Hi Steve,<div><br></div><div>Thank you for the answer.</div><div><br></div><div>Kind regards,</div><div>Mark<br><br><div class="gmail_quote">2012/10/1 <span dir="ltr"><<a href="mailto:fieldtrip-request@science.ru.nl" target="_blank">fieldtrip-request@science.ru.nl</a>></span><br>
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Today's Topics:<br>
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1. Re: cluster analysis (Stephen Politzer-Ahles)<br>
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Message: 1<br>
Date: Sun, 30 Sep 2012 08:46:09 -0500<br>
From: Stephen Politzer-Ahles <<a href="mailto:politzerahless@gmail.com">politzerahless@gmail.com</a>><br>
To: <a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
Subject: Re: [FieldTrip] cluster analysis<br>
Message-ID:<br>
<<a href="mailto:CAJT2k_9cJCBFKnhkSBYL7Uf3c95uOrzXWh4wNqY-CfLb3kF_Ow@mail.gmail.com">CAJT2k_9cJCBFKnhkSBYL7Uf3c95uOrzXWh4wNqY-CfLb3kF_Ow@mail.gmail.com</a>><br>
Content-Type: text/plain; charset="utf-8"<br>
<br>
Hi Mark,<br>
<br>
The Fieldtrip wiki has examples of published papers that report cluster<br>
analyses. In what I've seen, usually just the *p* is reported (if even<br>
that), along with the latency and topography of the cluster. See e.g.<br>
Pijnacker et al. (2011, *Journal of Cognitive Neuroscience*) and Meltzer &<br>
Braun (2011, *Frontiers in Human Neuroscience*). There may be others in<br>
<a href="http://fieldtrip.fcdonders.nl/publications" target="_blank">http://fieldtrip.fcdonders.nl/publications</a><br>
<br>
As for your second question, my understanding is that the test statistic<br>
doesn't matter (one of the points of the cluster test is that it works no<br>
matter which test statistic you use (Maris & Oostenveld, 2007)). Also, to<br>
the best of my knowledge, there are no degrees of freedom for the cluster<br>
test, since it's non-parametric (it's not based on the distribution of a<br>
test statistic, it's based on Monte Carlo estimation).<br>
<br>
Best,<br>
Steve<br>
<br>
<br>
Message: 1<br>
> Date: Sun, 30 Sep 2012 11:30:35 +0200<br>
> From: Mark Noordenbos <<a href="mailto:mark.noordenbos@gmail.com">mark.noordenbos@gmail.com</a>><br>
> To: <a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
> Subject: [FieldTrip] cluster analysis<br>
> Message-ID:<br>
> <CAJSb8nOoV4-sUsQUdSDVeYL=<br>
> <a href="mailto:7qVRZp7goj3AhoE7xaq8tqTPsg@mail.gmail.com">7qVRZp7goj3AhoE7xaq8tqTPsg@mail.gmail.com</a>><br>
> Content-Type: text/plain; charset="iso-8859-1"<br>
><br>
> Dear Fieldtrippers,<br>
><br>
> I was wondering how you report the results of the cluster analysis in your<br>
> papers. I have seen different types of how the results are reported.<br>
> For example, some report only the p-value of the cluster whereas others<br>
> report clusters as T(degrees of freedom) = [clusterstat value], p-value.<br>
><br>
> Is T (multivariate t) the correct test statisic for the cluster analysis<br>
> (like F for anova)?<br>
> Where can I find (or calculate) the degrees of freedom of the clusterstat<br>
> value?<br>
><br>
> Thanks<br>
><br>
> Best,<br>
> Mark<br>
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