Welcome!
The purpose of this course is for you to gain a basic level of proficiency in 1) working with data, 2) data visualization, and 3) statistical computation in R. This course will cover the basics in each of these areas and from there you should be equipped to continue learning more on your own and from other courses.
Although it will be applicable to a wide-range of disciplines, it is aimed for the undergraduate and graduate students in psychology. As such, in terms of statistical computation, the course only covers how to perform the basics of ANOVA and Regression that is typically taught in the psychology curriculum.
Course Prep
Before starting the course you should read the following sections
Optional: For a more extensive introduction to R see the supplemental materials
📖 R Basics
Classes
Class 1: An Introduction to Working with Data in R
Class 2: Import, Merge, and Restructure Data
Class 3: Data Transformation
Class 4: Reproducible Projects
Class 5: Data Preparation
Class 6: Data Scoring
Class 7: Quarto Documents
Class 8: Data Visualization
Class 9: Statistical Analysis - ANOVA
Class 10: Statistical Analysis - Regression