Resources: Workshops, Consultations, Tutorials and more

R workshops Winter 2023

Consultation

• R Open Lab online:  Please sign up here for a slot.   
• Social Science Data and Software Consulting: more here
• Research Consulting please schedule here
  
• Stanford Library Data Services (online request for help)
• Department of Statistics Consulting Service 
• For help from the Stanford R community #r-support slack channel on the Stanford slack: stanford.enterprise.slack.com

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
• 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

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