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.

student_<your_last_name>/
|
|__ data/
|   |
|   |-- lesson1.rds
|   |-- lesson2.rds
|   |...
|
|__ scripts/
|   |
|   |-- lesson1.R
|   |-- lesson2.R
|   |...

When running scripts in RStudio, the working directory should be path/to/student_<your_last_name>/scripts. You can check in RStudio by typing getwd() in the console. For example, let’s say you’ve cloned your personal repo into your home directory within a folder called edh7916. Then you should see (if on a Mac):

> getwd()
[1] "/Users/bts/edh7916/student_skinner/scripts"

Lessons

1. Introduction
2. Organizing
3. Data Wrangling I: Enter the {tidyverse}
4. Data Wrangling II: Appending, joining, and reshaping data
5. Data Wrangling III: Working with strings and dates
6. Functional programming
7. Data Wrangling IV: A philosophy of data wrangling
8. Exploratory data analysis: Data visualization with ggplot2
9. Fitting regression models
10. Creating dynamic research reports using RMarkdown + {knitr}

Supplemental

• Data types and structures