getStp | R Documentation |

Function to obtain hierarchy's steepness measure from the observed sociomatrix.

getStp(X, method=c("Dij","Pij"))

`X` |
Empirical sociomatrix containing wins-losses frequencies in dyadic encounters. The matrix must be square and numeric. |

`method` |
A character string indicating which dyadic dominance measure is to be used for the computation of David's scores. One of "Dij" or "Pij", can be abbreviated. |

`getStp`

is the absolute value of the slope of the best-fitted line between the normalized David's scores and the rank dominance in a decreasing order. The regression is obtained by Ordinary Least Squares method.

`getStp` |
Steepness measure based on dyadic dominance indices corrected for chance or based on the matrix of win proportions, depending on the method specified. |

David Leiva dleivaur@ub.edu & Han de Vries J.deVries1@uu.nl.

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

`getDij`

, `getPij`

, `getNormDS`

.

############################################################################## ### 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") print(getStp(X,method="Dij"),digits=3)

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