Skip to content
Course Materials for Mastering R for Epidemiologic Research
HTML R
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
00-intro
01-reading_data
02-dplyr_5verbs cleanup and add cheatsheets Aug 30, 2019
03-ggplot_basics
04-ggplot_customizing
05-ggplot_recreate_challenge
06-tidyr_basics
07-modeling_and_broom
08-types_and_functions
09-purrr_basics
10-rmarkdown_basics
11-causal_modeling
12-whole_game
13-shiny_basics
14-shiny_reactivity
15-shiny_design_ui
16-shiny_dashboards
17-shiny_challenge
18-r_best_practices
19-r_packages_whole_game
.Rbuildignore
.gitignore
README.Rmd
README.md
mastering_r_for_epi.Rproj

README.md

Mastering R for Epidemiologic Research

This repository contains the materials for the course Mastering R for Epidemiologic Research.

In this workshop, we will cover the basics of reading, manipulating, and visualizing data using an ecosystem of tools known as the Tidyverse. We will also cover making reproducible reports with the powerful R Markdown system. This part of the course is influenced by the Master the Tidyverse workshop offered by RStudio but focuses more on the needs of health researchers. We also cover causal modeling, Shiny, R packages, and other miscellaneous topics. The Shiny section of the course is heavily influenced by the full day Shiny workshop offered by RStudio.

It is essential that you complete two tasks before we begin:

  1. Read through the material in 00-intro/intro_r.pdf and complete all the exercises
  2. Sign up for an account at https://rstudio.cloud
You can’t perform that action at this time.