getPij: Matrix of win proportions -Pij-

In steepness: Testing Steepness of Dominance Hierarchies

Matrix of win proportions -Pij-

Description

Function to obtain matrix of win proportions from the observed sociomatrix.

Usage

   getPij(X, names=NULL)

Arguments

X	Empirical sociomatrix containing wins-losses frequencies in dyadic encounters.
names	Character vector with the names of individuals. This vector is NULL by default

Details

getPij is only applied for square matrices in which the set of n actors is also the set of n partners. The matrices must also be numeric.

Value

Pij	Matrix of observed win proportions.

Author(s)

David Leiva [e-mail] & Han de Vries [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

steeptest.

Examples

##############################################################################
###               Example taken from Vervaecke et al. (2007):              ###
##############################################################################

X <- matrix(c(0,58,50,61,32,37,29,39,25,8,0,22,22,9,27,20,10,48,
              3,3,0,19,29,12,13,19,8,5,8,9,0,33,38,35,32,57,
              4,7,9,1,0,28,26,16,23,4,3,0,0,6,0,7,6,12,
              2,0,4,1,4,4,0,5,3,0,2,1,1,5,8,3,0,10,3,1,3,0,0,4,1,2,0),
              nrow=9,byrow=TRUE)

individuals <- c("V","VS","B","FJ","PR","VB","TOR","MU","ZV")

res <- getPij(X,individuals)

print(res,digits=3)

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