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 (Wickham and Grolemund 2017)
• The ggplot2 book
• R4DS online Community
• RStudio Cheat Sheets!
• The Modern Dive (Kim 2019)
• RStudio Education

Learning Quarto

• quarto website
• markdown syntax reference
• pandoc manual (advanced)

Learning R in general

• Advanced R (Wickham 2019)
• Hands on Programming with R (Grolemund and Wickham 2014)
• R Packages (Wickham 2015)
• Data Visualization: A Practical Introduction (Healy 2018)
• Graph Cookbook (Chang 2013)

Learning Statistics

• Intuitive Biostatistics (Motulsky 2017)
• Statistics Done Wrong (Reinhart 2015)
• StatQuest!!! with Josh Starner
• Modern Statistics for Modern Biology

Helpful tools

• Generate ggplots via graphical user interface with esquisee

Talks, Podcasts, Blogs, Videos

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

• David Robinson
  • YouTube
  • website
• Julia Silge
  • YouTube
  • website
• Alison Hill
  • website
• Thomas Lin Pedersen
  • website

Misc

• Cute and insightful illustrations (Horst 2020)
• Happy Git with R

Package Documentation

• tidyverse
• tidymodels
• rmarkdown
• readr
• dplyr
• ggplot
• tidyr
• stringr
• purrr
• ragg

Books and Manuals

• Tidymodels book
• ggplot book

Getting Help

• How to find help
• R4DS online learning community

Lists of Resources

The meta section. This is a list of lists:

• big book of R
• r for the rest of us

Packages that enable this lecture format

• R (R Core Team 2020)
• Quarto (J. J. Allaire et al. 2022)
• knitr (Xie 2021)
• rmarkdown (J. Allaire et al. 2021)
• xaringan (Xie 2020)

Allaire, J. J., Charles Teague, Carlos Scheidegger, Yihui Xie, and Christophe Dervieux. 2022. “Quarto.” https://doi.org/10.5281/zenodo.5960048.

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2021. Rmarkdown: Dynamic Documents for r. https://CRAN.R-project.org/package=rmarkdown.

Chang, Winston. 2013. R Graphics Cookbook: Practical Recipes for Visualizing Data. 1 edition. Beijing Cambridge Farnham Köln Sebastopol Tokyo: O’Reilly Media.

Grolemund, Garrett, and Hadley Wickham. 2014. Hands-On Programming with R: Write Your Own Functions and Simulations. Sebastopol, CA: O’Reilly Media.

Healy, Kieran. 2018. Data Visualization: A Practical Introduction. 1 edition. Princeton, NJ: Princeton University Press.

Horst, Allison. 2020. “Artwork by @Allison_horst.” https://github.com/allisonhorst/stats-illustrations. https://github.com/allisonhorst/stats-illustrations.

Kim, Chester Ismay and Albert Y. 2019. Statistical Inference via Data Science. CRC Press.

Motulsky, Harvey. 2017. Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking. 4 edition. New York: Oxford University Press.

R Core Team. 2020. R: A Language and Environment for Statistical Computing. Manual. Vienna, Austria: R Foundation for Statistical Computing.

Reinhart, Alex. 2015. Statistics Done Wrong: The Woefully Complete Guide. 1 edition. San Francisco: No Starch Press.

Wickham, Hadley. 2015. R Packages: Organize, Test, Document, and Share Your Code. 1 edition. Sebastopol, CA: O’Reilly Media.

———. 2019. Advanced R, Second Edition. 2 edition. Boca Raton: Chapman and Hall/CRC.

Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1 edition. Sebastopol, CA: O’Reilly Media.

Xie, Yihui. 2020. Xaringan: Presentation Ninja. Manual.

———. 2021. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.