Books University & Softwares

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SOFTWARES LIBRES (R Project y Tinn-R)

Manual Contributed Packages R

Currently, the CRAN package repository features 2181 available packages.

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Contributed Documentation

Spanish

• “R para Principiantes”, the Spanish version of “R for Beginners”, translated by Jorge A. Ahumada (PDF).
• A Spanish translation of “An Introduction to R” by Andrés González and Silvia González (PDF, Texinfo sources).
• “Gráficos Estadísticos con R” by Juan Carlos Correa and Nelfi González (PDF).
• “Cartas sobre Estadística de la Revista Argentina de Bioingeniería” by Marcelo R. Risk (PDF).
• “Introducción al uso y programación del sistema estadístico R” by Ramón Díaz-Uriarte, transparencies prepared for a 16-hours course on R, addressed mainly to biologists and bioinformaticians (PDF).
• “Generacion automatica de reportes con R y LaTeX” by Mario Alfonso Morales Rivera (PDF).

English

• “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).
• “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).
• “IcebreakeR” by Andrew Robinson (PDF, 2008-05-08).
• “Applied Statistics for Bioinformatics Using R” by Wim Krijnen (PDF, 2009-11-17, 278 pages).

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, 2009-06-05, 14 pages).
• “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).
• “Using R for Scientific Computing” by Karline Soetaert (ZIP): lecture notes and reference card for R beginners, including exercises.
• “A (Not So) Short Introduction to S4” by Christophe Genolini (PDF, 2009-01-07, 68 pages).
• “Creating R Packages: A Tutorial” by Friedrich Leisch (PDF, 2009-10-13, 19 pages).
• “Creating R Packages, Using CRAN, R-Forge, And Local R Archive Networks And Subversion (SVN) Repositories ” by Spencer Graves and Sundar Dorai-Raj (PDF, PPT, 2009-05-04, 45 slides).
• “Guide to Credit Scoring in R” by Dhruv Sharma (PDF, 2009-10-13, 45 pages).

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 ).