Introduction to R and statistics: Suppl. Material
- Tutorials/manuals/reference cards/cheat sheets
- A tutorial/manual maintained by the R-core team; "Introduction to R". Also available as html file from the R-project site.
- Another tutorial. Simpler but less detailed than the previous one.
- Two reference cards, or cheat-sheets; a shorter one, and a longer one.
- Background reading
The courses will not be based on any particular book. However, the
following books provide introductions for the different courses.
- Michael J. Crawley: Statistics. An introduction using R. Wiley.
- Peter Dalgaard: Introductory statistics with R. Springer.
- E Wit & J McClure: Statistics for microarrays. Wiley.
- Installing R and editors:
- binaries are available from this mirror:
binaries see this
TinnR is a really useful editor for windows which can talk to R, do syntax highlighting, etc. For proper installation of TinnR see points I.1 and II.5 in this guide.
- binaries are available from the same mirror. The Mac version of R has a decent built-in editor.
- same mirror for
binaries. Binaries are compiled for debian, redhat, suse, and ubuntu
platforms. For editors consider vi with
together with ESS.
Rstudio is a relatively new IDE (integrated development environment), including an editor, and other helpful programming tools, with binaries for all major platforms. See the Rstudio website for more info.
- Bioconductor packages
- Please install Bioconductor plus some additional packages following these instructions.
last modified: 28/07/2011