<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Dear Hui,<div><br></div><div>as the warning says, this is probably due to some problem with Matlab when computing the rank of your Matrix. You should upgrade to a newer Matlab version and this should be fine.</div><div><br></div><div>Best regards,</div><div><br></div><div>Arno<br><div><br><div><div>On Feb 4, 2011, at 12:39 PM, hui zhang wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite">Hi,<br><br>When using the function of pop_runica to run ica on epoched data, I got the following message: <br><i><br>Attempting to convert data matrix to double precision for more accurate ICA results.<br>Warning: fixing rank computation inconsistency (39 vs 38) most likely because running under Linux 64-bit MatlabData rank (39) is smaller than the number of channels (62).<br>
<br>Input data size [39,654000] = 39 channels, 654000 frames/nAfter PCA dimension reduction,<br> finding 39 ICA components using extended ICA.</i><br><br>The matlab code: <br><i>eeglab;<br>EEG = pop_loadset('filename',filename);<br>
EEG = pop_runica(EEG, 'icatype', 'runica', 'chanind',[2:63], 'extended', 1);</i><br><br>I ran this code on datasets of previous project, it seems fine. <br>The version of eeglab installed on my computer is: eeglab9.0.1.2b.<br>
<br>Does anyone have any idea on this? Is there any ways I can turn the pca off in my code? <br><br>Thanks in advance!<br><br>-Hui<br>
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