Pij: Evaluates the probability of Winning

In nmmarquez/linHierarchy: Generate linear rankings from dyadic interactions within a group

Description

Calculates the percentage of games player i (pi) won over player j (pj) across the interData object. Ties are disregarded in this calculation as per the methods described in Gammel et al. 2003 and de Vries et al. 2006.

Usage

Pij(intData)

Arguments

intData

an object of the class "interData"

Details

Given two players in interaction data finds the percentage for winning of the first player over of the seconed.

Value

Numeric value reflecting the percentage of time pi beat pj where there was a clear winner. (i.e. no tie)

References

Gammel et al. (2003) David's Score. Animal Behaviour. de Vries et al (2006). Measuring and testing the steepness of dominance hierarchies. Animal Behaviour.

Examples

# generate generic data
interactions <- data.frame (a = sample (letters [1:10], 100, T),
                            b = sample (letters [1:10], 100, T),
                            o = sample (c(-1,-1,0,1,1), 100, T),
                            d = Sys.time () + runif (100, 40, 160))
# convert to interData object
id1 <- intTableConv (interactions)
# find Pij betweeen players in group
Pij (toInterMat (id1))

nmmarquez/linHierarchy documentation built on May 23, 2019, 9:28 p.m.