The software used for this course is the R statistical computing environment. You can find out about the project here and you can get access to the local software archive (CRAN) here.

You may find the following documents useful.

An Introduction to R: Gives an introduction to the
language and how to use R for carrying out statistical data
analysis and producing graphics.

The R language definition: Documents the language *per
se*. That is, the objects that it works on, and the
details of the expression evaluation process, which are useful
to know when programming R functions.

Writing R Extensions: Covers how to create your own
packages, write R help files, and the foreign language (C,
C++, Fortran, . . .).

R Data Import/Export: Describes the import and export
facilities available either in R itself or via packages which
are available from CRAN.

R Installation and Administration: This small manual will
help you to install R and its associated libraries on your own
machine.

The R Reference Index: Contains all help files of the R
standard packages in printable form.

A Trellis User's Manual: This is
the manual for a commercial Trellis implementation, but
corresponds well to the R version.

The colorspace library.

The dtrace library.

The rgl library.