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Hurst Hall Room 202

Mon - Thur: 9:30 am - 8:30 pm
Fri: 9:30 am - 7 pm
Sat: Noon - 7 pm
Sun: Closed

4400 Massachusetts Avenue NW
Washington, DC 20016


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.


Campus Availability | Installation Options | Support | Workshops | Resources

Back to list of software.

Where can I use R on Campus?

If you want staff on hand to assist you with R, come to the CTRL lab 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:

  • CTRL lab
  • Anderson Computing Cluster
  • Kreeger
  • SPA Lab

R is also available for use on AU's High Performance Cluster. This requires special permissions to use. For more information, click here.

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.

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

  • One-on-one assistance (drop-in during regular hours, or schedule an appointment
  • In-Class Tutorials (standard or custom tailored, request)

What Workshops do you offer?

CTRL Lab 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.

To view the schedule of workshops, click here.

If you want to take a workshop that is not on our schedule, contact us, and we can arrange a one-on-one session.

For registration information, click here.

What Resources can I access online?

Introduction to R (handout, data)

Intermediate R (handout, data, code)

The R Project

RStudio Official Webpage 

UCLA Institute for Digital Research and Education 

Quick-R: Assessing the Power of R (AU subscribed software support resource) 



CTRL Lab Info

Fall & Spring Hours:
Mon - Thur: 9:30 am - 8:30 pm
Fri: 9:30 am - 7 pm
Sat: 12 pm - 7 pm
Sun: Closed

Summer & Winter Break Hours:
Mon - Fri: 9:30 am - 5:30 pm
Sat - Sun: Closed

Hurst Hall, Room 202

More Info

Contact a Consultant

For help with CTRL supported activities, visit the lab during business hours, call 202-885-3862, email For people who are traveling, we can arrange for support via Skype - contact us for more information.

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