Introduction to R for Social Scientists
University of Washington
Weekly lecture notes and links:
1. RStudio and R Markdown
- Slides for Lecture 1: Course logistics, R/RStudio, and R Markdown
- Lecture Video for Lecture 1, recorded April 3rd, 2019
- Homework 1: Due at 11:59PM on April 9th
- Get R
- Get RStudio
- R Markdown Installation - Also has LaTeX installation instructions
- Introduction to R Markdown
- RMarkdown documentation
- R Markdown: The Definitive Guide by Xie, Allaire, and Grolemund, a comprehensive textbook on R Markdown.
- Useful RStudio cheatsheets on R Markdown, RStudio shortcuts, etc.
- Information on the
prettydoc package for nicer looking RMarkdown themes
- Presentations in RStudio for simple presentations
- Xaringan for advanced presentations
pander documentation for making tables, etc.
- Shapes and line types in base R
- Color names (PDF) in base R
2. Visualizing Data
3. Manipulating and Summarizing Data
4. Understanding R Data Structures
5. Importing, Exporting, and Cleaning Data
6. Using Loops
7. Writing Functions
8. Working with Text Data
9. Working with Geographical Data
10. Reproducibility and Best Practices (Not given Spring 2019)
11. Working with Model Results (Under Renovation)
This project is maintained by clanfear and includes materials from rebeccaferrell with permission.