Contributed Documentation

Manuals, tutorials, etc. provided by users of R. The R core team does not take any responsibility for contents, but we appreciate the effort very much and encourage everybody to contribute to this list! All material below is available directly from CRAN, you may also want to look at the list of other R documentation available on the Internet.

Note:Please use the directory listing to sort by name, size or date (e.g., to see which documents have been updated latetly).

English Documents

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).

  • “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 StatisticalModelling & 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).

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).

  • “An R companion to ‘Experimental Design’ ” by Vikneswaran (PDF).

  • “The R Guide” by Jason Owen (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 ).


Non-English Documents

Chinese

Croatian

  • “Uvod u koristenje R-a” by Damir Kasum and Tarzan Legovic, a translation of the manual “An introduction to R” (PDF).
  • “Osnovne naredbe u R-u” by Damir Kasum, a quick reference card (PDF).

French

  • “R pour les débutants” by Emmanuel Paradis, the French version of “R for Beginners” (PDF).

  • “Introduction au système R” by Yves Brostaux, a short introduction bundled together with data sets used in the document. (ZIP, TGZ).
  • “Introduction à la programmation en S” by Vincent Goulet, an introduction to programming in S (PDF).

German

  • “Einführung in R” by Günther Sawitzki (PDF), lecture notes for a 4-5 day introductory course in programming in the S language for students with basic knowledge in probability theory. See also the StatLab Heidelberg S page for more information.

Hungarian

  • “R<-...erre, erre...! (Bevezetés az R-nyelv és környzet használatába)” by Norbert Solymosi (PDF).

Italian

  • “Il linguaggio R: concetti introduttivi ed esempi” (II edizione) by Vito M. R. Muggeo and Giancarlo Ferrara (PDF).

  • “Una guida all'utilizzo dell'ambiente statistico R” by Angelo M. Mineo, an introductory guide, based mainly on “An introduction to R”. (PDF, LaTeX source).

  • “Analisi delle serie storiche con R” by Vito Ricci (PDF).

  • “Rappresentazione analitica delle distribuzioni statistiche con R” by Vito Ricci (PDF).

  • “Matematica e grafica elementari con R” by Josef Eschgfäller (PDF).

  • “Formulario di Statistica con R” by Fabio Frascati (PDF).

  • “Programmazione in R” by Josef Eschgfäller, an introduction to R as a programming language (PDF).

Japanese

  • Japanese translations of the R manuals by Shigeru Mase:

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). See Ramón's R courses page for more information.

Polish

Portuguese

  • “Bioestatística usando R” by Colin Robert Beasley (PDF, Data).

The documents on this page are sorted by category and submission date, the order does not imply any recommendations. Please use the directory listing to sort by name, size or date.