R is a powerful open source environment for statistics and data science. RStudio (available as a free offering from Posit) is an integrated development environment that facilitates the use of R by students and instructors. An RStudio server is available for members of the Amherst community at r.amherst.edu.
A Student's Guide to R and RStudio (note that a Spanish language translation is available here)
Getting started with RStudio: logging in to the server
Getting started with RStudio: first steps in R
Getting started with RStudio: second steps in R
Getting started with RStudio: first steps with R Markdown
Getting started with RStudio: second steps with R Markdown
Getting started with RStudio: sample homework in markdown
Prezi presentation on R markdown
Getting started with RStudio: dealing with files
Getting started with RStudio: all about packages
Getting started with RStudio: other resources
Github and RStudio: getting started
Multiple regression interpretation and diagnostics (Galton dataset)
Minimal (1 page) guide to R for intro stats
Cheatsheets for R, data wrangling, markdown, and Shiny
Building precursors for data science in R
Intro Stats (De Veaux, Velleman, and Bock, fifth edition)
Using R for Data Management, Statistical Analysis, and Graphics (second edition)
Stats: Data and Models (fourth edition) examples in R
Changing monitor display in Webster 102
Users can mount their home folder (on the RStudio server) locally with the following instructions, which makes it a lot easier to move items back and forth, print them, etc.: https://www.amherst.edu/offices/it/knowledge_base/academic-resources/unix_servers/unix_network_space
In case of questions, during the semester there are drop-in statistics hours each weeknight (7-9pm) coordinated with the Moss Quantitative Center. These drop-in hours normally take place in Science Center E208.
Last updated August 6, 2023 by Nicholas Horton