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
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