https://github.com/super-lou/datasheep

🐑 A more or less user friendly plotting package that aims to facilitate the creation of datasheet for research purposes
https://github.com/super-lou/datasheep

climate-projection datasheet ggplot2 graphical-visualization hydrological-projection r workflow

Last synced: about 1 month ago
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🐑 A more or less user friendly plotting package that aims to facilitate the creation of datasheet for research purposes

• Host: GitHub
• URL: https://github.com/super-lou/datasheep
• Owner: super-lou
• License: agpl-3.0
• Created: 2022-09-05T11:27:03.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-02-03T22:46:12.000Z (4 months ago)
• Last Synced: 2025-02-15T09:23:15.695Z (3 months ago)
• Topics: climate-projection, datasheet, ggplot2, graphical-visualization, hydrological-projection, r, workflow
• Language: R
• Homepage:
• Size: 378 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Codemeta: codemeta.json

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README

        
# dataSHEEP

[![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html)

![](https://img.shields.io/github/last-commit/super-lou/dataSHEEP)

[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](code_of_conduct.md)

A more or less user friendly plotting package that aims to facilitate the creation of datasheet for research purposes.

This project was carried out for National Research Institute for Agriculture, Food and the Environment (Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, [INRAE](https://agriculture.gouv.fr/inrae-linstitut-national-de-recherche-pour-lagriculture-lalimentation-et-lenvironnement) in french).

## Installation

For latest development version

``` r

remotes::install_github('super-lou/dataSHEEP')

```

## Documentation

## FAQ

*I have a question.*

-   **Solution**: Search existing issue list and if no one has a similar question create a new issue.

*I found a bug.*

-   **Good Solution**: Search existing issue list and if no one has reported it create a new issue.

-   **Better Solution**: Along with issue submission provide a minimal reproducible example of the bug.

-   **Best Solution**: Fix the issue and submit a pull request. This is the fastest way to get a bug fixed.

## Code of Conduct

Please note that this project is released with a [Contributor Code of Conduct](CODE_OF_CONDUCT.md). By participating in this project you agree to abide by its terms.