Columbia Psychology Scientific Computing
  • Who We Are
  • Intro Workshop
  • Meetings
  • Tutorials
    Introductory R Tutorial Additional R Tutorials Introductory Python Tutorial Instructions for Accessing Files
  • Resources
  • License

Resources

Columbia-Specific Resources

  • Columbia Psychology scientific computing users Slack group

Full, Freestanding General-Use R Tutorials

Mainly base R tutorials

  • Cookbook for R: Basics of data cleaning, analysis and graphing

Tidyverse tutorials

  • Hadley Wickham’s R for Data Science online textbook
  • Michael C. Frank’s psychology-specific tidyverse tutorial, adapted from R for Data Science

Syllabi for courses taught in R

You can work along with these; course materials should be linked in the syllabi. - Karen LaRocque’s syllabus for Stanford’s undergrad intro to stats in psychology class, winter 2017

Various R Cheat Sheets

  • A very large list of cheatsheets, tutorials and books on R

Base R reference card for many different uses

Hadley Wickham’s intro to the tidy data framework

Graphing

  • GGplot Visualization Guide (with code)
  • Palette of all named colors that you can use in ggplot

Working with Version Control

  • A tutorial for integrating RStudio and Github

Programming

This section is for those who would like to write their own functions, packages, etc. and require a more computer-science-y understanding of R as a programming language.

  • Hadley Wickham’s Advanced R online textbook
  • Hadley Wickham’s R Packages online textbook
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