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https://github.com/kwstat/agridat
Agricultural datasets
https://github.com/kwstat/agridat
data rstats
Last synced: 2 days ago
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Agricultural datasets
- Host: GitHub
- URL: https://github.com/kwstat/agridat
- Owner: kwstat
- License: other
- Created: 2012-05-25T14:00:39.000Z (over 12 years ago)
- Default Branch: main
- Last Pushed: 2024-10-28T18:53:30.000Z (11 days ago)
- Last Synced: 2024-10-29T19:53:00.259Z (10 days ago)
- Topics: data, rstats
- Language: R
- Homepage:
- Size: 199 MB
- Stars: 117
- Watchers: 20
- Forks: 36
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- -awesome-agriculture - agridat - R package providing an extensive collection of datasets from agricultural experiments. (Datasets, Machine Learning and AI)
- open-sustainable-technology - Agridat - An extensive collection of datasets from agricultural experiments. (Consumption / Agriculture and Nutrition)
README
# agridat
[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/agridat)](https://cran.r-project.org/package=agridat)
[![CRAN_Downloads](https://cranlogs.r-pkg.org/badges/agridat)](https://cranlogs.r-pkg.org/badges/agridat)Homepage: https://kwstat.github.io/agridat
Repository: https://github.com/kwstat/agridat
The `agridat` package provides an extensive collection of datasets from agricultural experiments.
The datasets come from books, papers, and websites related to agriculture.
Example graphics and analyses are included. Data come from small-plot trials,
multi-environment trials, uniformity trials, yield monitors, and more.This package tries to make data FAIR: Findable, Accessible, Interoperable, Reusable.
## Key features
* Thorough documentation.
* Examples for (almost) every dataset.
## Installation
```R
# Install the released version from CRAN:
install.packages("agridat")# Install the development version from GitHub:
install.packages("devtools")
devtools::install_github("kwstat/agridat")
```## Usage
```R
library(agridat)
?agridat # list all datasets with keywords
```