steepness-package: Testing Steepness of Dominance Hierarchies

In steepness: Testing Steepness of Dominance Hierarchies

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

Package:	steepness
Version:	0.2-2
Date:	2014-29-09
Depends:	>= 3.1.0
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
steeptest         Statistical significance for steepness statistic

Author(s)

David Leiva <[e-mail]> & Han de Vries <[e-mail]>.

Maintainer: David Leiva <[e-mail]>

References

de Vries, H., Stevens, J. M. G., & Vervaecke, H. (2006). Measuring and testing the steepness of dominance hierarchies. Animal Behaviour, 71, 585-592.

See Also

For more information see: getDij, getDS, getNormDS, getOrderedMatrix, getPij, getStp, getwl, steeptest.

steepness documentation built on May 6, 2022, 9:07 a.m.