| plot_2networks {nethet} | R Documentation |
Plot two networks (GGMs)
plot_2networks(invcov1, invcov2, node.label = paste("X", 1:nrow(invcov1), sep
= ""), main = c("", ""), ...)
invcov1 |
Inverse covariance matrix of GGM1. |
invcov2 |
Inverse covariance matrix of GGM2. |
node.label |
Names of nodes. |
main |
Vector (two elements) with network names. |
... |
Other arguments (see plot.network). |
Figure with two panels (for each network).
nicolas
n <- 70
p <- 30
## Specifiy sparse inverse covariance matrices,
## with number of edges in common equal to ~ 0.8*p
gen.net <- generate_2networks(p,graph='random',n.nz=rep(p,2),
n.nz.common=ceiling(p*0.8))
invcov1 <- gen.net[[1]]
invcov2 <- gen.net[[2]]
plot_2networks(invcov1,invcov2,label.pos=0,label.cex=0.7)