References

Online Books

Clicking on the covers will send you to the free online versions of each book

R for Data Science

Data visualization using R

Statistical Learning

Other books

• Advanced Data Analysis from an Elementary Point of View by Cosma Shalizi
• R for Statistical Learning by David Dalpiaz
• Broadening Your Statistical Horizons by Julie Legler and Paul Roback

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ggplot2-related references

• ggplot2 reference: The definitive ggplot2 featuring pages upon pages of examples for the various functions.
• ggplot2 cheatsheet

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Git and GitHub references

• Happy Git and GitHub for the useR by Jenny Bryan: By far the best introduction to using Git and GitHub with R and RStudio.

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R Markdown

• R Markdown: The Definitive Guide by Yihui Xie, J. J. Allaire, Garrett Grolemund

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Additional web references

• Meghan Hall’s Statistical Graphics & Visualization course website
• Exploring Baseball Data with R: Created and maintained by Jim Albert, this was one of my favorite resources as an undergrad. Covers a variety of topics in statistics and modeling, with code, all in the context of baseball.
• BayesComputeR: Collection of markdown documents by Jim Albert demonstrating Bayesian computations with R.
• Variance Explained: Data science blog maintained by David Robinson with various blog posts containing example R code, including a series of posts that evolved into a book on Empirical Bayes using baseball statistics.