creatematrix: create a dominance matrix In EloRating: Animal Dominance Hierarchies by Elo Rating

Description

create a dominance matrix from the underlying observed sequence

Usage

 ```1 2``` ```creatematrix(eloobject, daterange=NULL, drawmethod="omit", onlyinteracting=FALSE) ```

Arguments

 `eloobject` output from `elo.seq` `daterange` date range to which the matrix should correspond (default from beginning to end of sequence) `drawmethod` "omit" = undecided interactions (draws/ties) are ignored (default) "0.5" = each undecided is counted half a win for each dyad member "1" = each undecided interaction is counted twice, i.e. as win for both individuals `onlyinteracting` logical. Indicating whether all individuals that were present (default) are shown in the matrix, or only those that were involved in an interaction in the specified date period. If no presence data was supplied to `elo.seq`, it is assumed that all individuals were present at all times.

Value

square matrix with dominance interactions (winner in rows, loser in columns)

Christof Neumann

Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21``` ```data(adv) SEQ <- elo.seq(winner=adv\$winner, loser=adv\$loser, Date=adv\$Date) # create dyadic matrix over the entire period of data collection creatematrix(SEQ) # limit to a subset of interactions creatematrix(SEQ, daterange=c("2010-01-25", "2010-02-01")) # limit to a subset of interactions and show only those IDs that were # involved in at least one interaction creatematrix(SEQ, daterange=c("2010-01-25", "2010-02-01"), onlyinteracting=TRUE) ## dealing with undecided interactions data(adv2) SEQ <- elo.seq(winner=adv2\$winner, loser=adv2\$loser, Date=adv2\$Date, draw=adv2\$tie) # omit ties/draws creatematrix(SEQ) # omit ties/draws creatematrix(SEQ, drawmethod="0.5") # omit ties/draws creatematrix(SEQ, drawmethod="1") ```

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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a b c d e f g
a 0 0 0 0 0 1 0
b 3 0 2 0 2 1 0
c 0 1 0 2 1 0 3
d 2 0 0 0 1 1 1
e 2 0 0 0 0 0 2
f 1 0 0 0 2 0 1
g 2 0 0 0 0 2 0
a b c d e f g
a 0 0 0 0 0 0 0
b 2 0 1 0 1 0 0
c 0 0 0 0 0 0 0
d 0 0 0 0 0 0 0
e 0 0 0 0 0 0 2
f 0 0 0 0 0 0 0
g 2 0 0 0 0 0 0
a b c e g
a 0 0 0 0 0
b 2 0 1 1 0
c 0 0 0 0 0
e 0 0 0 0 2
g 2 0 0 0 0
[1] "loop 1: Elo calculations"

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[1] "loop 2: Stability calculations"

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a b c d e f g
a 0 0 0 0 0 0 0
b 1 0 2 0 2 1 0
c 0 1 0 2 1 0 3
d 2 0 0 0 0 1 1
e 1 0 0 0 0 0 2
f 1 0 0 0 2 0 1
g 1 0 0 0 0 1 0
a b c   d   e   f   g
a 0.0 1 0 0.0 0.5 0.5 0.5
b 2.0 0 2 0.0 2.0 1.0 0.0
c 0.0 1 0 2.0 1.0 0.0 3.0
d 2.0 0 0 0.0 0.5 1.0 1.0
e 1.5 0 0 0.5 0.0 0.0 2.0
f 1.5 0 0 0.0 2.0 0.0 1.5
g 1.5 0 0 0.0 0.0 1.5 0.0
a b c d e f g
a 0 2 0 0 1 1 1
b 3 0 2 0 2 1 0
c 0 1 0 2 1 0 3
d 2 0 0 0 1 1 1
e 2 0 0 1 0 0 2
f 2 0 0 0 2 0 2
g 2 0 0 0 0 2 0
```

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