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R Programming
R Programming
  • Syllabus
  • Schedule
  • Readings
  • Classes
  • Functions
  • Midterm Projects
  • Course Reviews
Class sessions
  • Part 1. Introduction to R/Rstudio/Vectors/For Loops
  • Part 2: Loading Data, data.frames, and 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 purrr
  • Part 9. `tidymodels`/Unsupervised Learning/Logistic Regression
  • Part 10. `tidymodels`/Supervised Learning/Logistic Regression
  • Part 11. Introduction to Distill Websites

Part 11. Introduction to Distill Websites

Materials from class on Wednesday, March 17, 2021
  • Workshop Instructions
  • Class Video

Workshop Instructions

Instructions are available here: https://github.com/laderast/distill_website

Be sure to follow the prep instructions.

Class Video

Last updated on March 18, 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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Content 2021 ted

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