R Programming
R Programming
Syllabus
Schedule
Readings
Classes
Functions
Midterm Projects
Course Reviews
Reading details
Reading policy
Readings
Part 1: Introduction to R/RStudio/Vectors/
Part 2: Data Frames/Loading Data/ggplot2
Part 3: `ggplot2`, factors, boxplots, `dplyr`: subsetting using `filter()`/`select()`
Part 4. `dplyr`: `mutate()`, `group_by()`/`summarize()`/`across`
Part 5. More about manipulating factors (`forcats`)/doing things with multiple tables/functions()
Part 6. Lists and RMarkdown
Part 7. purrr
Part 8. Statistical Modeling/More purr
Part 9. Tidymodels/Unsupervised Learning/Logistic Regression
Part 10. Tidymodels/Supervised Learning/Logistic Regression
Part 7. purrr
Required
Learn to purrr
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