Here is a list of FREE R tutorials hosted in official website of universities around the world. The tutorials are listed in no particular order, actually based on when I have discovered it. They will be categorised soon. Please kindly suggest me other university-hosted online R tutorials by email to me@pairach.com.

## A list of R tutorials, which are not hosted in the webpages of academic institutes can be found here.

**University of Oxford**Modern Applied Statistics with S, 4edn (On-line material)[url]

by W. N. Venables and B. D. Ripley**University of California at Davis**

Getting Started with the R Data Analysis Package [url]

by Norm Matloff**Clarkson University**

R Tutorial [url]by Kelly Black

**York University**

Getting started with R [url]**University of Waterloo**

R Tutorial For Windows and Unix Environment [url]**University of California at Los Angles, UCLA**

Resources to help you learn and use R [url]**University of California at Riverside**

Programming in R [url]**University of Illinois**

A Brief Introduction to R [url]**University of Texas at Austin**

R Tutorial Videos [url]by Brandon K. Vaughn

**University of California at Berkeley**

An Introduction to R (pdf)

by Phil Spector**Chiang Mai University**

Econometrics with R (in Thai) [url]

by Pairach Piboonrungroj**University of California at Santa Babara**

R Programming Resource Centre [url]

by National Center for Ecological Analysis and Synthesis**University of Carnegie Mellon**

A Tutorial: Some Fundamentals of R [url]

by Bruce E. Trumbo**University of Illinois State**

R Tutorial [url]

by Dong-Yun Kim**University of MacMaster**

Introduction to the R Statistical Computing Environment [url]

by John Fox.**University of Princeton**

Introducing R [url]

by Germán Rodríguez**University of Amsterdam**

How to draw graphs with R (Graphics) [url]

by Angelos-Miltiadis Krypotos**University of North Texas**

Do it yourself – Introduction to R (Intro) [url]**University of Warwick**

R programming page [url]

(Biosciences: Molecular Organisation and Assembly in Cells)

by Peter Cock.**University of Illinois at Urbana-Champaign**

R tutorial for Applied Econometrics [url]

by Prof. Roger Koenker

**Coastal Carolina University**

R tutorials (General) [url]

by William B. King**University of Colorado Denver**

R Tutorial (General)[url]

by Stephanie Santorico and Mark Shin**Stanford School of Medicine (Biomedical Informatics)**

R Tutorial (VDO on Introduction + Translational Bioinformatics (url)**Harding University**

Producing Simple Graphs with R (basic graphic e.g., line, bar, hist, line) (url)

by Frank McCown**University of Kentucky, Department of Statistics**

Use Software R to do Survival Analysis and Simulation [pdf]

by Mai Zhou**University of Pittsburgh, Department of Statistics**

Time Series Analysis and Its Applications: With R Examples[url]

by R.H. Shumway & D.S. Stoffer**University of Toronto**

R Tutorial (for Ecology) [url]

by the Cadotte Lab**Florida State University**

Use R for Climate research [url]

by James B. Elsner & Thomas H. Jagger**University of Washington**

Introduction to R [url]

by Jinyoung Kim**Lancaster University**(UK)

R tutorial [url]

by Joe Whittaker**University of Georgia Athens**A short R tutorial [pdf]

by Steven M. Holland**University of Twente**

R tutorials [url]

(more than 1o tutorials about R in pdf + data & code)

by D G Rossiter**Vrijie University Amsterdam, Netherlands**

Handleiding R (in Dutch) [pdf]

by A.W. van der Vaart**University of Wisconsin-Madison**

Introduction to R [url]

by Karl W Broman**City University of New York**

simpleR Using R for Introductory Statistics [url]

by John Verzani**Pomona College**

An R tutorial [pdf]

by Jo Hardin**University of Alaska Fairbanks**

Using R [url]

by the Biology & Wildlife Department computer**University of Bath**

Practical Regression and Anova using R [pdf]

Julian J. Faraway**University of Goettingen**

Time Series Analysis with R – Part I [pdf]

by Walter Zucchini and Oleg Nenadíc

Statistical Analysis with R – a quick start – [pdf]

by Oleg Nenadíc and Walter Zucchini**University of Washington, Department of Economics**Working with Time Series Data in R [pdf]

by Eric Zivot**University of Liège, Faculty of Engineering**

Using R for Linear regression [pdf, 9 pages]

by Kristel Van Steen**University of Cambridge**

Local tips for R [url] – in both statistics & graphics

by Rudolf Cardinal**Montana State University, Department of Mathematical Sciences**

Introduction to Sweave (R+LaTeX) [url]

by Jim Robison-Cox**Stanford University**

Social Network Analysis in R [url] including source R files and outputs

by McFarland, Daniel A., Solomon Messing, Michael Nowak and Sean J. Westwood.**Ludwig-Maximilians-University Munich**(Germany)

Sweave (R + LaTeX) [url] including manuals and example files

by Friedrich Leisch**Ecole Polytechnique Fédérale de Lausanne**

Sweave = R • LaTeX^2 (pdf, slides)

by Nicola Sartori**University of Auckland**

Four course on Statistical Computing and Graphics including document, R codes (pdf)

by Ross Ihaka**Nova Southeastern University**

Many R tutorials using Tegrity-based video tutorials (url)

by Thomas W. MacFarland**Penn State University**

– Introduction to R (get started) [url]

– Welcome to STAT 497C – Topics in R Statistical Language! [url]**Carnegie Mellon University**

Open & Free Course on Statistics (with applications in R among other software) [url]**Centre for Mathematical Sciences, Lund University**

Exception handling in R [url]

Object-oriented programming with references using S3/UseMethod [url]

by Henrik Bengtsson**University of Edinburgh**

Data Mining and Exploration (with examples with R) [url]

by Charles Sutton**University of Washington**

Survey analysis in R [url]

by Thomas Lumley**Department of Psychology, University of Pennsylvania**

Notes on the use of R for psychology experiments and questionnaires [url]

by Jonathan Baron and Yuelin Li**College of Staten Island, Department of Mathematics**simpleR: Using R for Introductory Statistics [url]

By John Verzani**Vanderbilt University**

rApache Manual [url]**University of Aarhus, Department of Computer Science – Daimi, Faculty of Science**

RPy — R from Python [url]**University of Auckland**

Many documents and links about R [url]

By Paul Murrell**National Institute of Genetics (Japan)**

R Graphical Manual [url]

By Osamu Ogasawara and IMS Lab Inc. Japan**Montana State University**

R Labs for Vegetation Ecologists [url]**University of Auckland**

Introduction to Data Technologies: Basic introduction to a number of computer technologies for working with data (HTML, XML, Databases, SQL, regular expressions, and R) [url]

by Paul Murrell**Department of Statistics and Actuarial Science, SFU**

Technical Notes on the R programming language [url]

by Sigal Blay**University of Vienna**

Stattconn Project [url]

by Thomas Baier and Erich Neuwirth**Gunma University (Japan)**

R による統計処理 [url]

by Shigenobu AOKI**Tsukuba Office, Agriculture, Forestry and Fisheries Research Council****Secretariat**

R Tips (in Japancese) [url]**University of Western Ontario, Department of Statistical & Actuarial Sciences**

Debugging in R [url]

by Duncan Murdoch**University of Sunderland**

Programming in R [url]

by Harry Erwin**Smith College, Department of Mathematics and Statistics**

Use of R as a toolbox for mathematical statistics exploration [url]

by Nicholas J. Horton, Elizabeth R.Brown and Linjuan Qian**Katholieke Universiteit Leuven**

R and Statistics [url]

by Guido Wyseure**Iowa State University**

Introduction to R [url]

by Di Cook**Cambridge University**

Graph redesign in R [url]

by Stephen J. Murdoch**Trinity College Dublin**

R Podcasts [url]

by Andrew Jackson**University of Arizona**

Introduction to R [url]

by Caroline R.H. Wiley**Cambridge University**

ESS: Emacs Speak Statistics [url]

by Stephen Eglen**Columbia University**

Running WinBugs and OpenBugs from R [url]

Andrew Gelman**University of Bremen**

vim R plugin for Linux/Unix [url]

Johannes Ranke**Montana State University**

R Web: Statistical Analysis on the web. [url]

by Jeff Banfield**University of Florida**

R for Categorical data analysis [html]

by Brett D. Presnell**University of Auckland**

An S (and R) Programming Workshop in 2003 (including slides, data and codes) [html]

by The Quartet (affiliations at that moment)

(1) Bill Venables (CSIRO, Australia)

(2) Robert Gentleman (Harvard University)

(3) Ross Ihaka (University of Auckland)

(4) Paul Murrell (University of Auckland)**Australian National University , Mathematical Science Institute**

Data Analysis and Graphics Using R – An Example-Based Approach [url]

by John Maindonald and John Braun**The Hebrew University**

Introduction to Statistical Thinking (With R, Without Calculus) [pdf]

by Benjamin Yakir**Basel Institute for Clinical Epidemiology and Biostatistics**Tutorial: ggplot2 [pdf, 14 p.]

by Ramon Saccilotto, Universitätsspital Basel**UC, Davis: Bioinformatics**

Data Analysis and Visualization Course, 2012 (links to many sessions during two days of the course)

by Vince Buffalo, Joe Fass, Jie Peng and Dawei Lin**University of Warwick**

R useR! Conference 2011 (links to materials and documents of the tutorials, invited talks and presentations)

by Department of Statistics, University of Warwick**Vanderbilt University**

R useR! Conference 2012 (links to materials and documents of short courses, tutorials, invited talks and presentations)

by Department of Statistics, Vanderbilt University**Technische Universität Wien, Vienna, Austria**

useR! 2004: The 5th International R useRs Conference (links to materials of the conference)

DSC 1999: The 1st conference for the developers of statistical software and researchers in statistical computing

DSC 2001: The 2nd conference for the developers of statistical software and researchers in statistical computing

DSC 2003: The 3rd conference for the developers of statistical software and researchers in statistical computing

by Department of Statistics and Probability Theory,Technische Universität Wien**The University of Auckland**

DSC 2007: The 5th conference for the developers of statistical software and researchers in statistical computing

(Workshops, Program, papers and posters)

by Department of Statistics, The University of Auckland**University of Oxford**

APTS Computer-Intensive Statistics 2012 (html) – Lecture note, datasets and codes

by Prof. Brain Ripley**Simon Fraser University**

Technical Notes on the R programming language

by Sigal Blay**University of Florida**

Introducing Monte Carlo Methods with R (pdf)

by Christian P. Robert George Casella**University of Tennessee**

pbdR — Programming with Big Data in R (html)

Remote Data Analysis and Visulization Center**National Center for Ecological Analysis and Synthesis**

**The Regents of the University of California**

– Integrate C Language Functions into R With an R Package

– R: A self-learn tutorial**Ghent University**

Teaching materials (slides, codes and datasets) for using lavaan package for Structural Equation Modeling (link)

by Yves Rosseel**Calvin College**

Computational Statistics Using R and R Studio – An Introduction for Scientists (pdf)

by Randall Pruim**Department of Mathematical Sciences**

**Aalborg University, Denmark**

Graphical Models with R (pdf)

Soren Hojsgaard**Statistics Department**

**Carnegie Mellon University**

Writing R Functions (pdf)

by Cosma Shalizi**Institute for Environmental Sciences**

**University Koblenz-Landau**

Lecture “Applied Multivariate Statistics” 2011/2012 (url)

by Ralf Schäfer**University of Groningen, The Netherlands**

R Tutorial for Applied Statistics (URL)

by Anne Boomsma**University of Florida**

Tutorial on Making Simple R Packages (URL)**University of Göttingen – Georg-August-Universität Göttingen**

Time Series Analysis with R – Part I (PDF)

by Walter Zucchini, Oleg Nenadi´c**Harvard University**

Quick Introduction to Graphics in R Introduction to the R language (pdf)

by Aedin Culhane**University of Pennsylvania**

R Study Group (General guide to R) (URL)

Josef Fruehwald