R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (examples include linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, and clustering) and graphical techniques, and is highly extensible.
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 the creation of publication-quality plots.
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.
There is one user executable program called R.
To start an interactive session a terminal window, type:
scc1% module load R/4.0.2 scc1% R
To start RStudio:
scc1% module load rstudio scc1% module load R/4.0.2 scc1% rstudio
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
You can exit R by typing:
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 number of additional materials are available on the R Project website.