https://github.com/jbryer/likert
Package to analyze likert based items.
https://github.com/jbryer/likert
data-science r visualization
Last synced: 5 months ago
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Package to analyze likert based items.
- Host: GitHub
- URL: https://github.com/jbryer/likert
- Owner: jbryer
- Created: 2012-05-04T14:02:08.000Z (about 14 years ago)
- Default Branch: master
- Last Pushed: 2025-03-26T02:20:01.000Z (over 1 year ago)
- Last Synced: 2026-01-26T18:51:14.622Z (5 months ago)
- Topics: data-science, r, visualization
- Language: HTML
- Homepage: https://jbryer.github.io/likert/
- Size: 15.3 MB
- Stars: 316
- Watchers: 19
- Forks: 122
- Open Issues: 32
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
Awesome Lists containing this project
README
---
output: github_document
editor_options:
chunk_output_type: console
---
### Analysis and Visualization of Likert Based Items
**Author: [Jason Bryer, Ph.D.](mailto:jason@bryer.org)**
**Website: **
`r badger::badge_cran_release("likert", "orange")`
`r badger::badge_devel("jbryer/likert", "blue")`
`r badger::badge_github_actions("jbryer/likert", action = "R-CMD-check")`
`likert` is an R package designed to help analyzing and visualizing Likert type items. More information can be obtained at https://jbryer.github.io/likert. Also, the [included demo](https://github.com/jbryer/likert/blob/master/demo/likert.R) demonstrates many of the features.
Download the 2013 useR! Conference [abstract](https://github.com/jbryer/likert/raw/master/slides/useR%202013/Abstract/Speerschneider.Bryer.likert.pdf) and [slides](https://github.com/jbryer/likert/raw/master/slides/useR%202013/Slides/Slides.pdf).
The latest development version can be downloaded using the `devtools` package.
```
remotes::install_github('jbryer/likert')
```
To get started take a look at the [likert demo](https://github.com/jbryer/likert/blob/master/demo/likert.R) or from within R:
```
demo('likert', package='likert')
```
Or run the [Shiny app](http://rstudio.com/shiny):
```
shinyLikert()
```