Some comments and notes to various R documentations.

**An Introduction to R**is based on the former "Notes on R", gives an introduction to the language and how to use R for doing statistical analysis and graphics. [browse HTML | download PDF ]

- A draft of
**The R language definition**documents the language*per se*. That is, the objects that it works on, and the details of the expression evaluation process, which are useful to know when programming R functions. [browse HTML | download PDF ]

**Writing R Extensions**covers how to create your own packages, write R help files, and the foreign language (C, C++, Fortran, ...) interfaces. [browse HTML | download PDF ]

**R Data Import/Export**describes the import and export facilities available either in R itself or via packages which are available from CRAN. [browse HTML | download PDF ]

**R Installation and Administration**[browse HTML | download PDF ]

**R Internals**: a guide to the internal structures of R and coding standards for the core team working on R itself. [browse HTML | download PDF ]

**The R Reference Index**: contains all help files of the R standard and recommended packages in printable form. [download PDF, 14MB]

**R FAQ**

**R Newsletter**

Documents with more than 100 pages:

**“Using R for Data Analysis and Graphics - Introduction, Examples and Commentary”**by John Maindonald (PDF, data sets and scripts are available at JM's homepage).

# good for R novices, because it introduces the basic knowledge in details; a little rough for graphics and statistical models. http://www.yihui.name/en/read.php/34.htm

**“Simple R”**by John Verzani (PDF, data sets, various PDF, PS and a browsable HTML version are available at the Simple R homepage).**“Practical Regression and Anova using R”**by Julian Faraway (PDF, data sets and scripts are available at the book homepage).- The
**Web Appendix**to the book “An R and S-PLUS Companion to Applied Regression” by John Fox contains information about using S (R and S-PLUS) to fit a variety of regression models. **“An Introduction to S and the Hmisc and Design Libraries”**by Carlos Alzola and Frank E. Harrell, especially of interest to SAS users, users of the Hmisc or Design packages, or R users interested in data manipulation, recoding, etc. (PDF)**“Statistical Computing and Graphics Course Notes”**by Frank E. Harrell, includes material on S, LaTeX, reproducible research, making good graphs, brief overview of computer languaes, etc. (PDF).**“An Introduction to R: Software for Statistical Modelling & Computing”**by Petra Kuhnert and Bill Venables (ZIP 3.8MB): A 360 page PDF document of lecture notes in combination with the data sets and R scripts used in the manuscript.**“Introduction to the R Project for Statistical Computing for Use at the ITC”**by David Rossiter (PDF).**“Analysis of Epidemiological Data Using R and Epicalc”**by Virasakdi Chongsuvivatwong (PDF).**“Statistics Using R with Biological Examples”**by Kim Seefeld and Ernst Linder (PDF).

Documents with fewer than 100 pages:

**“R for Beginners”**by Emmanuel Paradis (PDF).**“Kickstarting R (version 1.6)”**compiled by Jim Lemon, a short introduction in English as HTML files: download as gzipped TAR or ZIP; or browse directly.**“Notes on the use of R for psychology experiments and questionnaires”**by Jonathan Baron and Yuelin Li (PDF). A browsable version is available at JB's homepage.**“R for Windows Users (version 2.0)”**by Ko-Kang Wang (PDF, LaTeX source). Updates, a Postscript version and a browsable HTML version are available at KW's R Resources page.**“Building Microsoft Windows Versions of R and R packages under Intel Linux”**by Jun Yan and A. J. Rossini (PDF, associated Makefile).**“A Guide for the Unwilling S User”**by Patrick Burns (PDF).**“The R language — a short companion”**by Marc Vandemeulebroecke (PDF).**“Fitting Distributions with R”**by Vito Ricci (PDF).**“Econometrics in R”**by Grant Farnsworth (PDF | LaTeX source).**“The Friendly Beginners' R Course”**by Toby Marthews (ZIP, 2007-03-01).**“An R companion to ‘Experimental Design’ ”**by Vikneswaran (PDF).**“The R Guide”**(version 2.3) by Jason Owen (PDF, 2007-08-09).**“Multilevel Modeling in R”**by Paul Bliese (PDF), a brief introduction to R and the packages multilevel and nlme.**“Statistics with R and S-Plus”**by Hugo Quené (PDF).

Short Documents and Reference Cards:

**“R reference card”**by Jonathan Baron (PDF).**“R and Octave”**by Robin Hankin (Text), a reference sheet translating between the most common Octave (or Matlab) and R commands.- A
**“time series reference card”**(PDF) and a**“regression reference card”**(PDF) by Vito Ricci. **“R reference card”**by Tom Short ( PDF, LaTeX source ).

- Quick-R by Robert I. Kabacoff: http://www.statmethods.net

#I believe this is a very good web site for R novices; it has covered both basic and advanced knowledge for R computations and graphics.