R is a programing language which is particularly suited to statistical analysis. There is an official introduction online (or as a PDF file ). There are a number of add on libraries, the most prominent of which is the bioinformatics library BioConductor.

Local information to get you started with R:

• Installation instructions
• Introducing the R command line
• Getting Help
• Loading Data, with an introduction to the basic data types
• Manipulating Data including accessing elements of vectors and matrices.
• Data summary methods
• Plotting data:
  • Scatter plots and simple regression
  • Histograms etc
  • Box & Whisker plots etc
• Analysis of Variance (ANOVA)
• The Workspace & R Scripts, how to save your work for next time.
• Programming in R: for loops, while loops and functions.

Credits: Martin Edwards, Samuel Robson and Peter Cock

There are more graphical examples on Peter's R Programming Pages, and the R Graph Gallery website.

Also see this list of R and BioConductor resources at Warwick, and the Module Assignments.

The R Project

 

BioConductor