steepness-package: Testing Steepness of Dominance Hierarchies
Description
Steepness is a package that computes steepness as a property of dominance hierarchies. Steepness is defined as the absolute slope of the straight line fitted to the normalized David's scores. The normalized David's scores can be obtained on the basis of dyadic dominance indices corrected for chance or from the matrix of win proportions. Given an observed sociomatrix, it computes hierarchy's steepness and estimates statistical significance by means of a randomization test (see de Vries, Stevens and Vervaecke, 2006).Details
ll{
Package: steepness
Version: 0.2
Date: 2011-08-06
Depends: >= 2.10.1
License: GPL version 2 or newer
}
Index:
getDij Dyadic dominance index corrected for chance -Dij-
getDS David's scores -DS-
getNormDS Normalized David's scores -NormDS-
getOrderedMatrix Ordered matrix according to NormDS values
getPij Matrix of proportions of wins -Pij-
getStp Hierarchy's steepness measure -Stp-
getwl Several win and loss measures at individual level
getplot Steepness plot
steeptest Statistical significance for steepness statisticReferences
de Vries, H., Stevens, J. M. G., & Vervaecke, H. (2006). Measuring and testing the steepness of dominance hierarchies. Animal Behaviour, 71, 585-592.