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Learning and Using R at Stanford

Learning and Using R at Stanford

Academic Year 2023-2024

R Open Lab continues via Zoom in Fall Quarter 2023. We provide help with R and welcome beginners. Please sign up here.

R Workshops this quarter are listed here.

You can find this quarter's Stanford courses that use R here.

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 r-stanford@lists.stanford.edu 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

 Also, see Susan Holme's interview with the Stanford News on reproducing scientific results in her research.