A book on the practical aspects of R programming for computational biologists is underway. Keep track of this page as some of the chapter drafts will appear soon.


Snippets, cheatsheets, tutorials:

Making research software timeproof and experimentalist compatible. [PDF]

Converting a subfolder of a Git repository into a separate repository with preserved history. [PDF] [HTML]

Installation of R programming environment from its source code on Unix/Linux machines. [PDF] [HTML]

Upgrade R env./libraries (Mac OSX), without disrupting the existing CRAN and Bioconductor infrustructure. [PDF] [HTML]

Create circular distribution graphs in R, useful for angular data. [PDF] [HTML]

Random cheatsheet. [PDF]