Dear all,<br><br>I am just about to run the ICA and I just incurred in this statement in the tutorial:<br><br>'Note: If you try to run ICA on this new dataset, the number of
dimensions of the data will have been reduced by the number of
components subtracted. We suggest again 'baseline-zeroing' the data (if
it is epoched when some components have been removed, data
epoch-baseline means may change). To run ICA on the reduced dataset, use
the <i>pca</i> option under the <font color="brown">Tools > Run ICA</font> pop-up window, type <i> 'pca', '10' </i>
in the Commandline options box to reduce the data dimensions to the
number of remaining components (here 10), before running ICA (see <a rel="nofollow" class="external text" href="http://sccn.ucsd.edu/eeglab/locatefile.php?file=runica.m">runica.m</a>.
If the amount of data has not changed, ICA will typically return the
same (remaining) independent components -- which were, after all,
already found to be maximally independent for these data.'<br><br>this is from <a href="http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA">http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA</a><br>
<br>Let's us suppose that I have just removed, say, 4 ICS comps. Then how do I check if the amount of data has changed?<br><br>Thank you very much for your help.<br><br><br>Cheers<br>Massimiliano Papera<br>