plotY: Plot the adjacency matrix of the network

In lvm4net: Latent Variable Models for Networks

Description

Function to plot the adjacency matrix of the network.

Usage

plotY(Y, Ndata = NULL, EZ = NULL, VZ = NULL, dimZ = c(1, 2),
  labels = NULL, colPl = 1, colEll = rgb(0.6, 0.6, 0.6, alpha = 0.1),
  LEVEL = 0.95, pchplot = 20, pchEll = 19, pchPl = 19,
  cexPl = 1.1, arrowhead = FALSE, curve = NULL, lwdLine = 0.3,
  xlim = NULL, ylim = NULL, verbose = FALSE, ...)

Arguments

Y	list, or matrix containing a (N x N) binary adjacency matrix for each network view.
Ndata	number of network views
EZ	posterior mean latent positions
VZ	posterior variance latent positions, if specified draw ellipse
dimZ	dimensions of Z to be plotted, default dimZ = c(1, 2)
labels	text to be added in the plot representing the labels of each node. Default labels = NULL, no labels are shown
colPl	col for the points representing the nodes. Default colPl = NULL
colEll	col for the ellipses. Default rgb(.6, .6 ,.6 , alpha=.1)
LEVEL	levels of confidence bounds shown when plotting the ellipses. Default LEVEL = .95
pchplot	Default pchplot = 20
pchEll	pch for the ellipses. Default pchEll = 19
pchPl	pch for the points representing the nodes. Default pchPl = 19
cexPl	cex for the points representing the nodes. Default cexPl = 1.1
arrowhead	logical, if the arrowed are to be plotted. Default arrowhead = FALSE
curve	curvature of edges. Default curve = 0
lwdLine	lwd of edges. Default lwdLine = .3
xlim	range for x
ylim	range for y
verbose	if verbose = TRUE save the nodal positions
...	Arguments to be passed to methods, such as graphical parameters (see par).

Examples

N <- 20
Y <- network(N, directed = FALSE)[,]
plotY(Y)
# Store the positions of nodes used to plot Y, in order to redraw the plot using 
# the same positions
z <- plotY(Y, verbose = TRUE)
plotY(Y, EZ = z)

Example output

Loading required package: MASS
Loading required package: ergm
Loading required package: network
network: Classes for Relational Data
Version 1.16.1 created on 2020-10-06.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Martina Morris, University of Washington
                    Skye Bender-deMoll, University of Washington
 For citation information, type citation("network").
 Type help("network-package") to get started.


ergm: version 3.11.0, created on 2020-10-14
Copyright (c) 2020, Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Carter T. Butts, University of California -- Irvine
                    Steven M. Goodreau, University of Washington
                    Pavel N. Krivitsky, UNSW Sydney
                    Martina Morris, University of Washington
                    with contributions from
                    Li Wang
                    Kirk Li, University of Washington
                    Skye Bender-deMoll, University of Washington
                    Chad Klumb
                    Michał Bojanowski, Kozminski University
                    Ben Bolker
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("ergm").

NOTE: Versions before 3.6.1 had a bug in the implementation of the bd()
constraint which distorted the sampled distribution somewhat. In
addition, Sampson's Monks datasets had mislabeled vertices. See the
NEWS and the documentation for more details.

NOTE: Some common term arguments pertaining to vertex attribute and
level selection have changed in 3.10.0. See terms help for more
details. Use ‘options(ergm.term=list(version="3.9.4"))’ to use old
behavior.

lvm4net documentation built on June 13, 2019, 5:03 p.m.