plot.dnc: Plot a 'dnc' object.
In dnc: Dynamic Network Clustering

Description Usage Arguments Details Examples

View source: R/DNCRPackageRCode.R

Construct 2D or 3D plots of the latent actor positions using the plot3D and plot3Drgl packages.

## S3 method for class 'dnc'
plot(x,aggregated=TRUE,plotRGL=TRUE,
                    Lines=TRUE,colByComm=TRUE,
                    INDEX=1:min(dim(x$pm$X)[1],3),...)

`x`	A `dnc` class object
`aggregated`	Logical. Should the time points be aggregated, or should separate plots be made for each time point?
`plotRGL`	Logical. Should `rgl` interactive plot(s) be made? Ignored if `length(INDEX)==2`.
`Lines`	Logical. Should lines be drawn from the origin to the center of the communities?
`colByComm`	Logical. Should the actors be colored according to community membership?
`INDEX`	Vector. Which subset of the `p` dimensions should be plotted? Note: The length of this vector determines whether a 2D or 3D plot should be made.
`...`	Further arguments to be passed into `points()`, `surf3D` or `points3D` functions.

This function utlizies functions from the plot3D and plot3Drgl packages for 3D functionality. To see what options you may pass into ..., see documentation for points in base R, plot3D::surf3D, or plot3D::points3D.

  data(friendship)
  set.seed(123)
  dncObj <- dnc(friendship,M=4,p=3,method="Gibbs",
                controls=list(nDraws=250,burnin=50,
                              MaxItStg2=25,epsilonStg2=1e-15))
  par(mar=rep(0,4)+0.05)
  plot(dncObj,plotRGL=FALSE,pch=16,phi=60,lwd=2,cex=1.5)