getDS | R Documentation |

Function to obtain David's scores from the observed sociomatrix.

getDS(X, names=NULL, method=c("Dij","Pij"))

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

`names` |
Character vector with the names of individuals. This vector is NULL by default |

`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. |

`getDS`

is obtained by means of the following expression: *DS = w1 + w2 - l1 - l2* where *w1* is the sum of i's Dij or Pij values (depending on the `method`

specification); *w2* is the weighted sum of i‘s dyadic dominance indices corrected for chance or the weighted sum of i’s win proportions; *l1* is the sum of i's Dji or Pji values and *l2* is the sum of i's dyadic lose indices corrected for chance or the weighted sum of i's lose proportions.

`DS` |
David's scores based on dyadic dominance indices corrected for chance or on win proportions. |

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

David, H. A. (1988). *The Method of Paired Comparisons*. London: C. Griffin.

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`

, `getwl`

.

############################################################################## ### 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 <- getDS(X,names=individuals,method="Dij") print(res,digits=3)

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