statGraph (version 0.5.1)

fraiman.test: Daniel Fraiman and Ricardo Fraiman test for network differences between groups with an analysis of variance test (ANOVA).

Description

Given a list of graphs, the test verifies if all the subpopulations have the same mean network, under the alternative that at least one subpopulation has a different mean network.

Usage

fraiman.test(G, maxBoot = 300)

Value

A list containing:

T

the value of the test.

p.value

the p-value of the test.

Arguments

G

the undirected graphs to be compared. Must be a list of lists of igraph objects or a list of lists of adjacency matrices.

maxBoot

integer indicating the number of bootstrap resamples (default is 300).

References

Fraiman, Daniel, and Ricardo Fraiman. "An ANOVA approach for statistical comparisons of brain networks", https://www.nature.com/articles/s41598-018-23152-5

Examples

if (FALSE) {
set.seed(42)

## test under H0
a <- b <- G <- list()
for(i in 1:10){
  a[[i]] <- igraph::sample_gnp(50,0.5)
  b[[i]] <- igraph::sample_gnp(50,0.5)
}
G <- list(a,b)
k1 <- fraiman.test(G)
k1

## test under H1
a <- b <- G <- list()
for(i in 1:10){
  a[[i]] <- igraph::sample_gnp(50,0.5)
  b[[i]] <- igraph::sample_gnp(50,0.6)
}
G <- list(a,b)
k2 <- fraiman.test(G)
k2
}