[Eeglablist] Create STUDY one set file per participant containing all conditions

[Makoto Miyakoshi]

Dear Komono,

Sorry for belated response. Thank you also for the screenshots. Very easy
to understand.
I have never specified 'condition' in creating STUDY. It does not make
sense if you have multiple conditions, isn't it? So leave 'condition'
empty. STUDY.design can specify the factorial design using the multiple
conditions correctly.

> Is there a link to a tutorial on this?  I've searched around but can't
seem to source one.

The tutorial is old and may not be updated... that's my impression.
Originally, to make a STUDY, one .set files per condition was the rule.
However, after implementing STUDY.design, this was changed. So if you don't
see description about STUDY.design in the manual, it's just old.

Makoto



On Wed, Feb 22, 2017 at 6:12 AM, Komono Flick <komonoflick at gmail.com> wrote:

> Hi,
>
> Apologies if this is a duplicate mail, I sent it previously before
> registering to the list.
>
> I see on a few sources (like Makoto's Pipeline) that it's now
> encouraged to use a single .set file for for each participant in a
> STUDY design, i.e., no longer a single .set file per experimental
> condition. However, I can't seem to get things to work when I try
> this.  I load files (containing two conditions) into a study, and I
> still only see 1 condition specified in the study overview.
>
> Is there a link to a tutorial on this?  I've searched around but can't
> seem to source one.
>
> To practice, I'm using a sample EEG dataset with two conditions, with
> numerical stimulus triggers 3 and 4.
>
> I've tried using EDIT -> DATASET INFO, and specifying "Task Condition"
> to be [3,4] - and then entering this same array in the "condition"
> column when creating a new STUDY set.
>
> I.e. : https://s14.postimg.org/fwqgf1ko1/image.png
>
> and then:
>
> https://s15.postimg.org/5ldw0mp0r/image_1.png
>
> Am I just getting the syntax wrong, or am I going about this in
> completely the wrong way?
>
> Thanks,
> Kom
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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