fmriica {fmri} | R Documentation |
The function performs Independent Component Analysis.
fmriica(data, m = 3, method = "spatial", xind = NULL, yind = NULL, zind = NULL, tind = NULL, ...)
data |
Observation matrix (dimension Nxd) |
m |
Number of independent components. |
method |
Either "spatial" or "temporal" . Specifies the type of ICA to perform. |
xind |
index of x-coordinates to use |
yind |
index of y-coordinates to use |
zind |
index of z-coordinates to use |
tind |
index of time points to use |
... |
further arguments to fastICA |
This is still experimental code based on the package fastICA. The package fastICA seems limited in
the data-size it can handle. xind
, yind
, zind
and tind
may be use to restrict
the analysis to a cube in space and certain time points.
The function returns a list with components
ihat |
Matrix containing the first m ICA directions as columns. |
sdev |
Standard deviations of the principal components of the thresholded ICA directions |
xhat |
first m components of the rotated data |
v |
If keepv==TRUE the set of directions v^{(k)} |
normv |
If keepv==TRUE the norm of each v^{(k)} . |
J"org Polzehl polzehl@wias-berlin.de