e.single: Elo ratings for a single interaction

In gobbios/EloRating2: Animal Dominance Hierarchies by Elo Rating

Elo ratings for a single interaction

Description

calculate/update Elo ratings for a single dyadic interaction

Usage

e.single(ELO1old, ELO2old, outcome, k = 100, normprob = TRUE)

Arguments

ELO1old, ELO2old	numeric, Elo rating of the first and second individual
outcome	1 = first individual wins and second looses 2 = second individual wins and first looses 0 = interaction ends in a draw/tie (no winner and no looser)
k	numeric, k factor, by default k = 100
normprob	logical (by default TRUE). Should a normal curve be assumed for calculating the winning/losing probablities, or a logistic curve. See winprob for details

Value

integer vector of length 2 with updated ratings of first and second individual after the interaction

Author(s)

Christof Neumann

References

\insertRef

elo1978EloRating

\insertRef

albers2001EloRating

Examples

e.single(ELO1old = 1200, ELO2old = 1000, outcome = 1, k = 100)
# same as before
e.single(ELO1old = 1000, ELO2old = 1200, outcome = 2, k = 100)
# an undecided interaction
e.single(ELO1old = 1200, ELO2old = 1000, outcome = 0, k = 100)
# if rating differences are too big, no change occurs
# if higher-rated individual wins
e.single(ELO1old = 2000, ELO2old = 1000, outcome = 1, k = 100)
# same as before but lower-rated individual wins and
# therefore wins maximum number of points possible (i.e. k)
e.single(ELO1old = 2000, ELO2old = 1000, outcome = 2, k = 100)

gobbios/EloRating2 documentation built on June 4, 2023, 2:36 p.m.