[Eeglablist] Error while precomputing STUDY: NaN values in cluster.sets

[Tarik S Bel-Bahar]

Greetings,

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
bugzilla.

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>
wrote:

> 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 (
> https://www.dropbox.com/s/sw6xvujbalidg24/error_preclustering.JPG?dl=0)
> 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.
>
> Akshay
>
> On Tue, Nov 24, 2015 at 7:33 AM, Nikola Vukovic <vukovicnikola at gmail.com>
> wrote:
>
>> 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,
>>
>> Nikola
>>
>>
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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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>
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