[FieldTrip] unequal sample number across trials after downsampling

[Frédéric Roux]

You could explicitly equate all time axes in your data structure prior to resampling:

data.time(1:end) = data.time(1); (or so).

Thanks JM - I think this will solve my problem!

--
FR

----- Original Message -----
From: "J.M. Schoffelen (Jan Mathijs)" <jan.schoffelen at donders.ru.nl>
To: "FieldTrip discussion list" <fieldtrip at science.ru.nl>
Sent: Friday, June 5, 2015 12:05:05 PM
Subject: Re: [FieldTrip] unequal sample number across trials after downsampling

Hi Fred,
You could explicitly equate all time axes in your data structure prior to resampling:

data.time(1:end) = data.time(1); (or so).

Assuming the time axes are equal, that is.
Otherwise, just remove the last sample from each of the 2401 sample trials :-).
JM


On Jun 5, 2015, at 11:58 AM, Frédéric Roux <f.roux at bcbl.eu> wrote:

> Dear all,
> 
> I've encountered an error in my analysis pipeline due to the fact
> that after calling ft_resampledata I am left with an unequal number
> of samples across trials.
> 
> For example length(meg_data.trial{1}) = 2401 whereas length(meg_data.trial{2}) = 2400
> 
> I am speculating that this is due to differences in rounding and wanted
> to ask if there's a simple way of solving this problem?
> 
> Any help or suggestions would be highly appreciated.
> 
> Best,
> 
> Fred 
> 
> --
> Frédéric Roux
> Postdoctoral Scientist, Marie-Curie fellow
> BCBL. Basque Center on Cognition, Brain % Language.
> 
> f.roux at bcbl.eu
> Tel: +34 943 309 300 Ext 211
> Fax: +34 943 309 052
> 
> Legal disclaimer/Aviso legal/Lege-oharra: www.bcbl.eu/legal-disclaimer
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> 
> 
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