Links

This notebook gives links to online sources related to R and Python and statistics with complete online examples..

Online Tutorials (R and Python)

An Introduction to R: The official guidance from The Comprehensive R Archive Network (CRAN). May not be always the most compelling introduction but exhaustive at least.
Quick-R: Really good source of R examples for almost all operations (manipulation, representation, functions, syntax, stats, figures, etc.).
R tutorials: Another fairly clear collection of tutorials.
RStudio online learning pages: R Studio is fancy and great visual GUI on top of the R for all platforms and they have released very useful documentations, tutorials, demos, etc.
Advanced R: Author of the best packages, Hadley Wickham, has created this resource (book and online version).

Practical Regression and Anova using R: A handbook of the basic statistical operations written by Julian Faraway.
Data Analysis and Graphics Using R - An Example-Based Approach: Handbook in 3rd printing, written by John Maindonald and John Braun. This source contains exercises, slides, the scripts for all graphs of the book, etc.

R blogger: Multipurpose source for news and latest issues in R.
Collection of Resources at CRAN: Large collection of different resources (e.g. R for Matlab-minded, Fitting Distributions with R, Reference Cards, Data-mining with R, and so on).
R Documentation: Searchable online documentation
StackOverflow: Forum of questions and answers about computer programming, including R. Contains over 120,000 questions related to R.