Below is the complete list of tutorials that were created last summer. We wrote the materials so that they would be accessible to an introductory student in a class setting or a more-advanced student outside of class. You can download all of the materials for a topic by selecting zip (note: Mac users need to use Chrome or Firefox for the zip file to download). You can preview the tutorials as html documents. If you’re a GitHub user, please feel free to fork the repository!
Tidy Data with tidyr
Data Wrangling: An Introduction to dplyr
Merging Data with dplyr
Data Visualization: An Introduction to ggplot2
Introduction to Creating Maps with ggplot2
Making Maps with Shapefiles
Manipulating Text
Working with Dates and Times
Introduction to Data Scraping with rvest
This Fall, I adapted the visualization and data wrangling labs for use in my introductory statistics course. I also created additional labs to continue to introduce students to R. Below are the set of labs I used in class.
Here is the full schedule for my class.
Lab 1: Creating Graphs with ggplot2
Lab 2: Introduction to Data Manipulation in R
Lab 3: Introduction to Hypothesis Testing
Lab 4: Comparing Two Proportions
Lab 5A: The one-sample bootstrap
Lab 5B: The two-sample bootstrap
Lab 6: Simple linear regression in R