[Mne_analysis] Selecting a subset of epochs

[Maria Hakonen]

Many thanks Alex!
I just tested and this seems to work!

-Maria

2014-10-05 18:54 GMT+03:00 Alexandre Gramfort <
alexandre.gramfort at telecom-paristech.fr>:

> hi Maria,
>
> to balance the number of epochs in each condition you can use the
> equalize_event_counts method.
>
> epochs.equalize_event_counts(...)
>
> otherwise you can index epochs with integers.
>
> epochs[[1, 4, 5]] will return a new set of 3 epochs.
>
> HTH
> Alex
>
>
> On Sun, Oct 5, 2014 at 5:47 PM, Maria Hakonen <maria.hakonen at gmail.com>
> wrote:
> > Hi all,
> >
> > I have raw MEG data that contains responses to four different conditions,
> > 120 responses to each condition. The epochs of certain condition can be
> > extracted by giving event_id as an argument to mne.Epochs. However, I
> would
> > need a file containing a subset of 40 epochs per condition (i.e. 160
> epochs
> > in total). The epochs should be selected randomly. I wonder if there is
> some
> > way to do this with mne Python?
> >
> > Thank you very much,
> > Maria
> >
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