| 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 1.1-11
Index]