plot_2networks: Plot two networks (GGMs)

In FrankD/nethet: A bioconductor package for high-dimensional exploration of biological network heterogeneity

Description

Plot two networks (GGMs)

Usage

plot_2networks(invcov1, invcov2, node.label = paste("X", 1:nrow(invcov1),
  sep = ""), main = c("", ""), ...)

Arguments

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).

Value

Figure with two panels (for each network).

Author(s)

nicolas

Examples

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)

FrankD/nethet documentation built on Oct. 5, 2020, 8:22 a.m.