Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/fhdsl/dasehr
DaSEH Course Data
https://github.com/fhdsl/dasehr
daseh data-package edtech-software environmental-health
Last synced: about 2 months ago
JSON representation
DaSEH Course Data
- Host: GitHub
- URL: https://github.com/fhdsl/dasehr
- Owner: fhdsl
- License: other
- Created: 2024-05-07T15:46:28.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-07-08T02:04:12.000Z (6 months ago)
- Last Synced: 2024-07-08T02:54:30.968Z (6 months ago)
- Topics: daseh, data-package, edtech-software, environmental-health
- Language: R
- Homepage:
- Size: 5.79 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
Awesome Lists containing this project
README
---
output: github_document
---```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```# `dasehr` package
[![R-CMD-check](https://github.com/fhdsl/dasehr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/fhdsl/dasehr/actions/workflows/R-CMD-check.yaml)
This package contains the datasets used in examples and labs for the Data Science for Environmental Health (DaSEH) Short Course, supported by NIEHS and run by Ava Hoffman and Carrie Wright from the Data Science Lab at Fred Hutchinson Cancer Center.
Additional work on the short course has been contributed by Elizabeth Humphries and Candace Savonen.
## Installation
You can install the development version of `dasehr` from [GitHub](https://github.com/) with:
``` r
# Use devtools or remotes to install from GitHub
# install.packages("devtools")
devtools::install_github("fhdsl/dasehr")# See the datasets available
library(dasehr)
?dasehr
```## Example
This is a basic example loading the calenviroscreen data:
```{r example, eval = FALSE}
library(dasehr)calenviroscreen
```
## Development
We have created a [notes document](https://github.com/fhdsl/dasehr/wiki/Dev-notes) to make development of the package easier.