[FieldTrip] depsamplesF

[Olga Sysoeva]

Hi, Tom,

I guess if you do cluster analysis, which is based on permutation  
tests you do not need any correction like.
Cluster-based statistics just deal with multiple comparison problem  
differently (Monte-Carlo randomization, permutation tests and examine  
the probability of your cluster among the random ones). Clusters may  
be formed based on time, space/frequency adjacency.

Best Regards,
Olga.

On 27.01.2011, at 2:26, Tom Campbell wrote:

> Dear Eric Maris, Robert Oostenveld and colleagues,
>
> I write with some queries with reference to your previous  
> correspondence on the Fieldtrip listserv and would very much  
> appreciate if you could please answer them.
>
> I am trying to use Fieldtrip to analyse timelocked ERP data from  
> what is a 16(participant: [1:16]) X2(Background: congruent,  
> incongruent)x2(Stimulus: Animal, Vehicle) design. The code seems to  
> runing well treating this as a 16(participant: [1:16]) X4(Visual  
> stimulus: animal-congruent background, animal-incongruent  
> background, vehicle-congruent, vehicle-incongruent )design with 4  
> conditions, though I haven't looked at the results of the tests yet.  
> If I then run cluster analyses of differences of theoretical  
> interest via depsamplest, please how would I bonferroni correct? I  
> am interested in what clusters exist in the background and stimulus  
> main effects and their background X stimulus interaction. Please is  
> this possible in fieldtrip to use depsamplesF to work with a  
> Participant X "2-way" design?
>
> Best regards,
>
> Tom Campbell.
>
>
>
>
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