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)