R Programming 2022
R Programming 2022
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(), across(), ggplot: faceting, scales
Part 5. summarize() and group_by(), doing things with multiple tables (left_join() etc), reshaping data (i.e. pivot_longer())
Part 6. Lists and RMarkdown
Part 6 (Class 7): More data wrangling and ggplot
Part 7 (Class 8): Lists/Functions/Intro to Purrr
Part 8 (Class 9). Intro to stats/broom/More Purrr
Part 9 (Class 10-11) More stats, broom, and tables (gt, gtsummary)
Part 6 (Class 7): More data wrangling and ggplot
Continue with Part 6 Readings.
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