make.permute.Phi: Permutation Test of Phi

In youjin1207/netdep: Testing for Network Dependence

Description

This function prints out the network dependence test results for categorical observations.

Usage

make.permute.Phi(A, Y, np)

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

phi	a standardized Φ statistic.
pval.z	p-value of a standardized Φ statistic assuming asymptotic normality.
pval.permute	p-value of a standardized Φ statistic using np independent permutation samples.

Author(s)

Youjin Lee

Examples

library(netdep)
library(igraph)
library(igraphdata)
data(UKfaculty)
A = as.matrix(get.adjacency(UKfaculty, attr= "weight", sparse = TRUE)) # weighted adjacency matrix
Y = V(UKfaculty)$Group
result = make.permute.Phi(A, Y, np = 50)

youjin1207/netdep documentation built on May 30, 2019, 12:48 p.m.