Two dimensional plot of the Latent Space Model output

Function to plot an object of class 'lsm'

# S3 method for lsm
plot(x, Y, drawCB = FALSE, dimZ = c(1, 2), 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, xlim = NULL, ylim = NULL, ...)

Arguments

x	object of class 'lsm'
Y	(N x N) binary adjacency matrix
drawCB	draw confidence bounds
dimZ	dimensions of the latent variable to be plotted. Default dimZ = c(1, 2)
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
xlim	range for x
ylim	range for y
...	Arguments to be passed to methods, such as graphical parameters (see par).

Examples

N <- 20
Y <- network(N, directed = FALSE)[,]

modLSM <- lsm(Y, D = 2)
plot(modLSM, Y)

# Plot with 95% CB
plot(modLSM, Y, drawCB = TRUE)
# Plot with 99% CB
plot(modLSM, Y, drawCB = TRUE, LEVEL = .99)