<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Dear Julian,<div class=""><br class=""></div><div class="">Thank you for your effort. However, that is what MATLAB can do by using the function “rm” and “ranova”. So, I think the cluster permutation approach should be used while applying a N - way repeated measures ANOVA.</div><div class=""><br class=""></div><div class="">Regards</div><div class=""><br class=""><div apple-content-edited="true" class="">
<div class="">Aykut Eken, PhD<br class=""><br class="">Düzce University<br class="">Faculty of Engineering,<br class="">Biomedical Engineering Department<br class="">Konuralp Campus, 81620<br class="">Düzce / Turkey.<br class="">Tel : 0380 542 11 00 / 4546<br class="">Fax : 0380 542 10 37<br class="">e-mail : <a href="mailto:aykuteken@duzce.edu.tr" class="">aykuteken@duzce.edu.tr</a><br class="">e-mail : <a href="mailto:ekenaykut@gmail.com" class="">ekenaykut@gmail.com</a></div>
</div>
<br class=""><div><blockquote type="cite" class=""><div class="">On 21 Dec 2016, at 18:17, Julian Keil <<a href="mailto:julian.keil@gmail.com" class="">julian.keil@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><span style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; float: none; display: inline !important;" class="">Dear Lin, Aykut and Alex,</span><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class=""><br class=""></div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">I wrote a fieldtrip-compatibe wrapper function to the ANOVA-Functions by Trujillo-Ortiz (the originals can be found on the Matlab File Exchange) which can handle n-way repeated ANOVAs.</div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">These functions can handle timlock, TFR or source-level FT structures.</div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">The code can be found on by Github: <a href="https://github.com/juliankeil/VirtualTools" style="color: rgb(149, 79, 114); text-decoration: underline;" class="">https://github.com/juliankeil/VirtualTools</a></div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">Please be aware, that these ANOVA-functions in DO NOT use a permutation approach or provide any correction based on clusters. All correction for multiple comparisons has to be done after running the ANOVA.</div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class=""><br class=""></div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">Some recent examples in which these functions were used are:</div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">Keil, J., Pomper, U., Senkowski, D., 2016. Distinct patterns of local oscillatory activity and functional connectivity underlie intersensory attention and temporal prediction. … Cortex 74, 277–288. doi:10.1016/j.cortex.2015.10.023<br class="">Roa Romero, Y., Keil, J., Balz, J., Gallinat, J., Senkowski, D., 2016a. Reduced frontal theta oscillations indicate altered crossmodal prediction error processing in schizophrenia. J Neurophysiol 116, 1396–1407. doi:10.1152/jn.00096.2016<br class="">Roa Romero, Y., Keil, J., Balz, J., Niedeggen, M., Gallinat, J., Senkowski, D., 2016b. Alpha-Band Oscillations Reflect Altered Multisensory Processing of the McGurk Illusion in Schizophrenia. Frontiers in Human Neuroscience 10, 41. doi:10.3389/fnhum.2016.00041</div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class=""><br class=""></div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">Maybe these reference suggested by an anonymous reviewer could be helpful in the implementation of a permutation approach:</div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class=""><div style="margin: 0px 0px 0px 20px; text-indent: -20px; font-style: normal; font-variant: normal; font-weight: normal; font-size: 12px; line-height: normal; font-family: Helvetica;" class="">Anderson, M., Braak, C., 2002. Permutation tests for multi-factorial analysis of variance. Journal of Statistical Computation and Simulation 73, 85–113.</div><div style="margin: 0px 0px 0px 20px; text-indent: -20px; font-style: normal; font-variant: normal; font-weight: normal; font-size: 12px; line-height: normal; font-family: Helvetica;" class="">Anderson, M.J., 2001. Permutation tests for univariate or multivariate analysis of variance and regression. Can. J. Fish. Aquat. Sci. 58, 626–639. doi:10.1139/cjfas-58-3-626</div></div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class=""><br class=""></div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">Good luck,</div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class=""><br class=""></div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">Julian</div><div style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class=""><br class=""><div class=""><div class="">Am 21.12.2016 um 14:34 schrieb 蔡林:</div><br class="Apple-interchange-newline"><blockquote type="cite" class=""><div class="">Me too, fieldtrip probably cannot investigate the interactions using cluster-based permutation test.</div><div class="">Who can provide alternative methods to solve this kind of problem?</div><div class=""><br class=""></div><div class=""><br class="">lin<br class=""></div><blockquote class="ReferenceQuote" name="replyContent" style="padding-left: 5px; margin-left: 5px; border-left-color: rgb(182, 182, 182); border-left-width: 2px; border-left-style: solid; margin-right: 0px;">-----原始邮件-----<br class=""><b class="">发件人:</b><span id="rc_from" class="">"Aykut Eken" <<a href="mailto:ekenaykut@gmail.com" style="color: rgb(149, 79, 114); text-decoration: underline;" class="">ekenaykut@gmail.com</a>></span><br class=""><b class="">发送时间:</b><span id="rc_senttime" class="">2016-12-21 20:41:11 (星期三)</span><br class=""><b class="">收件人:</b><span class="Apple-converted-space"> </span>"FieldTrip discussion list" <<a href="mailto:fieldtrip@science.ru.nl" style="color: rgb(149, 79, 114); text-decoration: underline;" class="">fieldtrip@science.ru.nl</a>><br class=""><b class="">抄送:</b><span class="Apple-converted-space"> </span><br class=""><b class="">主题:</b><span class="Apple-converted-space"> </span>Re: [FieldTrip] 2x3 ANOVA depsamplesHotTsqr<br class=""><br class=""><div class="">I also have the same problem. Does fieldtrip have a statistical analysis function for N- way ANOVA?<br class=""><br class="">Aykut</div><div class=""><br class="">El 21 dic 2016, a las 15:09, Alex Sel <<a href="mailto:alex.sel@psy.ox.ac.uk" target="_blank" style="color: rgb(149, 79, 114); text-decoration: underline;" class="">alex.sel@psy.ox.ac.uk</a>> escribió:<br class=""><br class=""></div><blockquote type="cite" class=""><div class=""><div class="WordSection1" style="page: WordSection1;"><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class="">Dear list,<o:p class=""></o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><o:p class=""> </o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class="">I have an 2x3 ANOVA design and I would like to test the interactions using the cluster-based permutation test. I would like to use the statfun depsamplesHotTsqr. However, it seems that it has not been implemented yet.<o:p class=""></o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><o:p class=""> </o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class="">Has anyone used the depsamplesHotTsqr and knows how to implement it?<o:p class=""></o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><o:p class=""> </o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class="">Any insights on this would be much appreciated.<o:p class=""></o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><o:p class=""> </o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class="">Thank you.<o:p class=""></o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><o:p class=""> </o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class="">Best wishes,<span class="Apple-converted-space"> </span><o:p class=""></o:p></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span class="">Alex Sel, PhD<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span class="">Postdoctoral Researcher<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span class="">Department of Experimental Psychology,<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span class="">University of Oxford,<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span class="">9 South Parks Road,<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span class="">OX1 3UD<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span class="">Tel: 01865 277 229<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span class="">Email:<span class="Apple-converted-space"> </span><a href="mailto:Alex.sel@psy.ox.ac.uk" target="_blank" style="color: rgb(149, 79, 114); text-decoration: underline;" class="">Alex.sel@psy.ox.ac.uk</a><o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><o:p class=""> </o:p></div></div></div></blockquote><blockquote type="cite" class=""><div class=""><span class="">_______________________________________________</span><br class=""><span class="">fieldtrip mailing list</span><br class=""><span class=""><a href="mailto:fieldtrip@donders.ru.nl" target="_blank" style="color: rgb(149, 79, 114); 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