There are countless resources out there about R. Here are just a few pointers to get you started.

- An Introduction to Statistical and Data Sciences via RInteractive Tutorials for R
- LinkedIn Learning: R Training and Tutorials (Use this link for free access for Stanford Affiliates)
- R for Data Science
- Computing for the Social Sciences
- Reproducible Medical Research with R
- Data wrangling, exploration, and analysis with R
- R Guide - best practices for collaboration on research projects
- Fundamentals of Data Visualization
- A curated list of awesome R packages, frameworks and software
- Software Development Resources for Data Scientists

- Urban Data Analytics in R (introduction) (advanced)
- R tutorial to work with Stanford Open Policing project data
- Social Network Analysis for Anthropologists
- Introduction to social network visualization with R
- Making R code over 100 times faster: An example
- Materials from Spatial R Workshops
- Using SUL provided databases from R
- Datavisualization with R
- Using R with the Stanford Digital Repository
- Using R for Windows and Macintosh
- Social Network Analysis in R
- Using R/Deducer for Statistics and Graphics in Medicine
- Using R for Statistics and Graphics (SUNet ID required)
- Using R for Graphics Programming (SUNet ID required)
- Using R with Redcap: An Introduction to Secure Data Collection and Analysis (SUNet ID required)
- GIS in R
- R Tutorials
- Social Data Research Rally 2016 Session Notes: Shiny by RStudio, Big Data in R, R or Python
- Stanford International useR! conference 2016 videos

- R books available at the library
- Datasets available at the library
- Earthworks - a portal for finding geospatial data

- Last Updated: May 6, 2024 9:13 AM
- URL: https://guides.library.stanford.edu/r
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