Week 02: R fundamentals and the tidyverse
Overview
Getting comfortable with R, RStudio, and the tidyverse ecosystem.
Readings
Wickham, Cetinkaya-Rundel, and Grolemund, R for Data Science Chapters 1–4
- R and RStudio orientation
- Data types, vectors, and data frames
- Introduction to dplyr: filter, select, mutate, summarize
- Pipes and workflow
Slides
Slides will be posted before class.
Additional Resources
Additional resources and code examples will be added as the semester progresses.