Peter's R Programming Pages
These pages are no longer being updated; If you have any queries please contact Peter via his alumni email address or Google Mail
R is a language and environment for statistical computing and graphics, available for free from . It is very similar to the S language and its commercial derivative, .
I helped write an introduction to R for MOAC's CH923 Bioinformatics module.
I've also put together my own a small collection of worked examples, where possible with sample graphics:
![[Pairs Plot]](/fac/sci/moac/people/students/peter_cock/r/iris_plots/thumb_iris.png?maxWidth=160&maxHeight=160 "Pairs Plots")
![[Linear Models]](/fac/sci/moac/people/students/peter_cock/r/iris_lm/thumb_iris_lm.png?maxWidth=160&maxHeight=160 "Pairs Plots")
![[Netwrok Graph]](/fac/sci/moac/people/students/peter_cock/r/rgraphviz/thumb_graph.png?maxWidth=160&maxHeight=160 "Network graphs")
![[Ramachandran Plot]](/fac/sci/moac/people/students/peter_cock/r/matrix_contour/thumb_contour.png?maxWidth=160&maxHeight=160 "Contour plots for Matrix data")
![[Ramachandran Plot]](/fac/sci/moac/people/students/peter_cock/r/ramachandran/thumb_rama.png?maxWidth=160&maxHeight=160 "Ramachandran Diagrams")
![[GEO microarray data]](/fac/sci/moac/people/students/peter_cock/r/geo/thumb_geo.png?maxWidth=160&maxHeight=160 "GEO Microarray Data")
![[Heatmap]](/fac/sci/moac/people/students/peter_cock/r/heatmap/thumb_heatmap.png?maxWidth=160&maxHeight=160 "Heatmaps")
![[3D Histogram using RGL and R-Project]](/fac/sci/moac/people/students/peter_cock/r/3d_bar_chart/thumb_3d_bar_chart.png?maxWidth=160&maxHeight=160 "3D Bar Charts and Histograms")
![[R and Python Logos]](/fac/sci/moac/people/students/peter_cock/r/rpy/thumb_rpy.png?maxWidth=160&maxHeight=160 "R and Python")
In addition to the examples above, you might be interested in:
- Density Profiles and Contour Plots from Scatter Plots (under construction)
- MOAC CH923 2005/06 Assignment - R/Bioconductor for microarray data analysis.
Other Resources
- Beginners should print out the
- (Frequently Asked Questions on R).
- There is rather terse online () with no pictures at all.
- Have a look at this for good idea of the sort of images R can create.
- Some people at HRI have started an , including live online demos.
- Another potentially interesting set of examples is .
- Lecture notes from an ().
P.S. If you are working with microarray data then you should really look at the package, a set of freely available biologically useful statistical tools.