What is it? R is a free, open-source software environment for statistical computing, data management, and graphics. While it includes a simple code editor, it can be controlled through many other packages. The most popular way to run R is through RStudio, a free and open source program which includes a code editor, as well as debugging and visualization tools. R is very extensible and supports a wide range of analytic and visualization methods. However, its data usually must fit into your computer’s main memory, limiting the size of data sets it can analyze.
Where can I run it? Being open source, you can install R and RStudio, on any Linux, Mac or Windows computer. They are both also available on OIT’s Apps@UT server, and on the computers in the OIT public computer labs. There is no simultaneous user limit for their use. People with extreme computational requirements can also run R batch jobs on ISAAC.
How can I learn it? OIT offers workshops each semester and there are a set of two-minute tutorials at the “twotorials” web site. The main R website provides links to reference materials including FAQs, manuals, support “mailing lists”, and books.
Where can I get support? OIT offers Full Support for R and RStudio. OIT has in-depth knowledge of the packages listed here. The best web site to ask questions or look up answers regarding R programming is Stack Overflow. The best place to ask questions or look up answers regarding statistical analysis in R is Cross Validated. You can request assistance by calling the OIT HelpDesk at 865-974-9900.