aniDom-package {aniDom} | R Documentation |
Inferring Dominance Hierarchies and Estimating Uncertainty
Description
Provides (1) Tools to infer dominance hierarchies based on calculating Elo scores, but with custom functions to improve estimates in animals with relatively stable dominance ranks. (2) Tools to plot the shape of the dominance hierarchy and estimate the uncertainty of a given data set.
Details
Package: | aniDom |
Type: | Package |
Version: | 0.1.5 |
Date: | 2021-03-06 |
License: | GPL-2 |
Author(s)
Written by Damien R. Farine and Alfredo Sanchez-Tojar
Maintainer: Damien R. Farine <damien.farine@ieu.uzh.ch>
References
Sanchez-Tojar, A., Schroeder, J., Farine, D.R. (in prep) Methods for inferring dominance hierarchies and estimating their uncertainty.
Examples
# Generate data
data <- generate_interactions(N.inds=10,N.obs=20,a=5,b=3)
# Extract interactions
winners <- data$interactions$Winner
losers <- data$interactions$Loser
# Calculate Elo scores with randomised order
scores <- elo_scores(winners=winners,losers=losers,randomise=TRUE,n.rands=1000)
# Plot ranks
plot_ranks(scores,plot.CIs=TRUE)
# Plot hierachy shape
plot_hierarchy_shape(identity=1:nrow(scores),rank=1:nrow(scores),
winners=winners,losers=losers,fitted=TRUE)
[Package aniDom version 0.1.5 Index]