Computing
R Statistical Computing Package
We will be using the R statistical computing package in
this course. R is a freely available, open-source version of
S/S-plus. While most S/S-plus code will run in R, there are several
differences. Therefore, it is recommended that all computing for the
course be done in R.
No prior knowledge of R is required, although some experience with R
(or S-plus) will be helpful. Demonstrations of analyses in R will be
given during lecture, and example code will be provided for lecture
examples as well as with some homework assignments. In addition to
this example code, it is highly recommended that the R manual
and online help system be used as a supplement.
R is available in the Department of Statistics Student Computer
Laboratory, which is open only to Statistics students. R can also be
downloaded
to personal computers for no cost. Students who do not have access to
the computer lab and have difficulty accessing R should speak to
the instructor.
Students using R on their personal computers may want to download Tinn-R, an R code editor --
see the installation and configuration instructions (prepared by Dale Rhoda).
NOTE: You do not need
to use Tinn-R to edit R code; you can use Notepad, as well as other text
editors available in Windows.