DS: calculate David's scores In EloRating: Animal Dominance Hierarchies by Elo Rating

Description

calculate David's scores

Usage

 `1` ```DS(interactionmatrix, prop=c("Pij", "Dij")) ```

Arguments

 `interactionmatrix` square interaction matrix with winner in rows and losers in columns, for example the output from `creatematrix` `prop` the type of dyadic win proportion to be use. By default corrected for number of interactions in a dyad, otherwise the raw proportion

Value

a data.frame with columns ID, DS (David's scores) and normDS (normalized David's scores)

Christof Neumann

References

David, H. A. 1987. Ranking from unbalanced paired-comparison data. Biometrika, 74, 432-436.

Gammell, M. P., de Vries, H., Jennings, D. J., Carlin, C. M. and Hayden, T. J. 2003. David's score: a more appropriate dominance ranking method than Clutton-Brock et al.'s index. Animal Behaviour, 66, 601-605.

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

Examples

 ```1 2 3 4``` ```data(adv) SEQ <- elo.seq(winner=adv\$winner, loser=adv\$loser, Date=adv\$Date) mat <- creatematrix(SEQ) DS(mat) ```

Example output

```Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

as.Date, as.Date.numeric

[1] "loop 1: Elo calculations"

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[1] "loop 2: Stability calculations"

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ID         DS   normDS
1  c  11.333333 4.619048
2  b   9.666667 4.380952
3  d   8.333333 4.190476
4  f  -4.333333 2.380952
5  e  -5.000000 2.285714
6  g  -6.666667 2.047619
7  a -13.333333 1.095238
```

EloRating documentation built on May 29, 2017, 7:14 p.m.