prepAON: Prep data for AON plot

In eliotmiller/networkTricks: Functions for analyzing social interactions

Description

Prepare data for an attribute-ordered network plot.

Usage

prepAON(ranks, edge.list)

Arguments

ranks	Numeric vector with names matching those in edge.list. No check is made to ensure these match 1:1, onus on user.
edge.list	A data frame of observations, with the first column as the dominant species/individual and the second column as the subordinate species/individual.

Details

User should format edge.list so it looks like the example data (exInput).

Value

A list object, prepped for use in plotting an attribute-ordered network.

Author(s)

Elizabeth A. Hobson, https://sites.google.com/site/hobsonresearch/

References

Hobson, E. A., D. J. John, T. L. Mcintosh, M. L. Avery, and T. F. Wright. 2015. The effect of social context and social scale on the perception of relationships in monk parakeets. Current Zoology 61:55-69.

Examples

#load in the example data
data(exInput)

#run the Bradley Terry function. takes a few seconds to run.
results <- myBTM(edge.list=exInput, cores=2)

#the names of these scores have weird periods in them. use agrep to solve
species <- unique(c(as.character(exInput$source), as.character(exInput$target)))
names(results) <- sub("..", "", x=names(results))

for(i in 1:length(results))
{
  names(results)[i] <- species[agrep(names(results)[i], species, max.distance=0.1)]
}

prepped <- prepAON(results, exInput)

eliotmiller/networkTricks documentation built on Oct. 6, 2020, 4:23 p.m.