resources.qmd

# Resources {-}

Learning R can be quite the journey.
This is why I am collecting useful links to more resources on this extra page.
Some will help you understand the topics covered, some dive deeper and some will be interesting if you want to discover more cool things you can do with R.

## Learning the tidyverse

- [R for Data Science](https://r4ds.had.co.nz/) [@wickhamDataScienceImport2017]
- [The ggplot2 book](https://ggplot2-book.org/index.html)
- [R4DS online Community](https://www.rfordatasci.com/)
- [RStudio Cheat Sheets!](https://www.rstudio.com/resources/cheatsheets/)
- [The Modern Dive](https://moderndive.com/) [@kimStatisticalInferenceData2019]
- [RStudio Education](https://education.rstudio.com/)

## Learning Quarto

- [quarto website](https://quarto.org)
- [markdown syntax reference](https://quarto.org/docs/authoring/markdown-basics.html)
- [pandoc manual (advanced)](https://pandoc.org/MANUAL.html#pandocs-markdown)

## Learning R in general

- [Advanced R](https://adv-r.hadley.nz/) [@wickhamAdvancedSecondEdition2019]
- [Hands on Programming with R](https://rstudio-education.github.io/hopr/) [@grolemundHandsOnProgrammingWrite2014]
- [R Packages](http://r-pkgs.had.co.nz/) [@wickhamPackagesOrganizeTest2015]
- [Data Visualization: A Practical Introduction](https://socviz.co/index.html) [@healyDataVisualizationPractical2018]
- [Graph Cookbook](http://www.cookbook-r.com/Graphs/) [@changGraphicsCookbookPractical2013]

## Learning Statistics

- [Intuitive Biostatistics](http://www.intuitivebiostatistics.com/) [@motulskyIntuitiveBiostatisticsNonmathematical2017]
- [Statistics Done Wrong](https://www.statisticsdonewrong.com/) [@reinhartStatisticsDoneWrong2015]
- [StatQuest!!! with Josh Starner](https://statquest.org/video-index/#statistics)
- [Modern Statistics for Modern Biology](https://www.huber.embl.de/msmb/index.html)

## Helpful tools

- [Generate ggplots via graphical user interface with esquisee](https://github.com/dreamRs/esquisse)

## Talks, Podcasts, Blogs, Videos

Just some of the people with inspiring blogposts, videos and the likes.

- David Robinson
  - [YouTube](https://www.youtube.com/user/safe4democracy)
  - [website](http://varianceexplained.org/)
- Julia Silge
  - [YouTube](https://www.youtube.com/c/JuliaSilge/)
  - [website](https://juliasilge.com/)
- Alison Hill
  - [website](https://alison.rbind.io/)
- Thomas Lin Pedersen
  - [website](https://www.data-imaginist.com/)

## Misc

- [Cute and insightful illustrations](https://github.com/allisonhorst/stats-illustrations) [@ArtworkAllisonHorst]
- [Happy Git with R](https://happygitwithr.com/)

## Package Documentation

- [tidyverse](https://www.tidyverse.org/)
- [tidymodels](https://www.tidymodels.org/)
- [rmarkdown](https://rmarkdown.rstudio.com/docs/)
- [readr](https://readr.tidyverse.org/)
- [dplyr](https://dplyr.tidyverse.org/)
- [ggplot](https://ggplot2.tidyverse.org/)
- [tidyr](https://tidyr.tidyverse.org/)
- [stringr](https://stringr.tidyverse.org/)
- [purrr](https://purrr.tidyverse.org/)
- [ragg](https://ragg.r-lib.org/)

## Books and Manuals

- [Tidymodels book](https://www.tmwr.org/)
- [ggplot book](https://ggplot2-book.org/)

## Getting Help

- [How to find help](https://www.tidyverse.org/help/#reprex)
- [R4DS online learning community](https://www.rfordatasci.com/)

## Lists of Resources

The meta section. This is a list of lists:

- [big book of R](https://www.bigbookofr.com/)
- [r for the rest of us](https://rfortherestofus.com/resources/)

## Packages that enable this lecture format

- R [@rcoreteamLanguageEnvironmentStatistical2020a]
- Quarto [@quarto]
- knitr [@knitr]
- rmarkdown [@rmarkdown]
- xaringan [@xieXaringanPresentationNinja2020]