[Eeglablist] Error while precomputing STUDY: NaN values in cluster.sets
vukovicnikola at gmail.com
Tue Dec 1 02:17:24 PST 2015
Apologies, I sent the wrong link there. Here's the bug for the missing NaN
On Tue, Dec 1, 2015 at 5:45 AM, Tarik S Bel-Bahar <tarikbelbahar at gmail.com>
> I've seen this several times, and it's led to a lot of wasted time. I'm
> sure others have come across it before, perhaps it was already mentioned
> it on eeglablist posts, did you check?.
> This issue sounds like a bug, if so it should be reported to the EEGLAB
> I believe that the problem is that eeglab is looking for exactly matching
> ICs across datasets that it considers to be coming from one ID or subject.
> I would also check if there is not some special information (such as ID or
> group) that is being read incorrectly and affecting how STUDY thinks about
> organizing the ICs.
> Try uploading a small study of short datasets with the ICs, which
> replicates the problem when STUDY is set up.
> On Wed, Nov 25, 2015 at 10:41 AM, Akshay Maggu <akshaymaggu86 at gmail.com>
>> Hi Nikola,
>> I am facing the same issue. All pre-processing steps carefully followed
>> and ICAs done for all subjects. But still this 'Na' error (
>> pops up saying that some of the datasets have ICA decompositions missing.
>> Let's see what experts on the list have to say about it.
>> On Tue, Nov 24, 2015 at 7:33 AM, Nikola Vukovic <vukovicnikola at gmail.com>
>>> Dear EEGLAB list
>>> 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:
>>> 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.
>>> 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 (EEG.icawinv + EEG.icasphere + EEG.icaweights + EEG.icachansind) from the unepoched set to all the epoched ones.
>>> Did anyone have this error too, and how could it be solved?
>>> Thanks for any help,
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>> Akshay Raj Maggu,
>> PhD Candidate,
>> Laboratory for Language, Learning and the Brain,
>> Department of Linguistics and Modern Languages,
>> The Chinese University of Hong Kong,
>> Hong Kong.
>> Webpage: http://www.cuhk.edu.hk/lin/new/people/students/maggu/
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