netdep (version 0.1.0)

make.permute.moran: Permutation Test of Moran's I

Description

Permutation Test of Moran's I

Usage

make.permute.moran(A, Y, np = 100)

Arguments

A

[n x n] adjacency matrix or general relational weight matrix of which \(A_ij\) indicates relationship from \(i\) to \(j\).

Y

a vector of \(n\) continuous or binary, one-dimensional observations.

np

the number of permutation samples.

Value

moran

a standardized Moran's \(I\) statistic.

pval.z

p-value of a standardized Moran's \(I\) statistic assuming asymptotic normality.

pval.permute

p-value of a standardized Moran's \(I\) statistic using np independent permutation samples.

Examples

# NOT RUN {
library(netdep)
library(igraph)
library(igraphdata)
data(karate)
A = as.matrix(get.adjacency(karate, attr= "weight", sparse = TRUE)) # weighted adjacency matrix
Y = V(karate)$Faction
result = make.permute.moran(A, Y, np = 100)


# }