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.
Recommended Books for Data Science available in the Five Colleges
Introductory Books
- An Introduction to R by William N. Venables; David M. SmithPublication Date: 2018Written by the developers of R.
- Hands-on Programming with R, by Garrett GrolemundLink to book in library collection. Can request from Amherst College.
More Advanced Books
- 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.
- 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.
- The R Inferno by Patrick BurnsCall Number: QA276.45.R3 B876 2011ISBN: 9781471046520Publication Date: 01/12/2012Available in library collection.
- Data Computing: An introduction to Wrangling and Visualization with R by Daniel KaplanISBN: 9780983965848Introductory level, requires no prior knowledge. Available in the library collection.
- Statistical Modeling by Daniel T. KaplanISBN: 9780983965879Publication Date: 2011-01-01Available in the library collection.
- Last Updated: Sep 12, 2024 11:22 AM
- URL: https://guides.mtholyoke.edu/r
- Print Page
Subjects: How-To Guides