Analyzing Animal's Rhythmicity

Analyze and visualize the rhythmic behavior of animals using the degree of functional coupling (See Scheibe (1999) ), compute and visualize harmonic power, actograms, average activity and diurnality index.


readme

digiRhythm

digiRhythm is an R library developed at Agroscope and provides a set of tools to analyze and visualize the rhythmic behavior of animals. It mainly focuses on the Degree of Functional Coupling (0 < DFC < 1), a measure used by several scientists to assess the welfare of animals. The library also provides tools to compute the diurnality index, to visualize the actogram and the average activity.

This repository contains the most updated version of the library, while the CRAN package and its vignettes could be found at CRAN.

The library is still under development and we are working on adding more functionalities to it. If you have any suggestions or you want to contribute to the library, please feel free to contact us. Email: [email protected] or [email protected]

Installation

You can install the development version from GitHub with:

#Uncomment the below two lines if you use the library for the first time of if
#you want to update the library
#install.packages("devtools")
#devtools::install_github("nasserdr/digiRhythm", dependencies = TRUE)

Examples:

You can access few examples from the vignettes provided along with the package, either on the package website or from the Vignettes:

Website Vignettes

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("digiRhythm")

2.4 by Hassan-Roland Nasser, 2 years ago


https://nasserdr.github.io/digiRhythm/


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


Authors: Hassan-Roland Nasser [aut, cre] , Marie Schneider [aut, ctb] , Joanna Stachowicz [aut, rev] , Christina Umstaetter [aut, ths]


Documentation:   PDF Manual  


GPL-3 license


Imports tidyr, readr, magrittr, dplyr, xts, pracma, ggplot2, lubridate, stringr, zoo, crayon, stats

Suggests knitr, rmarkdown, testthat, usethis


See at CRAN