[Mne_analysis] variability of average

[Gascoyne, Lauren]

Thanks for this, another quick question...when I compute the standard error of the average, can this be translated to the source space time series data when I click on a vertex?  In other words, is there a way to find the standard error across trials of a particular time series location?  Or does this need to be done before the inverse solution is calculated?

Thanks very much for your help
Lauren
________________________________________
From: mne_analysis-bounces at nmr.mgh.harvard.edu [mne_analysis-bounces at nmr.mgh.harvard.edu] on behalf of Alexandre Gramfort [alexandre.gramfort at telecom-paristech.fr]
Sent: 18 November 2014 09:43
To: Discussion and support forum for the users of MNE Software
Subject: Re: [Mne_analysis] variability of average

hi Lauren,

you need to get started with mne-python

http://martinos.org/mne/stable/python_tutorial.html

and explore : http://martinos.org/mne/stable/mne-python.html

HTH
Alex


On Mon, Nov 17, 2014 at 3:34 PM, Gascoyne, Lauren
<l.gascoyne1 at aston.ac.uk> wrote:
> Hi,
>
> Thanks for this, yes this is what I wanted.
>
> However I am unfamiliar with MNE python, do I insert the full path to the raw datafile in the brackets?
>
> Thank you
> Lauren
> ________________________________________
> From: mne_analysis-bounces at nmr.mgh.harvard.edu [mne_analysis-bounces at nmr.mgh.harvard.edu] on behalf of Alexandre Gramfort [alexandre.gramfort at telecom-paristech.fr]
> Sent: 12 November 2014 15:33
> To: Discussion and support forum for the users of MNE Software
> Subject: Re: [Mne_analysis] variability of average
>
> hi Lauren,
>
> would computing the standard deviation across epochs do what you want?
> if so you can do this with MNE.
>
> With mne-python use : epochs.standard_error()
>
> HTH
> Alex
>
>
> On Wed, Nov 12, 2014 at 3:46 PM, Gascoyne, Lauren
> <l.gascoyne1 at aston.ac.uk> wrote:
>> Hi everyone,
>>
>> Really quick question, is it possible for the MNE averager to show the variability of the average?  perhaps on a trial by trial basis?
>>
>> Thanks
>> Lauren
>>
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