testPCA: PCA-based test for the equality of connectivity

In detectR: Change Point Detection

PCA-based test for the equality of connectivity

Description

This function performs PCA-test for testing the equality of connectivity in two fMRI signals

Usage

testPCA(subY1, subY2, L = 2, nlag, diagTF = TRUE)

Arguments

subY1	a sample of size length*dim
subY2	a sample of size length*dim
L	the number of factors
nlag	is the number of ACF lag to be used in the test, default is 2, Default is nlag = floor(N^(1/3))
diagTF	include diagonal term of covariance matrix or not

Value

tstat Test statistic

pval Returns the p-value

df The degree of freedom in PCA-best test

L The number of factors used in the test

diagTF If true, the diagonal entry of covariance matrix is used in testing

Examples

test3 = testPCA(testsim$X, testsim$Y, L=2)

detectR documentation built on June 22, 2024, 12:23 p.m.