R is an implementation of the S programming language and is a powerful software environment for statistical computing and graphics. It has a large user community which provides support and develops various R libraries for specialized analysis.

Where can I use R on Campus?

If you want staff on hand to assist you with R, come to the Research Applications and Methods Center during our regular hours. If you have a complex problem, please contact us by phone (202-885-3862) or email to set-up an appointment, otherwise, just drop in!

R can be accessed in the following campus computer labs:

Virtual Computing Lab
Anderson Computing Cluster

R is also available for use on AU’s High Performance Cluster. This requires special permissions to use.

How can I get R on my computer?

R is accessible for free on the website.

RStudio, an easy-to-use open-source environment of R programming, is accessible for free as well as on their website.

What Resources can I access online?

Introduction to R (handout)

The R Project

RStudio Official Webpage

UCLA Institute for Digital Research and Education 

Quick-R: Assessing the Power of R

Lynda.com (AU subscribed software support resource)

What Workshops do you offer?

CTRL offers a variety of workshops each semester to train members of the AU community in the software that it supports. Examples of workshops we have offered in the past can be seen below, and you can follow the link to view our current schedule. If you are interested receiving training that is not listed in our regular workshop schedule, please contact us by email to request an appointment.

Introduction to R: Designed for first time and very-new users, this workshop teaches how to use the basic building blocks of an R program, loading and exporting data, data management and data operations, basic commands for descriptive statistics, basic graphing commands, loading external command libraries, and running a linear regression.

Intermediate R: This workshop will explore intermediate topics in using R for statistical analyses, including by recoding variables, running in depth descriptive statistics, creating univariate and bivariate graphs and plots, and running bivariate and multivariate regression analysis.

Schedule of Workshops  |  Request a New Workshop  |  Registration

How can I get support using R for research or for class?

  • In-Class Tutorials (standard or custom tailored, request)