[Eeglablist] STUDY erpimage

[Makoto Miyakoshi]

Dear David,

Sorry for the slow response.

> for s=1:numel(CURRENTSET)

eeg_countepochs(ALLEEG(1, s), 'eventtype')

end

I've never used that function. Basically it's size(EEG.data,3). You know
that.

> So, what am I doing wrong here?


Hmm... I have no idea. I personally don't use this option, so unfortunately
not with much experience.


std_erpimage() is a relatively new function, supported just a few years
ago. Maybe that's why it's not so robust?


Please file the problems (you can actually copy and paste this email) to
eeglab bugzilla

https://sccn.ucsd.edu/bugzilla/

Thank you for your patience and cooperation.


Makoto


On Mon, May 25, 2015 at 12:55 PM, david grahms <david.grahms at gmail.com>
wrote:

> Hello
>
>
> I have a problem calculating the Study erp image.
>
> To find the maximum number of lines to use for a specific condition, I
> run:
>
> for s=1:numel(CURRENTSET)
>
> eeg_countepochs(ALLEEG(1, s), 'eventtype')
>
> end
>
> I find that I have a minimum of 56 trials in the specific condition. To be
> able to precompute the erpimage for some reason I have to reduce that to 54
> lines. I phase sort and it computes fine and plotting works. I rerun the
> precompute and reduce the number of lines to 40 and add smoothing factor of
> 10 to the data. It computes fine, but I’m unable to plot due to:
>
>
> EEGLAB error in function std_readfile() at line 257:
>
> Subscripted assignment dimension mismatch
>
>
>
> I have reduced number of lines to 30 and 20 and it is still the same.
>
>
>
> Also, when I add the option to ‘concatenate’ nothing happens. There is
> some activation on the processors for a second and then nothing. Matlab
> just prompts a new line. The concatenate changes to ‘on’ in STUDY.etc.erpimparams.
> If I try to plot I get:
>
>
>
> EEGLAB error in function std_erpimageplot() at line 52:
>
> Reference to non-existing field ‘statistics’
>
>
>
> So, what am I doing wrong here?
>
> This is what I use (and with ‘concatenate’ ‘on’, and no smoothing):
>
>
> std_precomp(STUDY, ALLEEG, 'components', 'recompute', 'on', 'erpim', 'on',
> 'erpimparams', {'nlines' 40 'smoothing' 10 'phasesort' [0 0 4 40 180]})
>
>
>
> Thank you
>
>
>
>
>
>
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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