html +++ /dev/null @@ -1,195 +0,0 @@ - - - - - - - - -Changelog • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

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        Changelog

        - Source: NEWS.md -
        - -
        -

        -ffscrapr (development version)

        -
          -
        • 2020-05-18 - initial commit and roadmap generated, add mfl_connect and mfl_endpoint_league functions
          • -
        • 2020-05-19 - following httr API vignette and created generic call to MFL API via get_mfl_endpoint() -
          • -
        • 2020-05-23 - adding rate limiting and beginnings of Sleeper connection code
          • -
        • 2020-05-27 - adding test folder, renamed main-level functions to “ff_” prefix for ease of autocomplete later
          • -
        • 2020-05-30 - add start of league summary code
          • -
        • 2020-06-07 - taking a big whack at testing stuff
          • -
        • 2020-06-08 - add pkgdown site
          • -
        • 2020-06-13 - switch to S3 methods and add memoise
          • -
        • 2020-06-21 - add ff_rosters and ff_franchises
          • -
        • 2020-07-10 - add ff_draft
          • -
        • 2020-07-16 - add dynastyprocess helpers
          • -
        • 2020-07-26 - add ff_playerscores
          • -
        • 2020-07-27 - finish ff_transactions, add “conn” argument and custom_players argument to mfl_players()
          • -
        • 2020-07-28 - add ff_standings
          • -
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        Developed by Tan Ho.

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        Import latest DynastyProcess player IDs

        - Source: R/dp_import.R - -
        - -
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        Fetches a copy of the latest DynastyProcess player IDs csv

        -
        - - 
        dp_playerids()
        - - -

        Value

        - -

        a tibble of trade values

        -

        See also

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        https://github.com/DynastyProcess/data

        - -

        Examples

        - 
        dp_playerids()
        #> # A tibble: 2,071 x 19
-#>    mfl_id sportradar_id gsis_id fantasypros_id ffcalculator_id pfr_id cfbref_id
-#>    <chr>  <chr>         <chr>   <chr>          <chr>           <chr>  <chr>    
-#>  1 10005  680fd5cf-3bd~ 00-002~ NA             NA              WatsD~ dekoda-w~
-#>  2 10026  f1cff356-8de~ 00-002~ NA             NA              ColeK~ kurt-col~
-#>  3 10077  72f5a27a-544~ 00-002~ NA             NA              IvorC~ NA       
-#>  4 10103  6bc584ed-82c~ 00-002~ NA             NA              NA     NA       
-#>  5 10111  f0d837e0-54e~ 00-002~ NA             NA              LoveK~ NA       
-#>  6 10122  4a8190f6-039~ 00-002~ NA             NA              StewD~ NA       
-#>  7 10143  cee49408-2e9~ 00-002~ NA             NA              NA     NA       
-#>  8 10149  688f7a3b-4d6~ 00-002~ NA             NA              BrocT~ NA       
-#>  9 10220  39ee3bee-117~ 00-002~ NA             NA              SendA~ NA       
-#> 10 10250  4f799675-2b2~ 00-002~ NA             NA              SherM~ NA       
-#> # ... with 2,061 more rows, and 12 more variables: sleeper_id <chr>,
-#> #   espn_id <chr>, fleaflicker_id <chr>, name <chr>, merge_name <chr>,
-#> #   position <chr>, team <chr>, age <dbl>, draft_year <int>, draft_round <int>,
-#> #   draft_pick <int>, birthdate <chr>
        -
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        Developed by Tan Ho.

        -
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        Site built with pkgdown 1.5.1.

        -
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        - - - - - - - - diff --git a/docs/reference/dp_values.html b/docs/reference/dp_values.html deleted file mode 100644 index 9db1c247..00000000 --- a/docs/reference/dp_values.html +++ /dev/null @@ -1,212 +0,0 @@ - - - - - - - - -Import latest DynastyProcess values — dp_values • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        Import latest DynastyProcess values

        - Source: R/dp_import.R - -
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        -

        Fetches a copy of the latest DynastyProcess dynasty trade values sheet

        -
        - - 
        dp_values(file = c("values.csv", "values-players.csv", "values-picks.csv"))
        - -

        Arguments

        - - - - - - -
        file

        one of c("values.csv","values-players.csv","values-picks.csv")

        - -

        Value

        - -

        a tibble of trade values

        -

        See also

        - -

        https://github.com/DynastyProcess/data

        - -

        Examples

        - 
        dp_values()
        #> # A tibble: 487 x 12
-#>    player pos   team    age draft_year ecr_1qb ecr_2qb ecr_pos value_1qb
-#>    <chr>  <chr> <chr> <dbl>      <int>   <dbl>   <dbl>   <dbl>     <int>
-#>  1 Chris~ RB    CAR    24.1       2017     1.1     1.1     1.1     10232
-#>  2 Saquo~ RB    NYG    23.5       2018     2       2.3     1.9     10018
-#>  3 Micha~ WR    NOS    27.4       2016     3.2     3.6     1        9739
-#>  4 Ezeki~ RB    DAL    25         2016     4.6     5.9     3.1      9424
-#>  5 Alvin~ RB    NOS    25         2017     6       7.9     4.2      9119
-#>  6 Davan~ WR    GBP    27.6       2014     8.1    10.4     3.5      8680
-#>  7 Tyree~ WR    KCC    26.4       2016     8.2    10.6     3.3      8660
-#>  8 DeAnd~ WR    ARI    28.1       2013     8.7    11.3     3.8      8559
-#>  9 Dalvi~ RB    MIN    25         2017     9.1    12.1     6        8478
-#> 10 Chris~ WR    TBB    24.4       2017     9.5    12.4     4.8      8399
-#> # ... with 477 more rows, and 3 more variables: value_2qb <int>,
-#> #   scrape_date <date>, fp_id <chr>
        -
        - -
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        Developed by Tan Ho.

        -
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        Site built with pkgdown 1.5.1.

        -
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        -
        - - - - - - - - diff --git a/docs/reference/ff_connect.html b/docs/reference/ff_connect.html deleted file mode 100644 index c635d8a7..00000000 --- a/docs/reference/ff_connect.html +++ /dev/null @@ -1,219 +0,0 @@ - - - - - - - - -Connect to a League — ff_connect • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        Connect to a League

        - Source: R/generics.R - -
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        -

        This function creates a connection object which stores parameters and gets a login-cookie if available - it does so by passing arguments to the appropriate league-based handler.

        -
        - - 
        ff_connect(platform = "mfl", league_id, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        platform

        one of MFL or Sleeper (Fleaflicker, ESPN, Yahoo in approximate priority order going forward)

        league_id

        league_id (currently assuming one league at a time)

        ...

        other parameters passed to the connect function for each specific platform.

        -

        rate_limit Defaults to TRUE. Pass FALSE to turn off.

        -

        rate_limit_number number of attempts to try in rate_limit_seconds.

        -

        APIKEY MFL-specific - grants access to perform something as a user in a specific league

        -

        user_name Collects user_name field for leagues that support it (MFL, Sleeper so far)

        -

        password Collects password and attempts to fetch an authorization token which functions a lot like an APIKEY

        -

        user_agent Identifies user scraping the data

        - -

        Value

        - -

        a connection object to be used with ff_* functions

        -

        See also

        - -

        mfl_connect, sleeper_connect

        - -

        Examples

        - 
        ff_connect(platform = "mfl", season = 2019, league_id = 54040, rate_limit = FALSE)
        #> <MFL connection 2019_54040>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2019
-#>  $ league_id  : chr "54040"
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
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        - -
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        Developed by Tan Ho.

        -
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        Site built with pkgdown 1.5.1.

        -
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        -
        - - - - - - - - diff --git a/docs/reference/ff_draft.html b/docs/reference/ff_draft.html deleted file mode 100644 index 118fecb6..00000000 --- a/docs/reference/ff_draft.html +++ /dev/null @@ -1,223 +0,0 @@ - - - - - - - - -Get Draft Results — ff_draft • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        Get Draft Results

        - Source: R/generics.R, R/mfl_draft.R - -
        - -
        -

        This function gets a table of the draft results for the current year. -Can handle MFL devy drafts or startup drafts by specifying the custom_players argument

        -
        - - 
        ff_draft(conn, ...)
-
-# S3 method for mfl_conn
-ff_draft(conn, custom_players = FALSE, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        ...

        not sure if there'll be other params yet!

        custom_players

        TRUE or FALSE - retrieve custom players from the MFL database? (Devy, placeholder picks etc)

        - -

        Value

        - -

        A tibble of draft results

        - -

        Examples

        - 
        ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_draft(ssb_conn)
        #> # A tibble: 57 x 10
-#>    timestamp           round pick  franchise_id franchise_name player_id
-#>    <dttm>              <chr> <chr> <chr>        <chr>          <chr>    
-#>  1 2020-05-15 19:43:56 01    01    0001         Team Pikachu   14803    
-#>  2 2020-05-15 19:53:18 01    02    0012         Team Mewtwo    14802    
-#>  3 2020-05-15 19:58:24 01    03    0010         Team Yoshi     14797    
-#>  4 2020-05-15 21:19:59 01    04    0013         Team Ness      14800    
-#>  5 2020-05-16 02:47:24 01    05    0010         Team Yoshi     14799    
-#>  6 2020-05-16 02:48:15 01    06    0012         Team Mewtwo    14833    
-#>  7 2020-05-16 04:03:59 01    07    0011         Team Diddy Ko~ 14832    
-#>  8 2020-05-16 07:00:48 01    08    0007         Team Kirby     14839    
-#>  9 2020-05-16 12:38:48 01    09    0006         Team King Ded~ 14836    
-#> 10 2020-05-16 13:47:29 01    10    0006         Team King Ded~ 14834    
-#> # ... with 47 more rows, and 4 more variables: player_name <chr>, pos <chr>,
-#> #   age <dbl>, team <chr>
        -
        - -
        - - -
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        Developed by Tan Ho.

        -
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        Site built with pkgdown 1.5.1.

        -
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        -
        - - - - - - - - diff --git a/docs/reference/ff_draftpicks.html b/docs/reference/ff_draftpicks.html deleted file mode 100644 index 5f38660c..00000000 --- a/docs/reference/ff_draftpicks.html +++ /dev/null @@ -1,216 +0,0 @@ - - - - - - - - -Get Draft Picks — ff_draftpicks • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
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        -

        Get Draft Picks

        - Source: R/generics.R, R/mfl_draftpicks.R - -
        - -
        -

        Get current and future draft picks that have not yet been selected/converted into players

        -
        - - 
        ff_draftpicks(conn, ...)
-
-# S3 method for mfl_conn
-ff_draftpicks(conn, ...)
        - -

        Arguments

        - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        ...

        other arguments (currently unused)

        - -

        Value

        - -

        a tibble detailing future draft picks

        - -

        Examples

        - 
        dlf_conn <- mfl_connect(2020, league_id = 37920)
-ff_draftpicks(conn = dlf_conn)
        #> # A tibble: 80 x 5
-#>    season franchise_id franchise_name round original_franchise_id
-#>     <dbl> <chr>        <chr>          <dbl> <chr>                
-#>  1   2021 0001         @dibari22          1 0001                 
-#>  2   2021 0001         @dibari22          2 0001                 
-#>  3   2021 0001         @dibari22          3 0001                 
-#>  4   2021 0001         @dibari22          4 0001                 
-#>  5   2021 0001         @dibari22          5 0001                 
-#>  6   2021 0002         @_PeteLaw          1 0002                 
-#>  7   2021 0002         @_PeteLaw          2 0002                 
-#>  8   2021 0002         @_PeteLaw          3 0002                 
-#>  9   2021 0002         @_PeteLaw          4 0002                 
-#> 10   2021 0002         @_PeteLaw          5 0002                 
-#> # ... with 70 more rows
        -
        - -
        - - -
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        Developed by Tan Ho.

        -
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        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/ff_franchises.html b/docs/reference/ff_franchises.html deleted file mode 100644 index 8a6570f5..00000000 --- a/docs/reference/ff_franchises.html +++ /dev/null @@ -1,216 +0,0 @@ - - - - - - - - -Get League Franchises — ff_franchises • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get League Franchises

        - Source: R/generics.R, R/mfl_franchises.R - -
        - -
        -

        Returns a tidy dataframe of franchises and any relevant information

        -
        - - 
        ff_franchises(conn)
-
-# S3 method for mfl_conn
-ff_franchises(conn)
        - -

        Arguments

        - - - - - - -
        conn

        a conn object created by ff_connect()

        - -

        Value

        - -

        A tibble of franchises, complete with IDs

        - -

        Examples

        - 
        ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_franchises(ssb_conn)
        #> # A tibble: 14 x 7
-#>    franchise_id franchise_name logo  icon  abbrev bbidAvailableBa~
-#>    <chr>        <chr>          <chr> <chr> <chr>  <chr>           
-#>  1 0001         Team Pikachu   http~ http~ PIKA   200.00          
-#>  2 0002         Team Simon Be~ http~ http~ SIMN   200.00          
-#>  3 0003         Team Captain ~ http~ http~ CFCN   200.00          
-#>  4 0004         Team Ice Clim~ http~ http~ ICE    158.00          
-#>  5 0005         Team Dr. Mario http~ http~ DRM    200.00          
-#>  6 0006         Team King Ded~ http~ http~ KDDD   200.00          
-#>  7 0007         Team Kirby     http~ http~ KRBY   196.00          
-#>  8 0008         Team Fox       http~ http~ FOX    200.00          
-#>  9 0009         Team Link      http~ http~ LINK   200.00          
-#> 10 0010         Team Yoshi     http~ http~ YSHI   173.00          
-#> 11 0011         Team Diddy Ko~ http~ http~ DDY    200.00          
-#> 12 0012         Team Mewtwo    http~ http~ MEW2   200.00          
-#> 13 0013         Team Ness      http~ http~ NA     179.00          
-#> 14 0014         Team Luigi     http~ http~ LUIG   191.00          
-#> # ... with 1 more variable: waiverSortOrder <chr>
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/ff_league.html b/docs/reference/ff_league.html deleted file mode 100644 index 51df0e01..00000000 --- a/docs/reference/ff_league.html +++ /dev/null @@ -1,204 +0,0 @@ - - - - - - - - -Get League Summary — ff_league • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        - - - - -
        - -
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        Get League Summary

        - Source: R/generics.R, R/mfl_league.R - -
        - -
        -

        This function returns a tibble of common league settings, including details like "1QB" or "2QB/SF", best ball, team count etc

        -
        - - 
        ff_league(conn)
-
-# S3 method for mfl_conn
-ff_league(conn)
        - -

        Arguments

        - - - - - - -
        conn

        the connection object created by ff_connect()

        - -

        Value

        - -

        A one-row tibble of league settings.

        - -

        Examples

        - 
        ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_league(ssb_conn)
        #> # A tibble: 1 x 13
-#>   league_id league_name franchise_count qb_type idp   scoring_flags best_ball
-#>   <chr>     <chr>                 <dbl> <chr>   <lgl> <chr>         <lgl>    
-#> 1 54040     The Super ~              14 1QB     FALSE 0.5_ppr, TEP~ TRUE     
-#> # ... with 6 more variables: salary_cap <lgl>, player_copies <dbl>,
-#> #   years_active <chr>, qb_count <chr>, roster_size <dbl>, league_depth <dbl>
        -
        - -
        - - -
        -
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        Developed by Tan Ho.

        -
        - -
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        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/ff_playerscores.html b/docs/reference/ff_playerscores.html deleted file mode 100644 index cbaf5c8f..00000000 --- a/docs/reference/ff_playerscores.html +++ /dev/null @@ -1,224 +0,0 @@ - - - - - - - - -Get Player Scoring History — ff_playerscores • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        - - - - -
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        -

        Get Player Scoring History

        - Source: R/generics.R, R/mfl_playerscores.R - -
        - -
        -

        This function returns a tibble of player scores based on league rules

        -
        - - 
        ff_playerscores(conn, season, week, ...)
-
-# S3 method for mfl_conn
-ff_playerscores(conn, season, week, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        season

        the season of interest - generally only the most recent 2-3 seasons are available

        week

        a numeric or one of YTD (year-to-date) or AVG (average to date)

        ...

        other arguments (currently unused)

        - -

        Value

        - -

        A tibble of historical player scoring

        - -

        Examples

        - 
        dlf_conn <- mfl_connect(2020, league_id = 37920)
-ff_playerscores(conn = dlf_conn, season = 2019, week = "YTD")
        #> # A tibble: 597 x 8
-#>    season week  player_id player_name          pos   team  points isAvailable
-#>     <dbl> <chr> <chr>     <chr>                <chr> <chr> <chr>  <chr>      
-#>  1   2019 YTD   13593     Jackson, Lamar       QB    BAL   480.68 0          
-#>  2   2019 YTD   13130     McCaffrey, Christian RB    CAR   469.20 0          
-#>  3   2019 YTD   12652     Thomas, Michael      WR    NOS   391.00 0          
-#>  4   2019 YTD   11244     Kelce, Travis        TE    KCC   369.80 0          
-#>  5   2019 YTD   12625     Elliott, Ezekiel     RB    DAL   355.70 0          
-#>  6   2019 YTD   12620     Prescott, Dak        QB    DAL   351.78 0          
-#>  7   2019 YTD   12626     Henry, Derrick       RB    TEN   351.60 0          
-#>  8   2019 YTD   13113     Watson, Deshaun      QB    HOU   342.08 0          
-#>  9   2019 YTD   10703     Wilson, Russell      QB    SEA   339.70 0          
-#> 10   2019 YTD   13319     Jones, Aaron         RB    GBP   337.90 0          
-#> # ... with 587 more rows
        -
        - -
        - - -
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        Developed by Tan Ho.

        -
        - -
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        -
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        -
        - - - - - - - - diff --git a/docs/reference/ff_rosters.html b/docs/reference/ff_rosters.html deleted file mode 100644 index f77d3ee2..00000000 --- a/docs/reference/ff_rosters.html +++ /dev/null @@ -1,221 +0,0 @@ - - - - - - - - -Get League Rosters — ff_rosters • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        Get League Rosters

        - Source: R/generics.R, R/mfl_rosters.R - -
        - -
        -

        This function returns a tibble of team rosters

        -
        - - 
        ff_rosters(conn, ...)
-
-# S3 method for mfl_conn
-ff_rosters(conn, custom_players = FALSE, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        ...

        arguments passed to other methods (currently none)

        custom_players

        TRUE or FALSE - include custom players? defaults to FALSE

        - -

        Value

        - -

        A tibble of rosters, joined to basic player information and basic franchise information

        - -

        Examples

        - 
        ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_rosters(ssb_conn)
        #> # A tibble: 432 x 11
-#>    franchise_id franchise_name player_id player_name pos   team    age
-#>    <chr>        <chr>          <chr>     <chr>       <chr> <chr> <dbl>
-#>  1 0001         Team Pikachu   13129     Fournette,~ RB    JAC    25.5
-#>  2 0001         Team Pikachu   13189     Engram, Ev~ TE    NYG    25.9
-#>  3 0001         Team Pikachu   11680     Landry, Ja~ WR    CLE    27.7
-#>  4 0001         Team Pikachu   13290     Cohen, Tar~ RB    CHI    25  
-#>  5 0001         Team Pikachu   13155     Ross, John  WR    CIN    24.7
-#>  6 0001         Team Pikachu   13158     Westbrook,~ WR    JAC    26.7
-#>  7 0001         Team Pikachu   10273     Newton, Cam QB    NEP    31.2
-#>  8 0001         Team Pikachu   14085     Pollard, T~ RB    DAL    23.3
-#>  9 0001         Team Pikachu   13139     Williams, ~ RB    GBP    25.3
-#> 10 0001         Team Pikachu   13649     Hamilton, ~ WR    DEN    25.4
-#> # ... with 422 more rows, and 4 more variables: roster_status <chr>,
-#> #   drafted <chr>, draft_year <chr>, draft_round <chr>
        -
        - -
        - - -
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        Developed by Tan Ho.

        -
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        -
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        -
        - - - - - - - - diff --git a/docs/reference/ff_schedule.html b/docs/reference/ff_schedule.html deleted file mode 100644 index f40f4ba6..00000000 --- a/docs/reference/ff_schedule.html +++ /dev/null @@ -1,218 +0,0 @@ - - - - - - - - -Get Schedule — ff_schedule • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        Get Schedule

        - Source: R/generics.R, R/mfl_schedule.R - -
        - -
        -

        This function returns a tibble with one row for every team for every weekly matchup

        -
        - - 
        ff_schedule(conn, ...)
-
-# S3 method for mfl_conn
-ff_schedule(conn, ...)
        - -

        Arguments

        - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        ...

        additional args which might be used eventually

        - -

        Value

        - -

        A tidy dataframe with one row per game per franchise per week

        - -

        Examples

        - 
        ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_schedule(ssb_conn)
        #> # A tibble: 236 x 5
-#>     week franchise_id spread result opponent_id
-#>    <dbl> <chr>         <dbl> <chr>  <chr>      
-#>  1     1 0001              0 T      0003       
-#>  2     1 0002              0 T      0004       
-#>  3     1 0003              0 T      0001       
-#>  4     1 0004              0 T      0002       
-#>  5     1 0005              0 T      0008       
-#>  6     1 0006              0 T      0012       
-#>  7     1 0007              0 T      0009       
-#>  8     1 0008              0 T      0005       
-#>  9     1 0009              0 T      0007       
-#> 10     1 0010              0 T      0014       
-#> # ... with 226 more rows
        
-
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        -
        - -
        - - -
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        Developed by Tan Ho.

        -
        - -
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        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/ff_scoring.html b/docs/reference/ff_scoring.html deleted file mode 100644 index e53b2d56..00000000 --- a/docs/reference/ff_scoring.html +++ /dev/null @@ -1,202 +0,0 @@ - - - - - - - - -Get League Scoring settings — ff_scoring • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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        Get League Scoring settings

        - Source: R/generics.R, R/mfl_scoring.R - -
        - -
        -

        This function returns a dataframe with detailed scoring settings, broken down by position, event, range, and points.

        -
        - - 
        ff_scoring(conn)
-
-# S3 method for mfl_conn
-ff_scoring(conn)
        - -

        Arguments

        - - - - - - -
        conn

        a conn object created by ff_connect()

        - -

        Value

        - -

        A tibble of league scoring rules for each position defined.

        -

        See also

        - -

        http://www03.myfantasyleague.com/2020/scoring_rules#rules

        - -

        Examples

        - 
        ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_scoring(ssb_conn)
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/ff_standings.html b/docs/reference/ff_standings.html deleted file mode 100644 index 53d77ec7..00000000 --- a/docs/reference/ff_standings.html +++ /dev/null @@ -1,222 +0,0 @@ - - - - - - - - -Get Standings — ff_standings • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get Standings

        - Source: R/generics.R, R/mfl_standings.R - -
        - -
        -

        This function returns a tibble of season-long fantasy team stats

        -
        - - 
        ff_standings(conn, ...)
-
-# S3 method for mfl_conn
-ff_standings(conn, ...)
        - -

        Arguments

        - - - - - - - - - - -
        conn

        a conn object created by ff_connect()

        ...

        arguments passed to other methods (currently none)

        - -

        Value

        - -

        A tibble of standings

        - -

        Examples

        - 
        ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
-ff_standings(ssb_conn)
        #> # A tibble: 14 x 14
-#>    franchise_id franchise_name h2h_wins h2h_losses h2h_ties h2h_winpct
-#>    <chr>        <chr>             <dbl>      <dbl>    <dbl>      <dbl>
-#>  1 0001         Team Pikachu          0          0        0        NaN
-#>  2 0002         Team Simon Be~        0          0        0        NaN
-#>  3 0003         Team Captain ~        0          0        0        NaN
-#>  4 0004         Team Ice Clim~        0          0        0        NaN
-#>  5 0005         Team Dr. Mario        0          0        0        NaN
-#>  6 0006         Team King Ded~        0          0        0        NaN
-#>  7 0007         Team Kirby            0          0        0        NaN
-#>  8 0008         Team Fox              0          0        0        NaN
-#>  9 0009         Team Link             0          0        0        NaN
-#> 10 0010         Team Yoshi            0          0        0        NaN
-#> 11 0011         Team Diddy Ko~        0          0        0        NaN
-#> 12 0012         Team Mewtwo           0          0        0        NaN
-#> 13 0013         Team Ness             0          0        0        NaN
-#> 14 0014         Team Luigi            0          0        0        NaN
-#> # ... with 8 more variables: allplay_wins <dbl>, allplay_losses <dbl>,
-#> #   allplay_ties <dbl>, allplay_winpct <dbl>, points_for <dbl>,
-#> #   points_against <dbl>, victory_points <dbl>, power_rank <dbl>
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/ff_transactions.html b/docs/reference/ff_transactions.html deleted file mode 100644 index d538c16b..00000000 --- a/docs/reference/ff_transactions.html +++ /dev/null @@ -1,221 +0,0 @@ - - - - - - - - -Get League Transactions — ff_transactions • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Get League Transactions

        - Source: R/generics.R, R/mfl_transactions.R - -
        - -
        -

        This function returns a tibble of transactions

        -
        - - 
        ff_transactions(conn, ...)
-
-# S3 method for mfl_conn
-ff_transactions(conn, custom_players = FALSE, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        ...

        additional args

        custom_players

        TRUE or FALSE - fetch custom players

        - -

        Value

        - -

        A tidy dataframe of transaction data

        - -

        Examples

        - 
        dlf_conn <- mfl_connect(2019, league_id = 37920)
-ff_transactions(dlf_conn)
        #> # A tibble: 1,146 x 12
-#>    timestamp           type  type_desc franchise_id franchise_name player_id
-#>    <dttm>              <chr> <chr>     <chr>        <chr>          <chr>    
-#>  1 2019-12-19 11:56:49 FREE~ added     0003         Electric Spid~ 13868    
-#>  2 2019-12-19 11:56:49 FREE~ dropped   0003         Electric Spid~ 13387    
-#>  3 2019-12-19 03:03:13 FREE~ added     0019         Advance Repti~ 12857    
-#>  4 2019-12-19 03:03:13 FREE~ dropped   0019         Advance Repti~ 11186    
-#>  5 2019-12-19 03:02:26 FREE~ added     0019         Advance Repti~ 13868    
-#>  6 2019-12-19 03:02:26 FREE~ dropped   0019         Advance Repti~ 14305    
-#>  7 2019-12-15 17:28:15 FREE~ added     0003         Electric Spid~ 12197    
-#>  8 2019-12-15 17:27:28 FREE~ dropped   0003         Electric Spid~ 12623    
-#>  9 2019-12-15 17:27:00 FREE~ added     0003         Electric Spid~ 13387    
-#> 10 2019-12-15 17:26:27 IR    deactiva~ 0003         Electric Spid~ 14138    
-#> # ... with 1,136 more rows, and 6 more variables: player_name <chr>, pos <chr>,
-#> #   team <chr>, bbid_spent <dbl>, trade_partner <chr>, comments <chr>
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
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e978c766..00000000 --- a/docs/reference/forget.html +++ /dev/null @@ -1,181 +0,0 @@ - - - - - - - - -Clear memoised cache — forget • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

        -
        - - - - -
        - -
        -
        -
        -

        Clear memoised cache

        - Source: R/utils.R - -
        - -
        -

        See memoise::forget for details.

        -
        - - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/index.html b/docs/reference/index.html deleted file mode 100644 index 3a3fca9c..00000000 --- a/docs/reference/index.html +++ /dev/null @@ -1,364 +0,0 @@ - - - - - - - - -Function reference • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Reference

        -
        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -

        ffscrapr reference

        -

        -
        -

        FF

        -

        The main interface - these functions are designed to wrap the platform-specific methods to return generic input.

        -
        -

        ff_connect()

        -

        Connect to a League

        -

        ff_draft()

        -

        Get Draft Results

        -

        ff_draftpicks()

        -

        Get Draft Picks

        -

        ff_franchises()

        -

        Get League Franchises

        -

        ff_league()

        -

        Get League Summary

        -

        ff_playerscores()

        -

        Get Player Scoring History

        -

        ff_rosters()

        -

        Get League Rosters

        -

        ff_schedule()

        -

        Get Schedule

        -

        ff_scoring()

        -

        Get League Scoring settings

        -

        ff_standings()

        -

        Get Standings

        -

        ff_transactions()

        -

        Get League Transactions

        -

        MFL

        -

        Additional functions designed/optimized for the MFL platform.

        -
        -

        mfl_connect()

        -

        Connect to MFL League

        -

        mfl_getendpoint()

        -

        GET any MFL endpoint

        -

        mfl_players()

        -

        MFL players library

        -

        Sleeper

        -

        Additional functions designed/optimized for the Sleeper platform.

        -
        -

        sleeper_connect()

        -

        Connect to Sleeper League

        -

        DynastyProcess

        -

        Functions to interface with DynastyProcess data

        -
        -

        dp_playerids()

        -

        Import latest DynastyProcess player IDs

        -

        dp_values()

        -

        Import latest DynastyProcess values

        -

        Misc

        -

        Additional helper functions

        -
        -

        forget

        -

        Clear memoised cache

        -
        - - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/mfl_connect.html b/docs/reference/mfl_connect.html deleted file mode 100644 index a43c2820..00000000 --- a/docs/reference/mfl_connect.html +++ /dev/null @@ -1,254 +0,0 @@ - - - - - - - - -Connect to MFL League — mfl_connect • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
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        Connect to MFL League

        - Source: R/mfl_connect.R - -
        - -
        -

        This function creates a connection object which stores parameters and gets a login-cookie if available

        -
        - - 
        mfl_connect(
-  season = NULL,
-  league_id = NULL,
-  APIKEY = NULL,
-  user_name = NULL,
-  password = NULL,
-  user_agent = NULL,
-  rate_limit = TRUE,
-  rate_limit_number = 4,
-  rate_limit_seconds = 5
-)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        season

        Season to access on MFL - if missing, will guess based on system date (current year if March or later, otherwise previous year)

        league_id

        league_id Numeric ID parameter for each league, typically found in the URL

        APIKEY

        APIKEY - optional - allows access to private leagues. Key is unique for each league and accessible from Developer's API page (currently assuming one league at a time)

        user_name

        MFL user_name - optional - when supplied in conjunction with a password, will attempt to retrieve authentication token

        password

        MFL password - optional - when supplied in conjunction with user_name, will attempt to retrieve authentication token

        user_agent

        A string representing the user agent to be used to identify calls - may find improved rate_limits if verified token

        rate_limit

        TRUE by default, pass FALSE to turn off rate limiting

        rate_limit_number

        number of calls per rate_limit_seconds, suggested is 60 calls per 60 seconds

        rate_limit_seconds

        number of seconds as denominator for rate_limit

        - -

        Value

        - -

        a connection object to be used with ff_* functions

        -

        See also

        - -

        ff_connect, sleeper_connect

        - -

        Examples

        - 
        mfl_connect(season = 2020, league_id = 54040)
        #> <MFL connection 2020_54040>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2020
-#>  $ league_id  : chr "54040"
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
        mfl_connect(season = 2019, league_id = 54040, rate_limit = FALSE)
        #> <MFL connection 2019_54040>
-#> List of 5
-#>  $ platform   : chr "MFL"
-#>  $ season     : num 2019
-#>  $ league_id  : chr "54040"
-#>  $ APIKEY     : NULL
-#>  $ auth_cookie: NULL
-#>  - attr(*, "class")= chr "mfl_conn"
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/mfl_getendpoint.html b/docs/reference/mfl_getendpoint.html deleted file mode 100644 index 59ed435e..00000000 --- a/docs/reference/mfl_getendpoint.html +++ /dev/null @@ -1,210 +0,0 @@ - - - - - - - - -GET any MFL endpoint — mfl_getendpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        GET any MFL endpoint

        - Source: R/mfl_api.R - -
        - -
        -

        Create a GET request to any MFL export endpoint.

        -
        - - 
        mfl_getendpoint(conn, endpoint, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        the list object created by mfl_connect()

        endpoint

        a string defining which endpoint to return from the API

        ...

        Arguments which will be passed as "argumentname = argument" in an HTTP query parameter

        - -

        Value

        - -

        A list object containing the query, response, and parsed content.

        -

        Details

        - -

        This function will read the connection object and automatically pass in the rate-limiting, league ID (L), authentication cookie, and/or API key (APIKEY) if configured in the connection object.

        -

        The endpoint names and HTTP parameters (i.e. argument names) are CASE SENSITIVE and should be passed in exactly as displayed on the MFL API reference page.

        -

        Check out the vignette for more details and example usage.

        -

        See also

        - -

        https://api.myfantasyleague.com/2020/api_info?STATE=details

        -

        vignette("mfl_getendpoint")

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/mfl_players.html b/docs/reference/mfl_players.html deleted file mode 100644 index 4591757c..00000000 --- a/docs/reference/mfl_players.html +++ /dev/null @@ -1,210 +0,0 @@ - - - - - - - - -MFL players library — mfl_players • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        MFL players library

        - Source: R/mfl_rosters.R - -
        - -
        -

        A cached table of MFL players. Will store in memory for each session! -(via memoise in zzz.R)

        -
        - - 
        mfl_players(conn = NULL)
        - -

        Arguments

        - - - - - - -
        conn

        optionally, pass in a conn object generated by ff_connect to receive league-specific custom players

        - -

        Value

        - -

        a dataframe containing all ~2000+ players in the MFL database

        - -

        Examples

        - 
        player_list <- mfl_players()
-dplyr::sample_n(player_list, 5)
        #> # A tibble: 5 x 25
-#>   player_id player_name pos     age team  status draft_year draft_team
-#>   <chr>     <chr>       <chr> <dbl> <chr> <chr>  <chr>      <chr>     
-#> 1 12781     Burris, Ju~ S      27   CAR   NA     2016       NYJ       
-#> 2 13280     Williams, ~ WR     25.8 IND   NA     2017       ARI       
-#> 3 14324     Raymond, D~ TE     25.7 PIT   NA     2019       FA        
-#> 4 9816      Berry, Eric S      31.6 FA    NA     2010       KCC       
-#> 5 14079     Sanders, M~ RB     23.3 PHI   NA     2019       PHI       
-#> # ... with 17 more variables: draft_round <chr>, draft_pick <chr>,
-#> #   stats_global_id <chr>, stats_id <chr>, cbs_id <chr>, fleaflicker_id <chr>,
-#> #   sportsdata_id <chr>, rotoworld_id <chr>, rotowire_id <chr>, nfl_id <chr>,
-#> #   espn_id <chr>, twitter_username <chr>, college <chr>, height <chr>,
-#> #   weight <chr>, jersey <chr>, birthdate <date>
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/mfl_playerscores.html b/docs/reference/mfl_playerscores.html deleted file mode 100644 index a4df585e..00000000 --- a/docs/reference/mfl_playerscores.html +++ /dev/null @@ -1,204 +0,0 @@ - - - - - - - - -MFL PlayerScores — ff_playerscores.mfl_conn • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        MFL PlayerScores

        - Source: R/mfl_playerscores.R - -
        - -
        -

        Get weekly or full-year/YTD/avg points scored

        -
        - - 
        # S3 method for mfl_conn
-ff_playerscores(conn, season, week, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - -
        conn

        the list object created by ff_connect()

        season

        the season of interest - generally only the most recent 2-3 seasons are available

        week

        a numeric or one of YTD (year-to-date) or AVG (average to date)

        ...

        other arguments (currently unused)

        - -

        Value

        - -

        a tibble detailing historical player scores

        - -

        Examples

        - 
        dlf_conn <- mfl_connect(2020,league_id = 37920)
-mfl_playerscores(conn = dlf_conn, season = 2020, week = "YTD")
        #> Error in mfl_playerscores(conn = dlf_conn, season = 2020, week = "YTD"): could not find function "mfl_playerscores"
        
-
        -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/pipe.html b/docs/reference/pipe.html deleted file mode 100644 index 79066822..00000000 --- a/docs/reference/pipe.html +++ /dev/null @@ -1,182 +0,0 @@ - - - - - - - - -Pipe operator — %>% • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Pipe operator

        - Source: R/utils.R - -
        - -
        -

        See magrittr::%>% for details.

        -
        - - 
        lhs %>% rhs
        - - - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/sleeper_connect.html b/docs/reference/sleeper_connect.html deleted file mode 100644 index 31f7ffe4..00000000 --- a/docs/reference/sleeper_connect.html +++ /dev/null @@ -1,225 +0,0 @@ - - - - - - - - -Connect to Sleeper League — sleeper_connect • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        Connect to Sleeper League

        - Source: R/sleeper.R - -
        - -
        -

        This function creates a connection object which stores parameters and a user ID if available.

        -
        - - 
        sleeper_connect(
-  season = NULL,
-  league_id = NULL,
-  user_name = NULL,
-  user_agent = NULL,
-  rate_limit = TRUE,
-  rate_limit_number = 100,
-  rate_limit_seconds = 60
-)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        season

        Season to access on Sleeper - if missing, will guess based on system date (current year if March or later, otherwise previous year)

        league_id

        League ID (currently assuming one league at a time)

        user_name

        Sleeper user_name - optional - attempts to get user's user ID

        user_agent

        User agent to self-identify (optional)

        rate_limit

        TRUE by default - turn off rate limiting with FALSE

        rate_limit_number

        number of calls per rate_limit_seconds, suggested is 100 calls per 60 seconds

        rate_limit_seconds

        number of seconds as denominator for rate_limit

        - -

        Value

        - -

        a list that stores MFL connection objects

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/reference/sleeper_getendpoint.html b/docs/reference/sleeper_getendpoint.html deleted file mode 100644 index ac56b277..00000000 --- a/docs/reference/sleeper_getendpoint.html +++ /dev/null @@ -1,189 +0,0 @@ - - - - - - - - -GET Sleeper endpoint -## NOT YET WORKING ## — sleeper_getendpoint • ffscrapr - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        -
        - - - - -
        - -
        -
        -
        -

        GET Sleeper endpoint -## NOT YET WORKING ##

        - Source: R/sleeper.R - -
        - -
        -

        Create a GET request to any MFL export endpoint

        -
        - - 
        sleeper_getendpoint(conn, endpoint, ...)
        - -

        Arguments

        - - - - - - - - - - - - - - -
        conn

        the list object created by mfl_connect()

        endpoint

        a string defining which endpoint to return from the API

        ...

        Arguments which will be passed as "argumentname = argument" in an HTTP query parameter

        - -

        Value

        - -

        the league endpoint for MFL

        -

        See also

        - -

        https://api.myfantasyleague.com/2020/api_info?STATE=details

        - -
        - -
        - - -
        -
        -

        Developed by Tan Ho.

        -
        - -
        -

        Site built with pkgdown 1.5.1.

        -
        - -
        -
        - - - - - - - - diff --git a/docs/sitemap.xml b/docs/sitemap.xml deleted file mode 100644 index d9ee5299..00000000 --- a/docs/sitemap.xml +++ /dev/null @@ -1,69 +0,0 @@ - - - - ffscrapr.dynastyprocess.com/index.html - - - ffscrapr.dynastyprocess.com/reference/dp_playerids.html - - - ffscrapr.dynastyprocess.com/reference/dp_values.html - - - ffscrapr.dynastyprocess.com/reference/ff_connect.html - - - ffscrapr.dynastyprocess.com/reference/ff_draft.html - - - ffscrapr.dynastyprocess.com/reference/ff_draftpicks.html - - - ffscrapr.dynastyprocess.com/reference/ff_franchises.html - - - ffscrapr.dynastyprocess.com/reference/ff_league.html - - - ffscrapr.dynastyprocess.com/reference/ff_playerscores.html - - - ffscrapr.dynastyprocess.com/reference/ff_rosters.html - - - ffscrapr.dynastyprocess.com/reference/ff_schedule.html - - - ffscrapr.dynastyprocess.com/reference/ff_scoring.html - - - ffscrapr.dynastyprocess.com/reference/ff_standings.html - - - ffscrapr.dynastyprocess.com/reference/ff_transactions.html - - - ffscrapr.dynastyprocess.com/reference/forget.html - - - ffscrapr.dynastyprocess.com/reference/mfl_connect.html - - - ffscrapr.dynastyprocess.com/reference/mfl_getendpoint.html - - - ffscrapr.dynastyprocess.com/reference/mfl_players.html - - - ffscrapr.dynastyprocess.com/reference/pipe.html - - - ffscrapr.dynastyprocess.com/reference/sleeper_connect.html - - - ffscrapr.dynastyprocess.com/articles/mfl_basics.html - - - ffscrapr.dynastyprocess.com/articles/mfl_getendpoint.html - - diff --git a/pkgdown/_pkgdown.yml b/pkgdown/_pkgdown.yml index 8f0f5a18..effb2c3a 100644 --- a/pkgdown/_pkgdown.yml +++ b/pkgdown/_pkgdown.yml @@ -72,6 +72,7 @@ navbar: - text: DynastyProcess GitHub href: https://github.com/dynastyprocess + articles: - title: Getting Started navbar: Getting Started @@ -92,16 +93,15 @@ articles: navbar: "Cache" contents: - starts_with("ffscrapr_caching") -- title: Other - navbar: "Other" - contents: - - "ffscrapr_scoringhistory" + url: ffscrapr.dynastyprocess.com authors: Tan Ho: href: https://twitter.com/_TanHo + Joe Sydlowski: + href: https://twitter.com/JoeSydlowskiFF Tony ElHabr: href: https://twitter.com/TonyElHabr @@ -113,8 +113,8 @@ template: index_name: dynastyprocess opengraph: image: - src: man/figures/ffscrapr.svg - alt: "ffscrapr - an R client for fantasy football platforms" + src: man/figures/logo.svg + alt: "ffscrapr - an R package for Fantasy Football APIs" twitter: creator: "@_TanHo" site: "@DynastyProcess" From d76d885531928182665bacee092ac38f1d512967 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 12 Jun 2021 08:40:10 -0400 Subject: [PATCH 24/31] remove docs subfolder and add to gitignore --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index ee09efe5..1bfa32cf 100644 --- a/.gitignore +++ b/.gitignore @@ -38,3 +38,5 @@ vignettes/*.pdf # R Environment Variables .Renviron inst/doc + +docs/ From 1232acc0c7a1210fd26ed0ea777e50ad79a25f71 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 12 Jun 2021 10:28:45 -0400 Subject: [PATCH 25/31] update nflfastr loc --- NEWS.md | 15 +++++++++------ R/sleeper_schedule.R | 7 +++++-- dev/rebuild_test_cache.R | 27 +++++++++++++++++++++++++++ man/dot-sleeper_matchup.Rd | 4 ++-- 4 files changed, 43 insertions(+), 10 deletions(-) create mode 100644 dev/rebuild_test_cache.R diff --git a/NEWS.md b/NEWS.md index 23248881..d5b8bd72 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,13 +1,16 @@ # ffscrapr (development version) +The main goal of v1.4.3 is to patch some minor bugs. + ## Minor changes -- `ff_league()` now has a column that returns the platform's season - this is most useful when running ff_league in batch. Thank you to @joeflan for the contribution! (Fixes #287) (v1.4.2.01) -- Added helper script in dev/ for switching between test cache versions. (v1.4.2.02) -- `ff_schedule()` for Sleeper now should extend into playoff weeks. (Fixes #289) (v1.4.2.03) -- `ff_draft()` for Sleeper now has an auction_amount column if it is an auction draft. (Fixes #291) (v1.4.2.04) -- `dp_cleannames()` now can flip names originally presented in LastName, FirstName order into First Last, and also has a custom name database to convert common alternate names to a unified one. (v1.4.2.05) -- `nflfastr_stat_mapping` and `dp_name_mapping` are namespaced within the package, so that they can be used internally and externally a little more robustly. (v1.4.2.06) +- `ff_league()` now has a column that returns the platform's season - this is most useful when running ff_league in batch. Thank you to @joeflan for the contribution! (Fixes #287) +- Added helper script in dev/ for switching between test cache versions. +- `ff_schedule()` for Sleeper now should extend into playoff weeks. (Fixes #289) +- `ff_draft()` for Sleeper now has an auction_amount column if it is an auction draft. (Fixes #291) +- `dp_cleannames()` now can flip names originally presented in LastName, FirstName order into First Last, and also has a custom name database to convert common alternate names to a unified one. +- `nflfastr_stat_mapping` and `dp_name_mapping` are namespaced within the package, so that they can be used internally and externally a little more robustly. +- Rebuilt test cache --- diff --git a/R/sleeper_schedule.R b/R/sleeper_schedule.R index a064fca7..39c0b06b 100644 --- a/R/sleeper_schedule.R +++ b/R/sleeper_schedule.R @@ -31,8 +31,11 @@ ff_schedule.sleeper_conn <- function(conn, ...) { return(matchups) } -#' individual sleeper matchup +#' Individual sleeper matchup +#' +#' #' @keywords internal +#' .sleeper_matchup <- function(week, conn, last_scored_week) { endpoint <- glue::glue("league/{conn$league_id}/matchups/{week}") @@ -57,7 +60,7 @@ ff_schedule.sleeper_conn <- function(conn, ...) { "opponent_id" = "franchise_id", "opponent_score" = "franchise_score", "matchup_id"))) %>% - dplyr::filter(!is.na(matchup_id)), + dplyr::filter(!is.na(.data$matchup_id)), by = "matchup_id" ) %>% dplyr::filter(.data$franchise_id != .data$opponent_id) %>% diff --git a/dev/rebuild_test_cache.R b/dev/rebuild_test_cache.R new file mode 100644 index 00000000..06dfc6a9 --- /dev/null +++ b/dev/rebuild_test_cache.R @@ -0,0 +1,27 @@ +# Rebuild test cache + +library(httptest) + +rebuild_test_cache <- function(cache_dir){ + + withr::with_envvar(c(MOCK_BYPASS = "true", CACHE_DIR = cache_dir),{ + + withr::with_dir( + cache_dir, + unlink(c("espn","flea","mfl","sleeper"), recursive = TRUE, force = TRUE) + ) + + httptest::start_capturing(path = cache_dir) + + on.exit(stop_capturing()) + + options(ffscrapr.cache = "none") + + testthat::test_local() + + }) +} + +cache_dir <- "/home/tan/dynastyprocess/ffscrapr-tests" +rebuild_test_cache(cache_dir) + diff --git a/man/dot-sleeper_matchup.Rd b/man/dot-sleeper_matchup.Rd index 80383329..4ab26fb8 100644 --- a/man/dot-sleeper_matchup.Rd +++ b/man/dot-sleeper_matchup.Rd @@ -2,11 +2,11 @@ % Please edit documentation in R/sleeper_schedule.R \name{.sleeper_matchup} \alias{.sleeper_matchup} -\title{individual sleeper matchup} +\title{Individual sleeper matchup} \usage{ .sleeper_matchup(week, conn, last_scored_week) } \description{ -individual sleeper matchup +Individual sleeper matchup } \keyword{internal} From 5e86dbc373e0a6bd46ba031347a5e2f6c8293633 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 12 Jun 2021 10:29:15 -0400 Subject: [PATCH 26/31] bump desc news --- DESCRIPTION | 4 ++-- NEWS.md | 5 +++-- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index ef673707..d8d5acff 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: ffscrapr Title: API Client for Fantasy Football League Platforms -Version: 1.4.2.06 +Version: 1.4.2.07 Authors@R: c(person(given = "Tan", family = "Ho", @@ -26,7 +26,7 @@ URL: https://ffscrapr.dynastyprocess.com, https://docs.sleeper.app, https://www.fleaflicker.com/api-docs/index.html, https://www.espn.com/fantasy/, - https://www.nflfastr.com/reference/load_player_stats.html + https://nflfastr.com/reference/load_player_stats.html BugReports: https://github.com/dynastyprocess/ffscrapr/issues Depends: R (>= 3.0.0) diff --git a/NEWS.md b/NEWS.md index d5b8bd72..7c696772 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -# ffscrapr (development version) +# ffscrapr 1.4.3 The main goal of v1.4.3 is to patch some minor bugs. @@ -6,11 +6,12 @@ The main goal of v1.4.3 is to patch some minor bugs. - `ff_league()` now has a column that returns the platform's season - this is most useful when running ff_league in batch. Thank you to @joeflan for the contribution! (Fixes #287) - Added helper script in dev/ for switching between test cache versions. +- Added helper script in dev/ for rebuilding test cache. - `ff_schedule()` for Sleeper now should extend into playoff weeks. (Fixes #289) - `ff_draft()` for Sleeper now has an auction_amount column if it is an auction draft. (Fixes #291) - `dp_cleannames()` now can flip names originally presented in LastName, FirstName order into First Last, and also has a custom name database to convert common alternate names to a unified one. - `nflfastr_stat_mapping` and `dp_name_mapping` are namespaced within the package, so that they can be used internally and externally a little more robustly. -- Rebuilt test cache +- Rebuilt test cache in ffscrapr-tests. --- From 36bc824f6b03541caf721276f14580a621d272a5 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 12 Jun 2021 10:29:32 -0400 Subject: [PATCH 27/31] rerun cleaning --- R/1_import_dp.R | 2 +- data-raw/mismatches.csv | 1 + data/dp_name_mapping.rda | Bin 1459 -> 1482 bytes 3 files changed, 2 insertions(+), 1 deletion(-) diff --git a/R/1_import_dp.R b/R/1_import_dp.R index 78a19227..56c4b957 100644 --- a/R/1_import_dp.R +++ b/R/1_import_dp.R @@ -97,7 +97,7 @@ dp_playerids <- function() { #' #' @export -dp_cleannames <- function(player_name, lowercase = FALSE, convert_lastfirst = FALSE, use_name_database = TRUE) { +dp_cleannames <- function(player_name, lowercase = FALSE, convert_lastfirst = TRUE, use_name_database = TRUE) { checkmate::assert_character(player_name) checkmate::assert_flag(lowercase) checkmate::assert_flag(convert_lastfirst) diff --git a/data-raw/mismatches.csv b/data-raw/mismatches.csv index de16f995..42708b21 100644 --- a/data-raw/mismatches.csv +++ b/data-raw/mismatches.csv @@ -34,6 +34,7 @@ Elerson Smith,Elerson G. Smith Ezekiel Elliott,Zeke Elliott Ezekiel Turner,Zeke Turner Folorunso Fatukasi,Foley Fatukasi +Foyesade Oluokun, Foye Oluokun Gary Jennings,Gary Jennings Jr HaHa Clinton-Dix,Hasean Clinton-Dix HaHa Clinton-Dix,HaSean Clinton-Dix diff --git a/data/dp_name_mapping.rda b/data/dp_name_mapping.rda index b9a3cb39565eb6c440910f89a6b8a835b0a7d018..4f609df9ff33da4545e4a6723d9a34af6fdf4927 100644 GIT binary patch literal 1482 zcmV;*1vUCYT4*^jL0KkKSxi5H!h=fB=J2(xX6V&<2A*8X5oqXaE2?rba_12x!7!jWlS)4Kie4 z03ejn0SS;zG@d0rG|fRYX*Bc(kYFdKQ_+c`G5~@5R1iD|5A^9r2s!`=_m9VY`_}m# zGGF#Igq*X^98dax?|CoOR!YuJsJeSz=z=w6Y#jEIA~LxiexwhE1er*cDH4mVQ$Jbdaj#k%unit#g zg4+v__&>F=83b{RU1!MIwT}t8*l>n+1aoX$@$OY*`SDjAErxOvnRw~Q!>J=WaTP4A zsH!AcVE8QVS~E%SM|D`OYEqR?V1cO)Qf^)JhH56Gxw$d11xXZuNE-jg;rn3N=Ix@h zl5;7_S0-+xpkj{ZsV55`T=1eH9PD3=u9+~>o6lCcur;(2MUyosC4tOIHI}wadnLa zLTR^-cn&eN_qa&@3YgrGOpL_M{t(YSa1}gJ+(9K{T|GhSD?r_jYYU*JJA;=czB=D*csS3Qf4D(P6pC=?l+E66d>{? zD8df#=yo<(o`UCxDlu^9x`&`gGpOq6OxEU`?QtSShRt_sjX8_Tc8GBkWN;i2@gf0x zG%SSdE^5JPnb&ZzRCGnY9Y3@X~d@mqNf4m3-a@~5T|>KkF=aW)(WD0%zD=7(xA zIhumy%59Ovk=|-H1k-dpC?gTf%|Pwm7@ucR+>wdfQ?wy{mxjGMx{k`ozJ36h@>WW4a)O zY*~&&D56jjLXkv}#6&n-$g?COqh+P1_4%{iK%pwzIc6vslaha^m)c@lRx#Ki3|u!w4wpoCOLW@Er9P)jSM?wMrf!iE|u8|B&N zOXcr~?K2>G7cG(O5$P7QEI6BsaXN7G4S}ZenKZ6DI3Y3{sP&r&AS5=-LQL~_l*vfY kU83@eWgcZ9eR9`om=%+kVj6>KVR8Q#az!{$kWYcUKmC=V*8l(j literal 1459 zcmV;k1x)%vT4*^jL0KkKSsu^3B>)5Se}Mi!{y;zj5CA{_|M0*6|L_0-UahCd>H9{-oQ ze5i6layH{4DJtxuFWZ-xuF)kDRC^(GS-sF$fdvjB;A}zN`PvMaOS-Um+nIig82=_TEWJ+VKzwo-j~E2*Wy( z5<~8jAixutcTdo5a#WIuce}3R<~2j8YO2iL+z`8IPz%WAm()$17{S%|-V8pti!~ zJ|A7qJ^=a#neJsUNu`q$nm8*-pvMw>ig6^?X6BnhP}z)&!rS?9K}@9S<6)OOl`CS< z&W_mOtca9YRZBIkVj{@03{n|LbuPL!0pU&5p}2u!q%b56f1kVk;MnNxsaeT6l;tav zH&ReBM{_wR2{;otE1E59uC9*m^(6y&l$K@*95oC&&FUCSV-7b$85&_-IIbd(JJ&Qo z9SkrySez7nN=j1Bk9~YlIB8qiz-))X+`>UaQV$nua5RX7<_yx$%4=A$8@sp!yN&ac z3F2Q*IL3-`$--?@Xyknj^C5`%)Pu-}ggDF&V>6%k=cdC2qH2MC4}q}LUa>Oaw~INU z0&uZ1a7xF+pe7t#p46jU*hg6R(*%-A>6o@nsgj~5LF}lwRwgZM!&KNoE<3v5Cp12C0gmsWfSl3TbdWy(UE5s1$XDB0xbb@9`O6#AP;GhvBpvc^C zFZUH5$Jp^REx#e&h`BSj&V5b+rGtGYVm6fZ8%g81-Z?~2gUFPl2s;C~@-|qV<491-9|0`}@Gg${AW$@7pya|hn2 z@}V=2OpewSZD4q4 zFD)b&#-c6_L`pJkyt2fjn#zZ?ib&%yb6Ldp9mjc)yu0GNI@_vV&fZ}$DYF`&cu~WBbjv3;6fo4NZJ2)XS8*%G3kU&UpZXqUlyUJvwY8Ozuf;kH0FuLoma5qaFdJ87QuzU~r NyOJrwgn;&a*(g_9jXwYY From d89bbc913945ee39effa88ac85639e336362c2ab Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 12 Jun 2021 10:40:33 -0400 Subject: [PATCH 28/31] hardcode test cache --- dev/switch_test_cache.R | 2 +- tests/testthat/setup.R | 6 +++--- tests/testthat/test-ff_scoringhistory.R | 4 ++-- vignettes/espn_basics.Rmd | 6 +++--- vignettes/espn_getendpoint.Rmd | 6 +++--- vignettes/fleaflicker_basics.Rmd | 6 +++--- vignettes/fleaflicker_getendpoint.Rmd | 6 +++--- vignettes/mfl_basics.Rmd | 6 +++--- vignettes/mfl_getendpoint.Rmd | 6 +++--- vignettes/sleeper_basics.Rmd | 6 +++--- vignettes/sleeper_getendpoint.Rmd | 6 +++--- 11 files changed, 30 insertions(+), 30 deletions(-) diff --git a/dev/switch_test_cache.R b/dev/switch_test_cache.R index defc9267..cf2b2201 100644 --- a/dev/switch_test_cache.R +++ b/dev/switch_test_cache.R @@ -35,4 +35,4 @@ use_ffscrapr_tests_version <- function(version){ invisible() } -# use_ffscrapr_tests_version('1.4.2') +# use_ffscrapr_tests_version('1.4.3') diff --git a/tests/testthat/setup.R b/tests/testthat/setup.R index 6c31d7ec..be3155cc 100644 --- a/tests/testthat/setup.R +++ b/tests/testthat/setup.R @@ -15,13 +15,13 @@ skip <- FALSE if (download_mock) { tryCatch( expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip", "f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.3.zip", "f.zip") unzip("f.zip", exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-main") + httptest::.mockPaths(new = "ffscrapr-tests-1.4.3") withr::defer( - unlink(c("ffscrapr-tests-main", "f.zip"), recursive = TRUE, force = TRUE), + unlink(c("ffscrapr-tests-1.4.3", "f.zip"), recursive = TRUE, force = TRUE), testthat::teardown_env() ) }, diff --git a/tests/testthat/test-ff_scoringhistory.R b/tests/testthat/test-ff_scoringhistory.R index 2aae334c..cd2f8e1d 100644 --- a/tests/testthat/test-ff_scoringhistory.R +++ b/tests/testthat/test-ff_scoringhistory.R @@ -4,9 +4,9 @@ with_mock_api({ if (!identical(Sys.getenv("MOCK_BYPASS"), "true")) { testthat::local_mock( - nflfastr_weekly = function() readRDS("ffscrapr-tests-main/gh_nflfastr/player_stats.rds"), + nflfastr_weekly = function() readRDS("ffscrapr-tests-1.4.3/gh_nflfastr/player_stats.rds"), nflfastr_rosters = function(seasons) { - purrr::map_df(seasons, ~ readRDS(glue::glue("ffscrapr-tests-main/gh_nflfastr/roster_{.x}.rds"))) + purrr::map_df(seasons, ~ readRDS(glue::glue("ffscrapr-tests-1.4.3/gh_nflfastr/roster_{.x}.rds"))) } ) } diff --git a/vignettes/espn_basics.Rmd b/vignettes/espn_basics.Rmd index b9ac2b8e..b79fc255 100644 --- a/vignettes/espn_basics.Rmd +++ b/vignettes/espn_basics.Rmd @@ -22,10 +22,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.3.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-main")}, + httptest::.mockPaths(new = "ffscrapr-tests-1.4.3")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -160,6 +160,6 @@ In this vignette, I've used only a few functions: ff_connect, ff_league, ff_rost ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-1.4.3","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/espn_getendpoint.Rmd b/vignettes/espn_getendpoint.Rmd index e6e2683d..3fa4a42b 100644 --- a/vignettes/espn_getendpoint.Rmd +++ b/vignettes/espn_getendpoint.Rmd @@ -22,10 +22,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.3.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-main")}, + httptest::.mockPaths(new = "ffscrapr-tests-1.4.3")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -155,5 +155,5 @@ Many of the API endpoints are being researched in other languages and you might ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-1.4.3","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/fleaflicker_basics.Rmd b/vignettes/fleaflicker_basics.Rmd index 6ce096c8..3561e246 100644 --- a/vignettes/fleaflicker_basics.Rmd +++ b/vignettes/fleaflicker_basics.Rmd @@ -23,10 +23,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.3.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-main")}, + httptest::.mockPaths(new = "ffscrapr-tests-1.4.3")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -162,6 +162,6 @@ In this vignette, I've used only a few functions: ff_connect, ff_league, ff_rost ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-1.4.3","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/fleaflicker_getendpoint.Rmd b/vignettes/fleaflicker_getendpoint.Rmd index dcaad922..4d26c48f 100644 --- a/vignettes/fleaflicker_getendpoint.Rmd +++ b/vignettes/fleaflicker_getendpoint.Rmd @@ -22,10 +22,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.3.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-main")}, + httptest::.mockPaths(new = "ffscrapr-tests-1.4.3")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -123,6 +123,6 @@ From here, you can keep unravelling - including the "viewingActualPoints" and "v ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-1.4.3","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/mfl_basics.Rmd b/vignettes/mfl_basics.Rmd index 0b8a93b7..b90e531d 100644 --- a/vignettes/mfl_basics.Rmd +++ b/vignettes/mfl_basics.Rmd @@ -22,10 +22,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.3.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-main")}, + httptest::.mockPaths(new = "ffscrapr-tests-1.4.3")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -157,6 +157,6 @@ Now that you've gotten this far, why not check out some of the other possibiliti ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-1.4.3","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/mfl_getendpoint.Rmd b/vignettes/mfl_getendpoint.Rmd index bf107eb0..458a3db7 100644 --- a/vignettes/mfl_getendpoint.Rmd +++ b/vignettes/mfl_getendpoint.Rmd @@ -22,10 +22,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.3.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-main")}, + httptest::.mockPaths(new = "ffscrapr-tests-1.4.3")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -105,5 +105,5 @@ head(fog_tradebait) ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-1.4.3","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/sleeper_basics.Rmd b/vignettes/sleeper_basics.Rmd index 5fcbdafe..2ef4c09f 100644 --- a/vignettes/sleeper_basics.Rmd +++ b/vignettes/sleeper_basics.Rmd @@ -23,10 +23,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.3.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-main")}, + httptest::.mockPaths(new = "ffscrapr-tests-1.4.3")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -167,6 +167,6 @@ In this vignette, I've used ~three functions: ff_connect, ff_league, and ff_rost ```{r include = FALSE} httptest::stop_mocking() -unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-1.4.3","f.zip"), recursive = TRUE, force = TRUE) ``` diff --git a/vignettes/sleeper_getendpoint.Rmd b/vignettes/sleeper_getendpoint.Rmd index ec8b0c67..f69b6643 100644 --- a/vignettes/sleeper_getendpoint.Rmd +++ b/vignettes/sleeper_getendpoint.Rmd @@ -22,10 +22,10 @@ eval <- TRUE tryCatch(expr = { - download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/main.zip","f.zip") + download.file("https://github.com/dynastyprocess/ffscrapr-tests/archive/1.4.3.zip","f.zip") unzip('f.zip', exdir = ".") - httptest::.mockPaths(new = "ffscrapr-tests-main")}, + httptest::.mockPaths(new = "ffscrapr-tests-1.4.3")}, warning = function(e) eval <<- FALSE, error = function(e) eval <<- FALSE) @@ -95,6 +95,6 @@ There - this means something to us now! As of this writing (2020-11-10), Kalen B ```{r include = FALSE, eval = eval} httptest::stop_mocking() -unlink(c("ffscrapr-tests-main","f.zip"), recursive = TRUE, force = TRUE) +unlink(c("ffscrapr-tests-1.4.3","f.zip"), recursive = TRUE, force = TRUE) ``` From e6088a8dc5797c47277aa0c9b43539b2e13c045d Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 12 Jun 2021 10:41:11 -0400 Subject: [PATCH 29/31] redocument --- NEWS.md | 2 +- README.Rmd | 4 ++-- README.md | 22 +++++++++++----------- cran-comments.md | 6 +++--- man/dp_cleannames.Rd | 2 +- man/ff_scoringhistory.Rd | 2 +- man/ffscrapr-package.Rd | 2 +- man/nflfastr_rosters.Rd | 2 +- man/nflfastr_weekly.Rd | 2 +- 9 files changed, 22 insertions(+), 22 deletions(-) diff --git a/NEWS.md b/NEWS.md index 7c696772..cffd91d2 100644 --- a/NEWS.md +++ b/NEWS.md @@ -174,7 +174,7 @@ Here is a list of new functions available at the top level (ie for all platforms Almost all functions now have Sleeper methods - implemented in what hopes to be relatively familiar manner to MFL. Outlining the specifics of what ***isn't*** the same: - `sleeper_userleagues()` is a wrapper on `ff_userleagues()` that makes it easier to look up user leagues without first creating a connection object. -- `ff_playerscores()` is not available for Sleeper because Sleeper removed the player stats endpoint - it will generate a warning (rather than an error). Thinking about creating some functions to calculate scoring based on [nflfastr](https://www.nflfastr.com). +- `ff_playerscores()` is not available for Sleeper because Sleeper removed the player stats endpoint - it will generate a warning (rather than an error). Thinking about creating some functions to calculate scoring based on [nflfastr](https://nflfastr.com/). - `sleeper_getendpoint()` is a little more simple than MFL's equivalent - just pass a string url (minus api.sleeper.app/v1) or pass in chunks of code, the function will automatically paste them together with "/". - Added generic and method for `ff_userleagues()` - Sleeper league IDs are more annoying than MFL to handle, so the more intuitive way is to look up the user's league_ids by username first. MFL does have a parallel feature even if used for different purposes. - Added two vignettes, showing "Getting Started" as well as one for custom API calls diff --git a/README.Rmd b/README.Rmd index a241fd02..bb74977e 100644 --- a/README.Rmd +++ b/README.Rmd @@ -53,13 +53,13 @@ Helps access various Fantasy Football APIs (currently MFL, Sleeper, Fleaflicker, ### Installation -Version 1.4.2 is now on CRAN :tada: and can be installed with: +Version 1.4.3 is now on CRAN :tada: and can be installed with: ```{r eval = FALSE} install.packages("ffscrapr") # or from GitHub release with the remotes package via: # install.packages("remotes") -remotes::install_github("dynastyprocess/ffscrapr", ref = "v1.4.2") +remotes::install_github("dynastyprocess/ffscrapr", ref = "v1.4.3") ``` Install the development version from GitHub with: diff --git a/README.md b/README.md index c9e92726..a1066d6a 100644 --- a/README.md +++ b/README.md @@ -32,13 +32,13 @@ other data sources. ### Installation -Version 1.4.2 is now on CRAN :tada: and can be installed with: +Version 1.4.3 is now on CRAN :tada: and can be installed with: ``` r install.packages("ffscrapr") # or from GitHub release with the remotes package via: # install.packages("remotes") -remotes::install_github("dynastyprocess/ffscrapr", ref = "v1.4.2") +remotes::install_github("dynastyprocess/ffscrapr", ref = "v1.4.3") ``` Install the development version from GitHub with: @@ -94,15 +94,15 @@ ff_rosters(ssb) # Get transactions ff_transactions(ssb) -#> # A tibble: 152 x 12 -#> timestamp type type_desc franchise_id franchise_name -#> -#> 1 2020-07-09 17:25:20 FREE_AGENT dropped 0004 Team Ice Climbers -#> 2 2020-07-09 17:25:20 FREE_AGENT dropped 0004 Team Ice Climbers -#> 3 2020-06-16 01:56:49 TAXI promoted 0014 Team Luigi -#> 4 2020-06-16 01:56:49 TAXI demoted 0014 Team Luigi -#> 5 2020-06-12 23:51:44 FREE_AGENT dropped 0010 Team Yoshi -#> # ... with 147 more rows, and 7 more variables: player_id , +#> # A tibble: 1,145 x 12 +#> timestamp type type_desc franchise_id franchise_name +#> +#> 1 2021-02-12 14:32:39 TRADE traded_away 0008 Team Bowser +#> 2 2021-02-12 14:32:39 TRADE traded_for 0008 Team Bowser +#> 3 2021-02-12 14:32:39 TRADE traded_for 0008 Team Bowser +#> 4 2021-02-12 14:32:39 TRADE traded_for 0008 Team Bowser +#> 5 2021-02-12 14:32:39 TRADE traded_for 0008 Team Bowser +#> # ... with 1,140 more rows, and 7 more variables: player_id , #> # player_name , pos , team , bbid_spent , #> # trade_partner , comments ``` diff --git a/cran-comments.md b/cran-comments.md index c6e80d1c..12ac7086 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -3,9 +3,9 @@ This release patches some bugs. ## Test environments -* local (Windows) R installation, R 4.0.5 -* ubuntu 20.04 (on GitHub Actions), R 4.0.5 -* MacOS (on GitHub Actions), R 4.0.5 +* local (Windows) R installation, R 4.1.0 +* ubuntu 20.04 (on GitHub Actions), R 4.1.0 +* MacOS (on GitHub Actions), R 4.1.0 * win-builder (devel) ## R CMD check results diff --git a/man/dp_cleannames.Rd b/man/dp_cleannames.Rd index 69935fa3..bc660895 100644 --- a/man/dp_cleannames.Rd +++ b/man/dp_cleannames.Rd @@ -7,7 +7,7 @@ dp_cleannames( player_name, lowercase = FALSE, - convert_lastfirst = FALSE, + convert_lastfirst = TRUE, use_name_database = TRUE ) } diff --git a/man/ff_scoringhistory.Rd b/man/ff_scoringhistory.Rd index a7f31bc7..3e87d7a5 100644 --- a/man/ff_scoringhistory.Rd +++ b/man/ff_scoringhistory.Rd @@ -68,5 +68,5 @@ ff_scoringhistory(conn, season = 2020) } \seealso{ -\url{https://www.nflfastr.com/reference/load_player_stats.html} +\url{https://nflfastr.com/reference/load_player_stats.html} } diff --git a/man/ffscrapr-package.Rd b/man/ffscrapr-package.Rd index ba840230..ad33d68e 100644 --- a/man/ffscrapr-package.Rd +++ b/man/ffscrapr-package.Rd @@ -20,7 +20,7 @@ Useful links: \item \url{https://docs.sleeper.app} \item \url{https://www.fleaflicker.com/api-docs/index.html} \item \url{https://www.espn.com/fantasy/} - \item \url{https://www.nflfastr.com/reference/load_player_stats.html} + \item \url{https://nflfastr.com/reference/load_player_stats.html} \item Report bugs at \url{https://github.com/dynastyprocess/ffscrapr/issues} } diff --git a/man/nflfastr_rosters.Rd b/man/nflfastr_rosters.Rd index 0fedde7a..b396ada5 100644 --- a/man/nflfastr_rosters.Rd +++ b/man/nflfastr_rosters.Rd @@ -27,5 +27,5 @@ nflfastr_rosters(seasons = 2019:2020) } \seealso{ -\url{https://www.nflfastr.com/reference/fast_scraper_roster.html} +\url{https://nflfastr.com/reference/fast_scraper_roster.html} } diff --git a/man/nflfastr_weekly.Rd b/man/nflfastr_weekly.Rd index abe3cfbf..fb4d4eec 100644 --- a/man/nflfastr_weekly.Rd +++ b/man/nflfastr_weekly.Rd @@ -30,5 +30,5 @@ nflfastr_weekly() } \seealso{ -\url{https://www.nflfastr.com/reference/load_player_stats.html} +\url{https://nflfastr.com/reference/load_player_stats.html} } From b710b31e384df252d1f6e879eb9e821693267a44 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 12 Jun 2021 10:47:16 -0400 Subject: [PATCH 30/31] bump version --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index d8d5acff..b3dd106d 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Type: Package Package: ffscrapr Title: API Client for Fantasy Football League Platforms -Version: 1.4.2.07 +Version: 1.4.3 Authors@R: c(person(given = "Tan", family = "Ho", From c128a79b1f1cdcca0881eb882504a64c481ee6c7 Mon Sep 17 00:00:00 2001 From: Tan-DeskPC Date: Sat, 12 Jun 2021 10:58:21 -0400 Subject: [PATCH 31/31] ci skip - add favicons --- pkgdown/favicon/apple-touch-icon-120x120.png | Bin 7100 -> 6969 bytes pkgdown/favicon/apple-touch-icon-152x152.png | Bin 9362 -> 9044 bytes pkgdown/favicon/apple-touch-icon-180x180.png | Bin 11245 -> 10803 bytes pkgdown/favicon/apple-touch-icon-60x60.png | Bin 3038 -> 2974 bytes pkgdown/favicon/apple-touch-icon-76x76.png | Bin 3833 -> 3785 bytes pkgdown/favicon/apple-touch-icon.png | Bin 11245 -> 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        • -
        - - - - -
        - -
        -
        -
        -

        Connect to Fleaflicker League

        - Source: R/flea_connect.R - -
        - -
        -

        This function creates a connection object which stores parameters and a user ID if available.

        -
        - - 
        fleaflicker_connect(
-  season = NULL,
-  league_id = NULL,
-  user_email = NULL,
-  user_agent = NULL,
-  rate_limit = TRUE,
-  rate_limit_number = NULL,
-  rate_limit_seconds = NULL,
-  ...
-)
        - -

        Arguments

        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        season

        Season to access on Fleaflicker - if missing, will guess based on system date (current year if March or later, otherwise previous year)

        league_id

        League ID

        user_email

        Optional - attempts to get user's user ID by email

        user_agent

        User agent to self-identify (optional)

        rate_limit

        TRUE by default - turn off rate limiting with FALSE

        rate_limit_number

        number of calls per rate_limit_seconds, suggested is under 1000 calls per 60 seconds

        rate_limit_seconds

        number of seconds as denominator for rate_limit

        ...

        other arguments (for other methods, for R compat)

        - -

        Value

        - -

        a list that stores Fleaflicker connection objects

        - -
        - -
        - - - -