Learning and Using R at Stanford

International R Users Conference: June 27-30, 2016

user2016 conference logoWith the June 2016 useR Conference being hosted at Stanford, the Libraries are also planning several activities related to benefit the community of R users on campus with a special emphasis on those who have had limited exposure to R in their training.

UseR! Conference on Twitter

What is R?

R Logo

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.



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 r-stanford@lists.stanford.edu mailing list. You can contact the relevant Libraries staff via this list as well!

Software Carpentry workshop
Students at Software Carpentry workshop

The Value of R and Reproducible Research

Susan Holmes"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