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<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;mso-fareast-language:EN-US">Thank you so much! You understood correctly, my doubt had arisen due to the name of the function, but now I understand.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;mso-fareast-language:EN-US">Davide<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><b><span style="color:black">From:
</span></b><span style="color:black">fieldtrip <fieldtrip-bounces@science.ru.nl> on behalf of Schoffelen, J.M. (Jan Mathijs) via fieldtrip <fieldtrip@science.ru.nl><br>
<b>Date: </b>Wednesday, 5 June 2024 at 10:30</span><span style="font-family:"Arial",sans-serif;color:black"> </span><span style="color:black">AM<br>
<b>To: </b>FieldTrip discussion list <fieldtrip@science.ru.nl><br>
<b>Cc: </b>Schoffelen, J.M. (Jan Mathijs) <janmathijs.schoffelen@donders.ru.nl><br>
<b>Subject: </b>Re: [FieldTrip] Information about MANOVA function<o:p></o:p></span></p>
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<p class="MsoNormal">Hi Davide, <o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">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.<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">So, where you say: '<span style="font-size:11.0pt;color:#212529">-why an F-score is obtained for each dependent variable;’ -> this is just the way that the function works, per definition</span><o:p></o:p></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">and where you say: '-why the other dependent variables are not included in this computation’ -> well, they are, but they are indeed all treated as univariate quantities.</span><o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">I think that the ‘multivariate’ 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><o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">Perhaps Eric Maris can chime in here, he wrote the original function, I never use it myself.</span><o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">Best wishes,</span><o:p></o:p></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">Jan-Mathijs</span><o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">On 27 May 2024, at 19:48, Davide Simeone via fieldtrip <<a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a>> wrote:<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;color:#212121">Dear community, </span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;color:#212121">I would like to ask a theoretical question. In the ‘</span><span style="font-size:11.0pt;color:#212121">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="font-size:11.0pt;color:#212529">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><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">-why an F-score is obtained for each dependent variable; </span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">-why the other dependent variables are not included in this computation.</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">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><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">Greetings,</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;color:#212529">Davide</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Menlo;color:#212121"> </span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt"> <o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:Helvetica">_______________________________________________<br>
fieldtrip mailing list<br>
</span><a href="https://mailman.science.ru.nl/mailman/listinfo/fieldtrip"><span style="font-size:10.5pt;font-family:Helvetica">https://mailman.science.ru.nl/mailman/listinfo/fieldtrip</span></a><span style="font-size:10.5pt;font-family:Helvetica"><br>
</span><a href="https://doi.org/10.1371/journal.pcbi.1002202"><span style="font-size:10.5pt;font-family:Helvetica">https://doi.org/10.1371/journal.pcbi.1002202</span></a><o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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