ICAspat {AnalyzeFMRI}R Documentation

ICAspat

Description

This function performs a spatial ICA

Usage

ICAspat(X,n.comp,alg.typ="parallel",centering=TRUE,hp.filter=TRUE)

Arguments

X

a matrix of size tm x vm which contains the functionnal images

n.comp

number of maximally independent components to extract

alg.typ

if 'alg.typ == "parallel"' the components are extracted simultaneously (the default). if 'alg.typ == "deflation"' the components are extracted one at a time.

centering

Logical. Should we center the data first. Centering will be performed by firstly removing the column mean.

hp.filter

Logical. Should we perform high-pass filtering on the data

Value

A list containing

time.series

estimated mixing matrix of size tm x n.comp

spatial.components

estimated source matrix of size n.comp x vm

See Also

ICAtemp

Examples

# TODO!!

[Package AnalyzeFMRI version 1.1-24 Index]