R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (examples include linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, and clustering) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
Highlights: Free statistical package. Allows for creation of publication-quality plots.


R version 2.15.3 is the default version installed on the Shared Computing Cluster (SCC). R is free software under the GNU project and is also available for Windows and MacOS systems for free. If you wish to use a more recent version of R on the SCC, you can do so using modules as explained here.

If you have installed packages of your own in an older version of R and need to use them in a new version, you will need to upgrade them.

Using R

There is one user executable program called R.

To start an interactive session, type:

scc1% R

Once started, you can see a list of demos by running the command demo() and run an individual command by doing demo(DEMO_NAME) where >DEMO_NAME is any of the demos listed after running demo()

You can exit R by typing:

> q()

Additional Help/Documentation

We have a R Frequently Asked Questions page that you may find very helpful. A number of R example scripts along with parallelization and optimization techniques and tutorial scripts can be found on our Online Code Examples webpage.

Links to manuals, information on downloading R, and a large amount of additional materials are available on the R Project website.

We also have a set of tutorials on R which we generally offer live three times a year but for which the slides are always available.