A data package which lists every command in base R packages since R version 0.50.
The latest R version covered is 4.5.0.
You can view the data online in a Shiny app.
From r-universe:
install.packages('rcheology', repos = c('https://hughjonesd.r-universe.dev',
'https://cloud.r-project.org'))From CRAN:
install.packages('rcheology')R versions are built using the evercran project.
Results are found from running ls(all.names = TRUE) on all installed
packages. For more details, see guest-list-objects.R.
The Rversions data frame lists versions of R and release dates.
- Install and start docker.
- Run
host-run-on-evercran.sh.
library(rcheology)
data("rcheology")
rcheology[rcheology$name == "kmeans" & rcheology$Rversion %in% c("1.0.1", "1.9.0", "2.1.0", "3.0.2", "3.2.0", "4.0.2"), ]
#> package name Rversion priority type exported hidden class
#> 351945 mva kmeans 1.0.1 <NA> closure TRUE FALSE <NA>
#> 403876 stats kmeans 1.9.0 base closure TRUE FALSE function
#> 403880 stats kmeans 2.1.0 base closure TRUE FALSE function
#> 403920 stats kmeans 3.0.2 base closure TRUE FALSE function
#> 403926 stats kmeans 3.2.0 base closure TRUE FALSE function
#> 403951 stats kmeans 4.0.2 base closure TRUE FALSE function
#> S4generic
#> 351945 FALSE
#> 403876 FALSE
#> 403880 FALSE
#> 403920 FALSE
#> 403926 FALSE
#> 403951 FALSE
#> args
#> 351945 (x, centers, iter.max = 10)
#> 403876 (x, centers, iter.max = 10)
#> 403880 (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"))
#> 403920 (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 403926 (x, centers, iter.max = 10L, nstart = 1L, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace = FALSE)
#> 403951 (x, centers, iter.max = 10L, nstart = 1L, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace = FALSE)Latest changes:
suppressPackageStartupMessages(library(dplyr))
r_penultimate <- sort(package_version(unique(rcheology::rcheology$Rversion)),
decreasing = TRUE)
r_penultimate <- r_penultimate[2]
r_latest_obj <- rcheology %>% dplyr::filter(Rversion == r_latest)
r_penult_obj <- rcheology %>% dplyr::filter(Rversion == r_penultimate)
r_introduced <- anti_join(r_latest_obj, r_penult_obj, by = c("package", "name"))
r_introduced
#> # A tibble: 26 × 10
#> package name Rversion priority type exported hidden class S4generic args
#> <chr> <chr> <chr> <chr> <chr> <lgl> <lgl> <chr> <lgl> <chr>
#> 1 base .set_… 4.5.0 base clos… TRUE TRUE func… FALSE "(x,…
#> 2 base grepv 4.5.0 base clos… TRUE FALSE func… FALSE "(pa…
#> 3 base summa… 4.5.0 base clos… TRUE FALSE func… FALSE "(ob…
#> 4 base zstdf… 4.5.0 base clos… TRUE FALSE func… FALSE "(de…
#> 5 datasets gait 4.5.0 base doub… FALSE FALSE array FALSE <NA>
#> 6 datasets pengu… 4.5.0 base list FALSE FALSE data… FALSE <NA>
#> 7 datasets pengu… 4.5.0 base list FALSE FALSE data… FALSE <NA>
#> 8 datasets sunsp… 4.5.0 base doub… FALSE FALSE ts FALSE <NA>
#> 9 methods .__T_… 4.5.0 base envi… TRUE TRUE envi… FALSE <NA>
#> 10 methods matri… 4.5.0 base clos… TRUE FALSE grou… TRUE "(x,…
#> # ℹ 16 more rowsBase functions over time:
library(ggplot2)
rvs <- rcheology$Rversion %>%
unique() %>%
as.package_version() %>%
sort() %>%
as.character()
major_rvs <- grep(".0$", rvs, value = TRUE)
major_rvs <- gsub("0.50", "0.50-a1", major_rvs)
major_rvs <- gsub("0.60", "0.60.0", major_rvs)
major_rv_dates <- Rversions$date[Rversions$Rversion %in% major_rvs]
major_rv_dates
#> [1] "1997-07-22" "1997-12-04" "1997-12-22" "1998-11-14" "1999-04-08"
#> [6] "1999-08-28" "1999-11-22" "2000-02-07" "2000-02-29" "2000-06-15"
#> [11] "2000-12-15" "2001-06-22" "2001-12-19" "2002-04-29" "2002-10-01"
#> [16] "2003-04-16" "2003-10-08" "2004-04-12" "2004-10-04" "2005-04-19"
#> [21] "2005-10-06" "2006-04-24" "2006-10-03" "2007-04-24" "2007-10-03"
#> [26] "2008-04-22" "2008-10-20" "2009-04-17" "2009-10-26" "2010-04-22"
#> [31] "2010-10-15" "2011-04-13" "2011-10-31" "2012-03-30" "2013-04-03"
#> [36] "2014-04-10" "2015-04-16" "2016-05-03" "2017-04-21" "2018-04-23"
#> [41] "2019-04-26" "2020-04-24" "2021-05-18" "2022-04-22" "2023-04-21"
#> [46] "2024-04-24" "2025-04-11"
major_rvs <- gsub("\\.0$", "", major_rvs)
rch_dates <- rcheology %>% left_join(Rversions, by = "Rversion")
ggplot(rch_dates, aes(date, group = package, fill = package), colour = NA) +
stat_count(geom = "area") +
theme(axis.text.x = element_text(angle = 45, hjust = 1, size = 8)) +
# ggthemes::scale_fill_gdocs() +
scale_x_date(breaks = major_rv_dates, labels = major_rvs) +
xlab("Version") + ylab("Function count") +
theme(legend.position = "top")
#> Warning: Removed 1615 rows containing non-finite outside the scale range
#> (`stat_count()`).
An alternative view:
ggplot(rch_dates, aes(date, fill = "orange")) +
stat_count(geom = "area") +
scale_x_date(breaks = major_rv_dates, labels = major_rvs) +
theme(axis.text.x = element_text(angle = 45, hjust = 1, size = 8)) +
xlab("Version") + ylab("Function count") +
facet_wrap(~package, scales = "free_y", ncol = 2) +
theme(legend.position = "none")
#> Warning: Removed 1615 rows containing non-finite outside the scale range
#> (`stat_count()`).