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).
|License:||GPL version 2 or newer|
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 steeptest Statistical significance for steepness statistic
David Leiva <firstname.lastname@example.org> & Han de Vries <J.deVries1@uu.nl>.
Maintainer: David Leiva <email@example.com>
de Vries, H., Stevens, J. M. G., & Vervaecke, H. (2006). Measuring and testing the steepness of dominance hierarchies. Animal Behaviour, 71, 585-592.
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