networkSimulation: Illustration of weighted network simulation

In fairmiracle/AMOUNTAIN: Active modules for multilayer weighted gene co-expression networks: a continuous optimization approach

Description

Simulate a single weighted network

Usage

networkSimulation(n, k, theta)

Arguments

n	number of nodes in the network
k	number of nodes in the module, n < k
theta	module node score follow the uniform distribution in range [theta,1]

Value

a list containing network adjacency matrix, node score and module membership

Author(s)

Dong Li, [e-mail]

Examples

pp <- networkSimulation(100,20,0.5)
moduleid <- pp[[3]]
netid <- 1:100
restp<- netid[-moduleid]
groupdesign=list(moduleid,restp)
names(groupdesign)=c('module','background')
## Not run: library(qgraph)
pg<-qgraph(pp[[1]],groups=groupdesign,legend=TRUE)
## End(Not run)

fairmiracle/AMOUNTAIN documentation built on May 16, 2019, 9:59 a.m.