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This page is intended for people who:
Are just starting
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Have a question or two about
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Want a quick refresher
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These materials have been collected from various places on our website and have been ordered so that you can, in step-by-step fashion, develop the skills needed to conduct common analyses in R.
Getting familiar with R
- Class notes: There is no point in waiting to take an introductory class on how to use R. Instead, we have notes of our introductory class that you can download and view.
- Learning modules: We have developed a set of web pages called learning modules which show you how to accomplish basic data management tasks in R, including how to get data into R, how to recode variable and how to subset data. The R code and the output produced are shown, as well as tips on things to look out for.
Recommended Books Introducing R
- An R and S-Plus Companion to Applied Regression by John Fox
- Data Analysis and Graphics Using R by John Maindonald and John Braun
- Linear Models with R by Julian J. Faraway
- Downloadable Books
- Practical Regression and ANOVA using R Julian J. Faraway
- Using R for Data Analysis and Graphics - Introduction, Examples and Commentary by John Maindonald
Getting familiar with the statistical procedures
- Textbook examples: We have examples from popular textbooks and worked them out using R. So if you are reading and see an example of the kind of analysis that you want to do, you can use the code we have for that example to use as a template.
- Stat books for loan: We have hundreds of books covering a wide variety of topics in statistics that you can borrow, usually for one week. This link takes you to our books that focus on R.
Going further
UCLA Researchers are invited to our Statistical Consulting Services
We recommend others to our list of Other Resources for Statistical Computing Help
These pages are Copyrighted (c) by UCLA Academic Technology Services