• Help With Installation (If You Need It)
• Quick and Dirty R  A plain text tutorial for the impatient.
• An R Function Reference  Alphabetical by function name, with simple examples.
• An R Function Finder  Alphabetical by procedure (plain text).

A Demonstration (for those who just want to see what R is).

• Work-Along Demonstration of R

These tutorials should be done first and in order.

1. Preliminaries
2. R Objects
3. Doing Arithmetic in R
4. Simple Data Entry and Description
5. Data Frames
6. Saving and Loading R Objects

These tutorials can be done in any order after completing those above.

• More Descriptive Statistics
• Describing Data Graphically
• Probability Distributions, Quantiles, Checks for Normality
• Counts and Proportions
• Chi Square Goodness of Fit Test
• Chi Square Test of Independence
• Log Linear Analysis
• Single Sample t Test and Alternatives
• Independent Samples t Test and Alternatives
• Related Measures (Dependent/Matched Samples) t Test and Alternatives
• Oneway Between Subjects ANOVA
• Multiple Comparisons, Contrasts, and Post Hoc Tests - new
• Factorial Between Subjects ANOVA
• What to Do With Unbalanced Factorial Designs - new
• Single-Factor Repeated Measures ANOVA
• Higher Order ANOVAs with Repeated Measures Factors - new
• Blocking, Split Plots, and Latin Squares - new
• Simple Linear Correlation and Regression
• Simple Nonlinear Correlation and Regression
• Multiple Regression
• Multiple Regression with Interactions - new
• Hierarchical Regression - new
• Analysis of Covariance - new
• Simple Mediation Analysis - new
• Simple Path Analysis - new
• Logistic Regression
• Resampling Techniques
• More Graphics (Which Is To Say, More and Fancier Graphics)

Other stuff.

• About The Data Sets Used In These Tutorials - new
• Writing Your Own Functions and Scripts
• Model Formulae
• Package Management
• Making R Work For You (Instead of Against You) - new
• References and Resources

Useful external links.

• R Project Website
• Contributed Documentation at the R Website
• A Long List of Book On or Using R
• Quick-R Tutorials (for SAS/SPSS/Stata Users)

If you find errors and wish to report them, or if you wish to make suggestions, or if you just wish to heap praise or scorn upon the author, I can be reached at

Unfortunately, and gratifyingly, the volume of mail that has been generated by these tutorials has prevented me from answering general questions about R or statistics in most instances. If you have questions about R that I have not answered in these tutorials, I recommend one of the following R forums or resources:

• r-forge
• r-help
• nabble.com
• stack overflow
• cross validated (Not R specific.)
• r-search (Not a forum but a list of R-specific search engines.)
• r-statistics blog (Also not a forum but a good place to look for answers.)
• r-bloggers (Interesting contributed tutorials.)
• tutoRials (A list of R tutorials hosted at university websites.)
• quick-r (More tutorials, among the best I've seen).
• personality project (Using R in personality research.)
• R for psychology projects and questionnaires (Baron and Li.)