Big Books of Summer
Genres

R Programming


R Programming Books

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hands-On Programming with R: Write Your Own Functions and Simulations
R Graphics Cookbook: Practical Recipes for Visualizing Data
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Machine Learning with R
R Programming for Data Science
Dynamic Documents With R and Knitr
Report Writing for Data Science in R
Exploratory Data Analysis with R
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)
A Practical Guide to Data Analysis Using R: An Example-Based Approach
The Hitchhiker's Guide to Responsible Machine Learning
The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
Practical Data Science with R, Second Edition
Modern Time Series Analysis with R: Practical forecasting and impact estimation with tidy, reproducible workflows
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Quotes Tagged “R Programming”

Gary Sutton
“ Statistics Slam Dunk is a wonderful book to extend your data management and statistical skills with R, especially when you love sports! ”
― Gary Sutton, Statistics Slam Dunk
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