Introduction to R
This course is designed for incoming graduate students. It focuses on foundational R programming skills, emphasizing reproducible workflows and best practices for data analysis in the social sciences. Each session is approximately 3 hours and includes lectures, in-class exercises, and take-home problem sets with solutions.
Course Materials
| Session | Topic & Modules | Lecture Slides | Problem Set | Solutions |
|---|---|---|---|---|
| Session 1 |
Module 1: Intro to R & RStudio Module 2: R Programming Basics Module 3: Vectors & Data Frames |
Slides | Problem Set 1 | Solutions |
| Session 2 |
Module 4: Data Import/Export Module 5: Data Manipulation Module 6: Best Practices |
Slides | Problem Set 2 | Solutions |
| Session 3 | Reproducible Workflow | Slides |