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R Programming
R Programming
  • Syllabus
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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 5. More about manipulating factors (`forcats`)/doing things with multiple tables/functions()

Required

  • Introduction to Functions and Arguments
  • Introduction to Lists - be sure to read this before class next week.
  • Control your Factors Using Forcats

Last updated on February 22, 2021

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BSTA 504: R Programming (Winter 2021)
Oregon Health & Science University / Portland State University    OHSU/PSU School of Public Health

Dr. Ted Laderas    laderast@ohsu.edu

Wednesdays    3:15–6:05 PM
Online

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