InfoGuides: Software for Digital Scholarship: R

The R Project for Statistical Computing is a free, open source statistical computing language that is popular among researchers in many fields.

The learning curve for true understanding is steep, but specific tasks (e.g., importing files from other statistical software) are often quite easy because of packages that can be created by anybody. R undergoes rapid development and improvement. Tutorials even a year old may be out of date.

Note that RStudio is currently in the process of changing names to Posit. Various tutorials may reference one or the other, but both are acceptable at this time.

Access to R & RStudio

FREE to install on personal computers
Available in all ITS Labs and the DiSC Lab
On the Virtual Computing Lab

R Infoguide

Learn R Infoguide: Table of Contents

Overview
General Tutorials
Statistical Analysis - See materials for teaching and learning statistics with R
Data Management - Go here for packages and tutorials on preparing data
Graphics - R excels at making graphics, see the many options and galleries
R Programming - Links for programmers who want to know R well
Good Practices
Get Help - Need more help? See your options