Links

R Resources

R-Language

• Big Book of R compiled by Oscar Baruffa
• Advanced R by Hadley Wickham
• Advanced R Solutions by Malte Grosser, Henning Bumann, and Hadley Wickham
• R Packages by Hadley Wickham and Jenny Bryan
• R for the Rest of Us: A Statistics-Free Introduction by David Keyes
• Mastering Software Development in R by Roger Peng, Sean Kross, and Brooke Anderson
• Scaling Up with R and Arrow by Nic Crane, Jonathan Keane, and Neal Richardson
• What They Forgot to Teach You About R by Jenny Bryan, Jim Hester, Shannon Pileggi, and E. David Aja
• Rcpp for everyone by Masaki E. Tsuda

Data Viz with R

• ggplot2 by Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen
• Data Visualization: A Practical Introduction by Kieran Healy
• Modern Data Visualization with R by Robert Kabacoff

Stats with R

• R for Data Science by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund
• Modern R with the Tidyverse by Bruno Rodrigues
• Tidy Modeling with R by Max Kuhn and Julia Silge
• Data Analysis in R by Steve Midway
• Introduction to Econometrics with R by Christoph Hanck and others
• Modern Data Science with R by Benjamin Baumer, Daniel Kaplan, and Nicholas Horton

Reporting with R

• R Markdown: The Definitive Guide by Yihui Xie, JJ Allaire, and Garrett Grolemund
• Building reproducible analytical pipelines with R by Bruno Rodrigues

Quant UX & Survey Research with R

• R for Marketing Research and Analytics by Chris Chapman and Elea McDonnell Feit
• Exploring Complex Survey Data Analysis Using R by Stephanie Zimmer, Rebecca Powell, and Isabella Velasquez
• Quant UX Resources compiled by Carl Pearson