R for Psychological Science

A series of workshops for learning R quickly and practically to do psychological (or any) research better.

This guide is a series of workshops we created to help students and researchers learn how to quickly and pragmatically learn R for psychological science. While there are many (many) resources for learning R out in the world, we were surprised to find no comprehensive basic tutorial that equips learners in psychology with the specific tools they need to go through each step of the data analysis process. That’s what we tried to do here. And, hopefully, it can help new R users learn what they need and apply it to their data quicker and with fewer headaches. Give it a try and let us know how it goes!

0.1 What’s in this guide

Currently, this guide consists of 3 workshops to get you started in using R for your research. These teach you how to

  • Understand and use R
  • Get your data into R
  • Manipulate and clean your data
  • visualize your data and build skills to build any plot you want

This series also includes workshops on more key skills to help you clean and analyze your data. I am currently cleaning and improving these before sharing more widely (but feel free to ask for in progress versions if they would be helpful). These include:

  • More advanced dive into visualizing data
  • Understanding and working in R with outliers and psychometrics
  • Group testing (e.g., t-tests, ANOVA)
  • Correlation and regression
  • Mediation and moderation
  • Non-parametric regression
  • Basic programming and iteration
  • a workshop to bring together these skills into a reproduceable workflow

0.2 The authors

Chayce Baldwin | PhD Candidate in Social Psychology at the University of Michigan |

Benjamin Lira | PhD Student in Psychology at the University of Pennsylvania | Ben’s ResearchGate