R and RStudio
This guide is designed to provide information about R and RStudio, including access, learning opportunities, ways to get help, and how to access data.
Overview
This section contains links to a variety of resources for self-paced learning to get started using R programming for a variety of purposes. We also offer information about getting help, both from on-campus resources and digital ones.
Looking for help with R or RStudio in your classwork at the College? Book an appointment with Skye Myerson, Instructional Technologist for Quantitative Learning.
Free Online Books and Guides
There are many books and guides about R and RStudio available for free online. You can follow along with various exercises or try your hand at running the examples presented in these texts in the RStudio server or app.
- ModernDive, the website for accessing "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" by Chester Ismay and Albert Y. Kim
- R Packages by Hadley Wickham and Jennifer Bryan
- R Graphics Cookbook by Winston Chang
- An Introduction to R from the CRAN Network
Recommended Books for Data Science available in the Five Colleges
Introductory Books
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An Introduction to R by William N. Venables; David M. SmithPublication Date: 2018Written by the developers of R.
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Hands-on Programming with R, by Garrett GrolemundLink to book in library collection. Can request from Amherst College.
More Advanced Books
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Using R and RStudio for Data Management, Statistical Analysis and Graphics by Nicholas J. Horton; Ken KleinmanISBN: 9781482237368Publication Date: 2015-03-10Not suitable for learning R but among the best reference books for R. Available in library collection.
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Reproducible Research with R and R Studio, Second Edition by Christopher GandrudCall Number: Q180.55.S7 G36 2015ISBN: 9781498715379Publication Date: 2015-06-11Available in library collecton.
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The R Inferno by Patrick BurnsCall Number: QA276.45.R3 B876 2011ISBN: 9781471046520Publication Date: 01/12/2012Available in library collection.
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Data Computing: An introduction to Wrangling and Visualization with R by Daniel KaplanISBN: 9780983965848Introductory level, requires no prior knowledge. Available in the library collection.
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Statistical Modeling by Daniel T. KaplanISBN: 9780983965879Publication Date: 2011-01-01Available in the library collection.
- Last Updated: May 28, 2025 2:30 PM
- URL: https://guides.mtholyoke.edu/r
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Subjects: How-To Guides