Resources
There are huge number of R resources and websites available online. Included below are links to some R resources which we like. Please let us know if there are more that should be included!
Books
Here you will find a variety of R-related books, most with both online and print versions.
Learning R
- R 4 Data Science (2e) - Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund.
- R Programming for Research - Brooke Anderson, Rachel Severson, and Nicholas Good
- Data wrangling, exploration, and analysis with R - Jenny Bryan
Statistics with R
- An Introduction to Statistical Learning with Applications in R (2e) - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- Statistical Inference via Data Science: A ModernDive into R and the Tidyverse! - Chester Ismay and Albert Y. Kim
- Tidy Modeling with R - Max Kuhn and Julia Silge
- Applied Statistics Using R: A Guide for the Social Sciences - Matthias Mittner @ UiT (print only)
- Innføring i R for statistiske dataanalyser - Matthias Mittner @ UiT (print only)
- Introduction to Modern Statistics - Statistics textbook written using Quarto in RStudio (source code on github)
- Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R - Paul Roback and Julie Legler
R Resources:
Data Science Learning Community - tools and resources for data science, including R and Python.
TidyTuesday - Weekly real-world dataset analyzed by the community
RStudio Education: Finding your way to R
- A Gentle Introduction to Tidy Statistics in R - 1 hour video webinar by Thomas Mock
R Cheatsheets - Printable double-sided PDFs summarizing various topics and packages.
Awesome R - A curated list of awesome R packages and tools.
Posit Recipes - A collection of R code snippets and instructions featuring up-to-date best practices for coding in R.
Interactive Tutorials
For these sites, the introductory courses are usually free, while more advanced courses require payment.