[FieldTrip] fieldtrip Digest, Vol 23, Issue 1

Mark Noordenbos mark.noordenbos at gmail.com
Mon Oct 1 14:58:10 CEST 2012


Hi Steve,

Thank you for the answer.

Kind regards,
Mark

2012/10/1 <fieldtrip-request at science.ru.nl>

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> Today's Topics:
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>    1. Re: cluster analysis (Stephen Politzer-Ahles)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sun, 30 Sep 2012 08:46:09 -0500
> From: Stephen Politzer-Ahles <politzerahless at gmail.com>
> To: fieldtrip at science.ru.nl
> Subject: Re: [FieldTrip] cluster analysis
> Message-ID:
>         <
> CAJT2k_9cJCBFKnhkSBYL7Uf3c95uOrzXWh4wNqY-CfLb3kF_Ow at mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> Hi Mark,
>
> The Fieldtrip wiki has examples of published papers that report cluster
> analyses. In what I've seen, usually just the *p* is reported (if even
> that), along with the latency and topography of the cluster. See e.g.
> Pijnacker et al. (2011, *Journal of Cognitive Neuroscience*) and Meltzer &
> Braun (2011, *Frontiers in Human Neuroscience*). There may be others in
> http://fieldtrip.fcdonders.nl/publications
>
> As for your second question, my understanding is that the test statistic
> doesn't matter (one of the points of the cluster test is that it works no
> matter which test statistic you use (Maris & Oostenveld, 2007)). Also, to
> the best of my knowledge, there are no degrees of freedom for the cluster
> test, since it's non-parametric (it's not based on the distribution of a
> test statistic, it's based on Monte Carlo estimation).
>
> Best,
> Steve
>
>
> Message: 1
> > Date: Sun, 30 Sep 2012 11:30:35 +0200
> > From: Mark Noordenbos <mark.noordenbos at gmail.com>
> > To: fieldtrip at science.ru.nl
> > Subject: [FieldTrip] cluster analysis
> > Message-ID:
> >         <CAJSb8nOoV4-sUsQUdSDVeYL=
> > 7qVRZp7goj3AhoE7xaq8tqTPsg at mail.gmail.com>
> > Content-Type: text/plain; charset="iso-8859-1"
> >
> > Dear Fieldtrippers,
> >
> > I was wondering how you report the results of the cluster analysis in
> your
> > papers. I have seen different types of how the results are reported.
> > For example, some report only the p-value of the cluster whereas others
> > report clusters as T(degrees of freedom) = [clusterstat value], p-value.
> >
> > Is T (multivariate t) the correct test statisic for the cluster analysis
> > (like F for anova)?
> > Where can I find (or calculate) the degrees of freedom of the clusterstat
> > value?
> >
> > Thanks
> >
> > Best,
> > Mark
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