Other Resources
If you can’t find the answers you’re looking for in our tutorials or elsewhere on our site, check out these external resources. If you’re still stuck, feel free to reach out to dperez@epi.org.
- R@Urban is a great resource from the Urban Institute. This site covers analysis, visualization, mapping, and more.
R for Data Science by Garrett Grolemund and Hadley Wickham
- R for Data Science is a popular book that covers many basic concepts in R, aimed specifically at beginners.
- This Github repository contains a list of R tutorials and packages for Data Science, NLP and Machine Learning. It also serves as a reference guide for several common data analysis tasks (though most are minimally annotated).
- This ebook provides an introduction to causal inference using a range of modeling techniques and coding instructions for both R and Stata.
- This book focuses explicitly on causal inference in R and is aimed at intermediate coders. The preface outlines what level of comfort with R the reader should have before using this book.