Supplemental Resources for 431

Getting Better at R, RStudio and Quarto

• R Studio Educational Resources at https://education.rstudio.com/learn/
• Learn the tidyverse at https://www.tidyverse.org/learn/
  • The tidyverse style guide including styler
• easystats packages: https://easystats.github.io/easystats/index.html and then select the easystats package you’re interested in from the top right and select Articles or Reference.
• janitor: https://sfirke.github.io/janitor/index.html
• patchwork: https://patchwork.data-imaginist.com/
• rstanarm: https://mc-stan.org/rstanarm/
• MKinfer vignettes: https://cran.r-project.org/web/packages/MKinfer/vignettes/MKinfer.html

Also, see Appendix A of Dr. Love’s textbook.

Other R and Quarto references I recommend

• R Graphics Cookbook, 2nd Edition
• R for Data Science, 2nd Edition
  • Sections on Workflow: scripts and projects and getting help
• Posit’s Cheat Sheets
• Quarto main page, especially Get Started for R Studio and Guide
  • Also worth looking at R for Data Science’s chapters on Quarto and on Quarto formatting.
• R Colors (pdf)
• Introduction to Regression Methods for Public Health Using R by Ramzi W. Nahhas
• Rebecca Barter’s An introduction to Python for R Users has been helpful to some people making that transition, or the opposite one. The RStudio IDE is a free and open-source IDE for Python, as well as R. You can write scripts, import modules, and interactively use Python within the RStudio IDE.