[Eeglablist] Merging two datasets *after* appending eventlists

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Thu Feb 9 19:18:32 PST 2017


Dear Grusha,

> after appending eventlists on both the sets

First of all, why do you need to do it manually? I thought EEGLAB merge
dataset operation can do it well (slow though). Please tell me more about
this part.

Makoto

On Wed, Feb 8, 2017 at 7:19 AM, Grusha Prasad <grusha.prasad at gmail.com>
wrote:

> Hi!
>
> I've been trying to merge two datasets using pop_mergeset() after
> appending eventlists on both the sets and I get this error at line 275:
> Reference to non-existent filed 'urevent'. I read through the thread
> "Merging two datasets with unequal number of events" and from what I
> gathered, it seemed like the issue had to do with eventlist somehow
> changing the 'urevent' structure. While there are fewer events in my event
> structure when compared to my urevent structure (because while binning it,
> I am ignoring my 'distractor' trigger), this doesn't seem to be the problem
> - because the problem persists even when I try merging sets before I bin
> them (so 'urevent' has the same number of events as the 'event' structure).
>
> Though the 'urevent' isn't missing, I tired the proposed solution in the
> thread and ran
>
> EEG = eeg_checkset(EEG, 'makeur')
>
> This did not work either. So I went in to the script for pop_mergeset()
> and commented out lines 254 to 294 (the part which seems to be trying to
> concatenate the urevents). This seems to do the trick. The files merge and
> the event structure has the right number of events. However, as expected,
> the new EEG structure has the urevents only from the first set. From the
> little I understand though, it seems to me like this wouldn't be a problem
> because all further steps (Artifact detection and computing averaged ERPs)
> seem to use just the event structure. Is this true? Or will there be any
> problems with doing this that I am missing?
>
> Thank you!
> Grusha.
>
>
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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