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Hi Davide,
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<div class="">I may have misunderstood the question behind your question, but indeed FieldTrip’s statfuns treat each data point (channel-time-frequency) as a single ‘univariate' variable, and compute a mass univariate statistic.</div>
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<div class="">So, where you say: '<font color="#212529" face="Aptos, sans-serif" class=""><span style="font-size: 11pt;" class="">-why an F-score is obtained for each dependent variable;</span><span style="caret-color: rgb(33, 37, 41); font-size: 14.666666984558105px;" class="">’</span><span style="font-size: 11pt;" class=""> ->
this is just the way that the function works, per definition</span></font></div>
<div class=""><font color="#212529" face="Aptos, sans-serif" class=""><span style="font-size: 11pt;" class="">and where you say: '-why the other dependent variables are not included in this computation</span><span style="caret-color: rgb(33, 37, 41); font-size: 14.666666984558105px;" class="">’</span><span style="font-size: 11pt;" class=""> ->
well, they are, but they are indeed all treated as univariate quantities.</span></font></div>
<div class=""><font color="#212529" face="Aptos, sans-serif" class=""><span style="font-size: 11pt;" class=""><br class="">
</span></font></div>
<div class=""><font color="#212529" face="Aptos, sans-serif" class=""><span style="font-size: 11pt;" class="">I think that the </span><span style="font-size: 14.666666984558105px;" class="">‘</span><span style="font-size: 11pt;" class="">multivariate</span><span style="font-size: 14.666666984558105px;" class="">’</span><span style="font-size: 11pt;" class=""> in
the name of the function refers to the multivariate nature of the design, and not to the intention of combining the multivariate data into a single test statistic.</span></font></div>
<div class=""><font color="#212529" face="Aptos, sans-serif" class=""><span style="font-size: 11pt;" class=""><br class="">
</span></font></div>
<div class=""><font color="#212529" face="Aptos, sans-serif" class=""><span style="font-size: 11pt;" class="">Perhaps Eric Maris can chime in here, he wrote the original function, I never use it myself.</span></font></div>
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<div class=""><font color="#212529" face="Aptos, sans-serif" class=""><span style="font-size: 11pt;" class="">Best wishes,</span></font></div>
<div class=""><font color="#212529" face="Aptos, sans-serif" class=""><span style="font-size: 11pt;" class="">Jan-Mathijs</span></font></div>
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<div class="">On 27 May 2024, at 19:48, Davide Simeone via fieldtrip <<a href="mailto:fieldtrip@science.ru.nl" class="">fieldtrip@science.ru.nl</a>> wrote:</div>
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<span lang="EN-US" style="color: rgb(33, 33, 33);" class="">Dear community, </span><b class=""><span style="font-size: 24pt; color: rgb(33, 33, 33);" class=""><o:p class=""></o:p></span></b></div>
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<span lang="EN-US" style="color: rgb(33, 33, 33);" class="">I would like to ask a theoretical question. In the ‘</span><span style="color: rgb(33, 33, 33);" class="">ft_statfun_depsamplesFmultivariate’ function, the statistic computation is made by a for cycle
on each sample, that would correspond, in a classical problem following the tutorial ‘</span><span style="color: rgb(33, 37, 41);" class="">Cluster-based permutation tests on time-frequency data’, to a ‘time frequency channel’ value, in the most complex case.
In a within subject experiment, I would think about each of these values as dependent variables (but maybe I’m already wrong here). Assuming that my previous affirmation is correct, I don’t understand </span><b class=""><span style="font-size: 24pt; color: rgb(33, 33, 33);" class=""><o:p class=""></o:p></span></b></div>
<div style="margin: 0cm; font-size: 11pt; font-family: Aptos, sans-serif;" class="">
<span style="color: rgb(33, 37, 41);" class="">-why an F-score is obtained for each dependent variable; </span><b class=""><span style="font-size: 24pt; color: rgb(33, 33, 33);" class=""><o:p class=""></o:p></span></b></div>
<div style="margin: 0cm; font-size: 11pt; font-family: Aptos, sans-serif;" class="">
<span style="color: rgb(33, 37, 41);" class="">-why the other dependent variables are not included in this computation.</span><b class=""><span style="font-size: 24pt; color: rgb(33, 33, 33);" class=""><o:p class=""></o:p></span></b></div>
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<span style="color: rgb(33, 37, 41);" class="">In simpler words, it seems that the function acts as doing multiple ANOVA tests, instead of a multivariate one. My comprehension of these statistics tests is limited, so I could be wrong about the assumptions that
I have done, but I would like to improve my understanding and be clarified even more if that is the case.</span><b class=""><span style="font-size: 24pt; color: rgb(33, 33, 33);" class=""><o:p class=""></o:p></span></b></div>
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<span style="color: rgb(33, 37, 41);" class="">Greetings,</span><b class=""><span style="font-size: 24pt; color: rgb(33, 33, 33);" class=""><o:p class=""></o:p></span></b></div>
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<span style="color: rgb(33, 37, 41);" class="">Davide</span><b class=""><span style="font-size: 24pt; color: rgb(33, 33, 33);" class=""><o:p class=""></o:p></span></b></div>
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<span style="font-size: 10pt; font-family: Menlo; color: rgb(33, 33, 33);" class=""> </span><span style="color: rgb(33, 33, 33);" class=""><o:p class=""></o:p></span></div>
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<o:p class=""> </o:p></div>
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