<div dir="ltr">Dear Nikokla,<div><br></div><div>Try 'which -all eeg_options'. What does it say? I show mine below as an example of good case.<br><div><br></div><div><div>>> which -all eeg_options</div><div>/home/makoto/eeg_options.m</div><div>/data/projects/makoto/Tools/eeglab/functions/adminfunc/eeg_options.m % Shadowed </div></div></div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Dec 1, 2015 at 12:37 PM, Nikola Vukovic <span dir="ltr"><<a href="mailto:vukovicnikola@gmail.com" target="_blank">vukovicnikola@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi Makoto,<div><br></div><div>In the options pop up, precomputing ICA is checked correctly, and I think also in the option file. Here's what's inside:</div><div><br></div><div><div>% eeg_options() - eeglab option script </div><div>%</div><div>% Note: DO NOT EDIT, instead use pop_editoptions() or the menu</div><div>% /File/Maximize memory in EEGLAB gui</div><div><br></div><div>% STUDY and file options (set these checkboxes if you intend to work with studies)</div><div>option_storedisk = 1 ; % If set, keep at most one dataset in memory. This allows processing hundreds of datasets within studies.</div><div>option_savetwofiles = 1 ; % If set, save not one but two files for each dataset (header and data). This allows faster data loading in studies.</div><div>option_saveversion6 = 1 ; % If set, write Matlab files in Matlab v6.5 (max compatibility). If not, write files in Matlab v7.3 (larger than 2Gb).</div><div>% Memory options </div><div>option_single = 1 ; % If set, use single precision under Matlab 7.x. This saves RAM but can lead to rare numerical imprecisions.</div><div>option_memmapdata = 0 ; % If set, use memory mapped array under Matlab 7.x. This may slow down some computation (beta).</div><div>option_eegobject = 0 ; % If set, use the EEGLAB EEG object instead of the standard EEG structure (beta).</div><div>% ICA options </div><div>option_computeica = 1 ; % If set, precompute ICA activations. This requires more RAM but allows faster plotting of component activations.</div><div>option_scaleicarms = 1 ; % If set, scale ICA component activities to RMS (Root Mean Square) in microvolt (recommended).</div><div>% Folder options</div><div>option_rememberfolder = 1 ; % If set, when browsing to open a new dataset assume the folder/directory of previous dataset.</div><div>% Toolbox options</div><div>option_donotusetoolboxes = 0 ; % If set, do not use Matlab additional toolboxes functions even if they are present (need to restart EEGLAB).</div><div>% EEGLAB connectivity and support</div><div>option_checkversion = 1 ; % If set, check for new version of EEGLAB at startup.</div><div>option_chat = 0 ; % If set, enable EEGLAB chat - currently UCSD only - restart EEGLAB after changing that option.</div></div><span class="HOEnZb"><font color="#888888"><div><br></div></font></span><div class="gmail_extra"><span class="HOEnZb"><font color="#888888"><br clear="all"><div><div><div dir="ltr"><div><div dir="ltr">Nikola<br></div></div></div></div></div></font></span><div><div class="h5">
<br><div class="gmail_quote">On Tue, Dec 1, 2015 at 9:25 PM, Makoto Miyakoshi <span dir="ltr"><<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear Nikola,<div><br></div><div>I've seen this. In my case at least, it was because EEGLAB's default set up file was not correctly figured out, which prevented EEGLAB from creating EEG.icaact etc (do you remember that there are some items in 'memory and other options' that determines what to do with computed ica data... maybe related to that). After fixing the default parameter file, it start to work normally.</div><div><br></div><div>I don't know if this is also the case for you, but just in case please check it out.</div><div><br></div><div>Makoto </div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div>On Mon, Nov 23, 2015 at 3:33 PM, Nikola Vukovic <span dir="ltr"><<a href="mailto:vukovicnikola@gmail.com" target="_blank">vukovicnikola@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div><div dir="ltr">Dear EEGLAB list
<div><br></div><div>I would be very grateful is someone could help me out with an error I've been getting. When I try to precluster components in a given STUDY (it happens for several study files), I get the following error:</div><div><br></div><div><pre style="width:50em"><font color="#000000" size="3"><span style="white-space:pre-wrap;background-color:rgb(232,232,232)">FOR CLUSTERING, YOU MAY ONLY USE DIPOLE OR SCALP MAP CLUSTERING. This is
because some datasets do not have ICA pairs. Look for NaN values in
STUDY.cluster(1).sets which indicate missing datasets. Each column in this
array indicate datasets with common ICA decompositions.</span></font><br><br></pre><pre style="width:50em"><font face="arial, helvetica, sans-serif">Looking inside the cluster(1).sets, I can indeed find some NaN fields, suggesting not all files have associated ICA decomposition data. This, however, is puzzling because I made sure to do ICA on each subject's dataset *before* epoching, meaning that all sets for individual conditions share the same weights for a subject. After getting this error I even tried to copy the weights </font><span style="font-family:arial,sans-serif">(EEG.icawinv + EEG.icasphere + EEG.icaweights + EEG.icachansind)</span><span style="font-family:arial,helvetica,sans-serif"> from the unepoched set to all the epoched ones.</span></pre><pre style="width:50em"><font face="arial, helvetica, sans-serif">Did anyone have this error too, and how could it be solved?</font></pre><pre style="width:50em"><font face="arial, helvetica, sans-serif">Thanks for any help,</font></pre><pre style="width:50em"><font face="arial, helvetica, sans-serif">Nikola</font></pre></div></div>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div></div>
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