Learning and Using R at Stanford
Academic Year 2017-18
Come to the R Open Lab Wednesdays from 3-5pm at the Social Sciences Resource Center (SSRC), in the Velma Denning Room, Green Library to get help to install R or RStudio, to learn how and where to get started with R, to work though an R tutorial, to find someone to troubleshoot an error you keep getting and can’t figure out why, to exchange the latest R news, to show off a really cool R project you are working on and more. Bring your questions, your laptop, or both. R Open Labs will resume September 27, 2017.
If you are interested in taking a class with R, check our updated list of Stanford classes that use and teach R.
Stay tuned for announcements here on this website and on the r mailing list for upcoming workshops.
Join the Stanford R Community
Stanford Libraries is working to build a robust community of R users at Stanford to better support campus research and teaching involving this open source software package. While some R expertise resides within the Libraries, we know that far more expertise resides within the R users on Stanford's campus. We are working to bring this community together, be it beginners or advanced programmers, to help each other with the kinds of questions and problems that are the realm of Stanford research.
On these pages you will find ways to get involved in the R community at Stanford, as well as detailed information about resources from the Libraries, including workshops, consulting, online help guides, finding data to use in your analyses, and managing and preserving your research projects.
The best way to get started with the Stanford R community is to join the email@example.com mailing list. You can contact the relevant Libraries staff via this list as well!
The Value of R and Reproducible Research
"I believe that reproducible research is as important as data archives and open access repositories. Stanford University Libraries has been a dedicated supporter of archives and repositories, and I think it is really important for them to also facilitate reproducible research. R is the main tool for doing reproducible research in the data sciences. Recent papers I have published in PNAS and PLOS have had an enormous impact because of the reproducibility of the analyses done in R. I think that Stanford should continue to lead the way in supporting R and help users benefit from this enormous library of free packages that it constitutes.”
- Susan Holmes, Professor of Statistics and member of BioX, Stanford University
What is R?
R is a free software environment for statistical computing and graphics which compiles and runs on a wide variety of computer platforms. It has become increasingly popular among researchers in many academic disciplines. R is the most widely used tool for reproducible research, enabling open access reproducible science.