https://github.com/bupaverse/edeaR
Exploratory and descriptive analysis of event based data.
https://github.com/bupaverse/edeaR
Last synced: 5 months ago
JSON representation
Exploratory and descriptive analysis of event based data.
- Host: GitHub
- URL: https://github.com/bupaverse/edeaR
- Owner: bupaverse
- License: other
- Created: 2019-07-29T11:40:42.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-07-13T11:56:20.000Z (almost 2 years ago)
- Last Synced: 2024-10-23T15:32:06.193Z (6 months ago)
- Language: R
- Homepage: https://bupaverse.github.io/edeaR/
- Size: 6.46 MB
- Stars: 12
- Watchers: 6
- Forks: 3
- Open Issues: 5
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
Awesome Lists containing this project
- jimsghstars - bupaverse/edeaR - Exploratory and descriptive analysis of event based data. (R)
README
---
output: github_document
---```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```[](https://cran.r-project.org/package=edeaR)
[](https://github.com/bupaverse/edeaR)
[](https://github.com/bupaverse/edeaR/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/bupaverse/edeaR?branch=master)
[](https://lifecycle.r-lib.org/articles/stages.html#stable/)This package provides several useful techniques for _Exploratory and Descriptive Analysis_ of event based data in [`R`](https://www.r-project.org/).
For more information, check the [manual on GitHub](https://bupaverse.github.io/edeaR/) or the [bupaR Documentation](https://bupaverse.github.io/docs/) website.
## Installation
You can install **edeaR** from [CRAN](https://cran.r-project.org/) with:
```{r cran-installation, eval = FALSE}
install.packages("edeaR")
```### Development Version
You can install the development version of **edeaR** from [GitHub](https://github.com/) with:
```{r gh-installation, eval = FALSE}
# install.packages("devtools")
devtools::install_github("bupaverse/edeaR")
```## Example
```{r example}
library(edeaR)
library(eventdataR)# Calculate idle times per resource:
patients %>%
idle_time(level = "resource", units = "days")
```