The “R” Statistical Package
Dept. of Statistics
What is R?
R is a “freeware” version of the S or Splus
R is available on Windows, Mac, Unix and Linux.
R follows the “toolbox” philosophy – provide the
tools and components and let the users build the
Currently, R has lots of built-in “machines” (i.e.
statistical methods) and many developers
contributing free software – in particular,
genomics, proteomics and spatial software.
R vs SAS, Minitab and others
Strengths of R
• Good algorithms
• User community with listserv
• Very extensible – open source
• Excellent graphics
• Lots of contributed special purpose software
(e.g. bioinformatics, spatial statistics …)
Weaknesses of R
• Documentation is scattered
• User-contributed software can be idiosyncratic
• Very slow
• Poor memory management
Downloading R (www.r-project.org)
Click on the appropriate platform.
Download the .exe file. (Note that for some
packages you may want an older version.)
Run the .exe file from the start menu.
R is easy to:
The learning curve is long.
R is slow compared to platforms like Perl,