https://github.com/malcolmbarrett/mastering_r_for_epi
Course Materials for Mastering R for Epidemiologic Research
https://github.com/malcolmbarrett/mastering_r_for_epi
Last synced: about 1 month ago
JSON representation
Course Materials for Mastering R for Epidemiologic Research
- Host: GitHub
- URL: https://github.com/malcolmbarrett/mastering_r_for_epi
- Owner: malcolmbarrett
- Created: 2019-08-29T04:30:29.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-03-11T17:10:42.000Z (about 3 years ago)
- Last Synced: 2025-01-16T01:43:07.365Z (3 months ago)
- Language: HTML
- Homepage:
- Size: 161 MB
- Stars: 11
- Watchers: 3
- Forks: 9
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
- jimsghstars - malcolmbarrett/mastering_r_for_epi - Course Materials for Mastering R for Epidemiologic Research (HTML)
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
# 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](https://github.com/rstudio/master-the-tidyverse) workshop offered by RStudio but focuses more on the needs of health researchers. We also cover modeling, Shiny, and other miscellaneous topics. The Shiny section of the course is heavily influenced by the [full day Shiny workshop](https://github.com/dtkaplan/shinymark) 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](00-intro/intro_r.pdf) and complete all the exercises
2. Sign up for an account at https://rstudio.cloud