Resources

Find a great resource that others might appreciate? Email Dr. Dowling to add to this list!

General

• Using GitHub with RStudio
  • Simplified version of the complete guide from “R for the Rest of Us” below
• Setting up RStudio
  • Covers the RStudio settings you are most likely to want to tweak
• STAT545
  • The course website for a similar (and much more comprehensive!) course originated at UBC by Jenny Bryan
• R for Graduate Students
  • A bookdown guide written by a PhD student with the grad student “true beginner” in mind

Documentation & References

Git & github

• Git
• How to Use Git/GitHub with R - Instructions for setting up your GitHub integration within R Studio, no GitHub Desktop required!
• Git user manual - Look here if you want to use Git in the terminal or command line
• Git cheat sheet
• An introduction to Git and how to use it with RStudio
• Happy Git and GitHub for the useR - A companion to STAT545 (see above)

R

• R for Data Science, second edition by Hadley Wickham
• Hands-On Programming with R by Garrett Grolemund
• User-contributed cheatsheets
• W3Schools R tutorial
• Learn-R
• Using R for psychological research - Personality Project

R Markdown

• R Markdown for Scientists by Nicholas Tierney
• R Markdown: The Definitive Guide by Yihui Xie, J. J. Allaire, and Garrett Grolemund
• papja
• R Markdown cheatsheet

Tidyverse and R Packages

• Tidyverse overview
• Tidyverse cheatsheets)

ggplot2 and Visualization

• ggplot2 overview
• ggplot2 cheatsheet
• ggplot2 Book
• R Graph Gallery

Transitioning to R

• Stata to R :: cheatsheet
• R for Stata Users (Muenchen & Hilbe)
• R for SAS & SPSS Users (Muenchen)
• From SPSS to R (Wolf)
• Switching from Matlab to R (Richards)
• R for MATLAB users (cheatsheet-ish)

Example datasets

Not all examples are suitable to use in this class!

• Find and use R’s built-in datasets
• Kaggle
• data.gov
• Google data

Essentials

• R
• R Studio
• GitHub
• GitHub Desktop
• R packages (install with the install.packages command)
  • tidyverse (suite of packages including dplyr and ggplot2)
  • papaja
  • knitr
  • bibtex
  • DescTools
  • Other useful packages:
    • data.table
    • ggpubr
    • ggsci
    • lme4
    • patchwork
    • psych
    • RColorBrewer
    • stats
    • vcd

*Note: If packages fail to install with the install.packages command, you can typically download them directly from the package’s github page with remotes::install_github("crsh/papaja"). Replace crsh/papaja with whatever follows “github.com/”.