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:
windows:
binaries are available from this mirror: in Utrecht. For 64-bit binaries see this link.
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.
Mac:
binaries are available from the same mirror. The Mac version of R has a decent built-in editor.
Linux:
same mirror for binaries. Binaries are compiled for debian, redhat, suse, and ubuntu platforms. For editors consider vi with vim-r-plugin2, or emacs together with ESS.
More detailed information on installing R on various platforms is available from the official R Installation and Administration manual.

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