Lessons

Workshop modules are listed in order of the course. The R script () and data () used to create each module will be linked at the top of the page.

A note on directory structure

All modules assume the directory structure below.

past/edh7916/2022/spring/
|
|__ data/
|   |
|   |-- lesson1.rds
|   |-- lesson2.rds
|   |...
|
|__ scripts/
|   |
|   |-- lesson1.R
|   |-- lesson2.R
|   |...

When running scripts in RStudio, the working directory should be path/to/past/edh7916/2022/spring/scripts. You can check in RStudio by typing getwd() in the console. For example, let’s say you’ve saved the files in a folder called courses, which is in your home directory. Then you should see (if on a Mac):

> getwd()
[1] "/Users/benski/courses/past/edh7916/2022/spring/scripts"

Lessons

• Introduction to R
• Introduction to Git
• Introduction to Markdown
• Organizing
• Data Wrangling I: Enter the tidyverse
• Data Wrangling II: Appending, joining, and reshaping data
• Data Visualization with ggplot2
• Creating research reports with RMarkdown
• Data Wrangling III: Working with strings and dates
• Functional programming
• Data Wrangling IV: A philosophy of data wrangling

Extra

• Inferential I: Correlations, t-tests, and weights
• Inferential II: Regression and prediction
• Web scraping in R
• Functional programming II
• Interactive graphics
• High performance R with Rcpp
• Introduction to mapping in R
• Data Visualization with ggplot2 II

Supplemental

• Getting education data from common sources
• Data Wrangling with Base R