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Learning and Using R at Stanford

Tutorials and more

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
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

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
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

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