[Eeglablist] std_erpimage error mesage

[Makoto Miyakoshi]

Dear Lucia,

You need to know (or the application should figure it out) the minimum
number of available trials across all conditions and subjects. To code it,
it should be something like this:

numTrialList = zeros(length(ALLEEG),3)) % if there are 3 conditions
for n = 1:length(ALLEEG)
tmpEEG = ALLEEG(1,n);
allEventTypes = {tmpEEG.event.type}';
numTrialList(n,1) = find(strcmp(allEventTypes, 'event1')));
numTrialList(n,2) = find(strcmp(allEventTypes, 'event2')));
numTrialList(n,3) = find(strcmp(allEventTypes, 'event3')));
end
min(numTrialList(:))

I wrote it without opening Matlab so there may be mistake.

I believe this should be really implemented in EEGLAB so that the
application suggests the upper bound. Ramon, would you please add it to
Bugzilla?

Makoto




On Mon, Jun 8, 2015 at 8:40 AM, Li, Lucia M <lucia.li at imperial.ac.uk> wrote:

>  Dear eeglab users & experts,
>
>  I was wondering if someone might be able to help me decipher this error
> message.
>
>  I have datasets from 12 people which I wish to combine into a study.
> There are 15 different bin types.
>
>  Having created my study by loading all the datasets in, I tried to
> "precompute channel measures". I attempted to pre-compute: ERP, Power
> spectrum, ERP-image, ERSP & ITCs. I clicked 'Test' as well to make sure
> that the parameters I entered produced sensible results. All other options
> I left as default ('Spherical interpolation' ticked, 'Remove ICA
> artifactual components pre-tagged' and 'Remove artifactual ICA cluster'
> unticked).
>
>  Unfortunately, the pre-compute throws up this error message:
>
>  "The default number of ERPimage lines is too large for one of the
> dataset, {Error occurred in function std_erpimage() at line 169'
>
>  I'm not entirely sure what the problem is. I have also tried to
> pre-compute with fewer bin types and it's worked perfectly.
>
>  My two thoughts about why the full study won't precompute properly:
> - some of the bins overlap e.g. a bin for responses from the first half of
> the task, and a bin for left hand responses from the first half of the task
> - some bins have <10 trials
>
>  Any thoughts and help on this matter greatly appreciated!
>
>  Kind regards,
> Lucia
>
>  ---
> L M Li
> Wellcome Trust Clinical Fellow
> Imperial College London
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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