plot.collpcm {collpcm}

Plotting a collpcm object

Description

Plot the posterior mean latent positions for G groups.

Usage

## S3 method for class 'collpcm'
plot( x, ..., G = NULL, label.nodes = NULL, pie = TRUE, 

vertex.col = c( "red", "green", "blue", "cyan", "magenta", "orange", "yellow", "purple"), 

vertex.cex = 1, object.scale = formals(plot.network.default)[["object.scale"]] )
	

Arguments

x

An object of class collpcm.

...

Additional arguments including.

G

The number of groups in the model to be plotted. Defaults to most visited in MCMC run.

label.nodes

A vector of labels to print beside corresponding nodes on the plot.

pie

Logical; Draw small pie charts to indicate group membership probabilities.

vertex.col

The colour for the slices of pie (previous).

vertex.cex

Magnify the vertex

object.scale

Scale up/down the size of the plotting of vertex and arrows.

Details

This function gives a plot of the latent positions for a given number of groups (assuming the model with the specified number of groups has been visited during the run of the sampler). If argument pie is set to TRUE, membership probabilities of the nodes are indicated by pie charts with each colour corresponding to a different group in the model. Some of the code to implement this function draws heavily on code contained in the latentnet package (Krivitsky & Handcock, 2015).

Author(s)

Jason Wyse

References

Ryan, C., Wyse, J. and Friel, N. (2017). Bayesian model selection for the latent position cluster model for Social Networks. Network Science, volume 5, 70-91.

Krivitsky P and Handcock M (2015). latentnet: Latent Position and Cluster Models for Statistical Networks. The Statnet Project (http://www.statnet.org). R package version 2.7.1, http://CRAN.R-project.org/package=latentnet.