R and related things
On this page you will find information concerning the open-source
statistical software R, source code, as well as datasets used in
class and by the book.
- R is installed in the Ryan Sayers/alamode lab (CH120). Login on one of the machines
and type `R' in a terminal. You are all set.
- To install on your personal computer, follow the instructions on
http://cran.us.r-project.org/.
- Short ref-cards are 4 pages and 1 page
- `StatsRus', a page full of R-tips
- Links to Manuals can be found on the main R
webpage. You might consider this html or
pdf version.
You are NOT encouraged to read the
manuals. The help in R and the comments in the scripts are
sufficient.
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