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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 2: Data Frames/Loading Data/ggplot2

Required

  • Data Organization in Spreadsheets by Kara Woo and Karl Broman - if there is one paper that I think is useful for everyone, it’s this one.
  • Absolute and Relative File Paths - sometimes understanding file paths can be difficult. This is a great follow up reading. The video is very helpful as well.
  • What are R packages?

Last updated on December 29, 2021

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BSTA 504: R Programming 2022 (Winter 2022)
Oregon Health & Science University / Portland State University    OHSU/PSU School of Public Health

Dr. Jessica Minnier    minnier@ohsu.edu

Wednesdays    3:15–6:05 PM
Online

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