# getPij: Matrix of win proportions -Pij- In steepness: Testing Steepness of Dominance Hierarchies

 getPij R Documentation

## 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 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.

`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.