R Bootcamp
These are the materials from the 2019 R Bootcamp for incoming graduate students for the Department of Psychology at the University of Oregon. If you’d like to use these resources in teaching, I recommend forking the github repository. You can also work through the materials on your own by cloning the repo, and working throughthe files labelled “r_bootcamp_day_1.Rmd”, “r_bootcamp_day_2.Rmd”, and “r_bootcamp_day_3.Rmd”. You can check your work with the “*_with_answers.Rmd” versions of those files.
You can also walk through the rendered versions of these Rmds here.
Day 1:
- Basic R Use
- Types of Data
- Function & Iterations (incl. packages)
Day 2:
- More Advanced Base R
- Introduction to the tidyverse
- Piping Syntax
- Deep dive into
dplyr
Day 3
- Tidying data with
tidyr - Data Visualization with
ggplot2
Credit:
Content adapted from:
Jessica Kosie’s 2018 Version of this workshop
Hadley Wickham’s R for Data Science
Data Science Club’s in progress R Guide (Contr. Jonny Saunders, Krista Destasio, myself)
Additional Resources:
R for Data Science (see Hadley Wickham above)
YaRrr! The Pirate’s Guide to R
HUGE list of R resources compiled by Paul van der Laken
ggplot2: Elegant Graphics for Data Analysis (ggplot2 book) Note: this link will download a copy of the book.