[Eeglablist] Preclustering error
mmiyakoshi at ucsd.edu
Wed Feb 11 18:19:27 PST 2015
Tell me your Matlab and EEGLAB versions.
> "Subscript indices must either be real positive integers or logicals."
I've seen this many times. I saw it even two days ago.
As I said, most likely this is due to zero trials available for one of the
within-subject conditions for at least one of the subjects.
Here is the recommend check: create another STUDY.design in which all
within-subject conditions are collapsed (you can combine them into a new
condition from GUI) and let it have only group as a condition. Do the same
precompute and clustering. Do you still see the problems?
Another check, similar to above--if you have within-subject conditions A
and B, create a STUDY design only with A or B, do the precompute and
clustering. Where do you get the error message?
On Tue, Feb 10, 2015 at 8:37 AM, Juan P Medrano <jpt73 at wildcats.unh.edu>
> Good morning EEGlab team,
> Last week, I sent an email regarding some issues I'm currently having
> with preclustering a dataset. While running preclustering on a 2x2 STUDY
> design, I got the error message "some datasets do not have ICA pairs look
> for NaN values in STUDY.cluster.set..." message. I am sure though that I
> ran the ICA on condition-unseparated data before separating out the
> conditions, and I did not run ICA on different within-subject conditions.
> To this, Mr. Miyakoshi asked me if my 2x2 design is all within subject
> conditions, and to check if all subjects have non-zero trials for all
> combinations of conditions. My study is a mixed design, with a within
> subject and between subject condition. I double checked the data entry to
> make sure I didn't leave out any group numbers for any participants, and
> I'm positive that there is no missing data.
> I'm not sure if this helps diagnosing the problem, but if I choose to
> precluster based on scalp maps or ERSPs alone, an error pops up stating
> that "Subscript indices must either be real positive integers or logicals."
> This is the first time I've encountered this error when preclustering as
> well, and it happens at the same point in processing regardless of which
> dataset was present (I thought it may have been a problem with a specific
> participant dataset, removed said participant, error just transferred to
> the participant right before it).
> Thanks in advance for any help,
> Paolo Medrano
> Graduate Student
> University of New Hampshire
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Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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