Where to start

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 
• Data wrangling, exploration, and analysis with R
• R Guide - best practices for collaboration on research projects
• Fundamentals of Data Visualization
• Software Development Resources for Data Scientists

Stanford provided online tutorials and help documents

• Urban Data Analytics in R (introduction) (advanced)
• R tutorial to work with Stanford Open Policing project data 
• Social Network Analysis for Anthropologists
• 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

Books and other library resources

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

R Style Guides

• Style Guide for R by Hadley Wickham
• Google's R Style Guide