Process and Report 'GreenFeed' Data

Provides tools for downloading, processing, and reporting daily and finalized 'GreenFeed' data.


greenfeedr

CRANStatus CRANDownloads CRANDownloads

Overview

greenfeedr is an R package to easily download, report, and process GreenFeed data.

The package provides tools for:

  • get_gfdata() downloads GreenFeed data via API.
  • report_gfdata() generates reports of GreenFeed data.
  • compare_gfdata() compares preliminary and finalized GreenFeed data.
  • process_gfdata() processes and averages GreenFeed data.
  • pellin() processes pellet intakes from GreenFeed units.
  • viseat() processes GreenFeed visits.

Citation

More information about how to use greenfeedr can be found in Martinez-Boggio et al. (2024).

Installation

To install the latest stable release of greenfeedr from CRAN, use:

install.packages("greenfeedr")

For the development version with the latest updates, install it from GitHub:

install.packages("remotes")
remotes::install_github("GMBog/greenfeedr")

Usage

library(greenfeedr)

ShinyApp

Run the ShinyApp directly on your computer with:

greenfeedr::run_gfapp()

Tutorials

Learn how to use greenfeedr in different workflows:

Cheat Sheet

Getting help

If you encounter a clear bug, please file an issue with a minimal reproducible example on GitHub.

For more details, please contact Guillermo Martinez-Boggio.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("greenfeedr")

1.3.1 by Guillermo Martinez-Boggio, a year ago


https://github.com/GMBog/greenfeedr


Report a bug at https://github.com/GMBog/greenfeedr/issues


Browse source code at https://github.com/cran/greenfeedr


Authors: Guillermo Martinez-Boggio [cre, aut, cph] (ORCID: , Meredith Harrison [ctb] , Patrick Lutz [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports dplyr, ggplot2, httr, lubridate, purrr, readr, readxl, rmarkdown, shiny, stats, stringr, tidyr

Suggests knitr, testthat


See at CRAN