getDij {steepness} | R Documentation |
Dyadic dominance index corrected for chance -Dij-
Description
Function to obtain matrix of dyadic dominance indices corrected for chance from the observed sociomatrix.
Usage
getDij(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
getDij
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
Dij |
Matrix of observed dyadic dominance indices corrected for chance. |
Author(s)
David Leiva dleivaur@ub.edu & Han de Vries J.deVries1@uu.nl.
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
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 <- getDij(X,individuals)
print(res,digits=3)
[Package steepness version 0.3-0 Index]