BOL

R/parallel – speeding up bioinformatics analysis with R http://www.biomedcentral.com/1471-2105/9/390

R tutorial stuff at http://math.illinoisstate.edu/dhkim/rstuff/rtutor.html

R for Bioinformatics http://www.evolution.unibas.ch/teaching/evol_genetics/1_Bioinformatics/lecture_notes/HS2013_9_R.pdf

APE: Analyses of Phylogenetics and Evolution in R language http://bioinformatics.oxfordjournals.org/content/20/2/289.abstract

Little Book of R for Bioinformatics by Avril Coghlan, Wellcome Trust Sanger Institute, Cambridge, U.K. http://a-little-book-of-r-for-bioinformatics.readthedocs.org/en/latest/

Sean Davis tutorial is really useful http://watson.nci.nih.gov/~sdavis/tutorials/

Resources to help you learn and use R http://www.ats.ucla.edu/stat/r/

Yet another useful R tutorial at http://www.nceas.ucsb.edu/files/scicomp/Dloads/RProgramming/BestFirstRTutorial.pdf

A web application framework for R. http://shiny.rstudio.com/ It turn your analyses into interactive web applications. No HTML, CSS, or JavaScript knowledge required :)

IDE for R http://www.rstudio.com/ide/ It is available in open source and commercial editions and runs on the desktop (Windows, Mac, and Linux) or over the web with RStudio Server.

Rattle: A Graphical User Interface for Data Mining using R http://rattle.togaware.com/

A self learning R tutorial at http://www.nceas.ucsb.edu/files/scicomp/Dloads/RProgramming/BestFirstRTutorial.pdf

Useful collection of an R "meta" book can be found at http://www.r-bloggers.com/an-r-meta-book/

SimpleR tutorials is very lucid and practical for general data analysis with R. http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf

Some of useful collection of R tutorial links are available at http://cran.r-project.org/other-docs.html

You can also find list of several online R tutorial around the world  at http://pairach.com/2012/02/26/r-tutorials-from-universities-around-the-world/

The illinois R tutorial http://math.illinoisstate.edu/dhkim/rstuff/rtutor.html The basic stats with R at http://ww2.coastal.edu/kingw/statistics/R-tutorials/

The R basic tutorial at http://www.cyclismo.org/tutorial/R/

R and BioConductor tutorial for beginners http://jura.wi.mit.edu/bio/education/R2011/

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