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<div>Hello Kamia</div><div><br></div><div><span><p class="ydp1388d4c0yiv9285056990gmail-MsoNoSpacing" style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;">Two follow-up questions:</p><p class="ydp1388d4c0yiv9285056990gmail-MsoNoSpacing" style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;">1) So, to not cluster the timepoints/channels, is it enough the change the ‘cfg.correcm’ parameter from ‘cluster’ to ‘no’ and leave the other parameters unchanged?</p><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;"> > yes i think it is. </div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;"><br></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;">2) if cfg.correctm = ‘no’ (and, of course, using cfg.method = 'montecarlo'), are significant values (i.e., ones rather than zeros) in stat.mask logical matrix already corrected for multiple comparisons? In other words, can these ‘ones’ in the matrix be considered as statically significant channel/timepoints between two conditions at a certain critical value?</div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;">>no it is not corrected then for multiple corrections. yes, the ones are significant.</div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;"><br></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;">good luck</div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;">raphael</div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;"><br></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;"><br></div></span><br></div>
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Le jeudi 6 septembre 2018 à 21:21:00 UTC+2, Kamia Kavi <kamiakavi@gmail.com> a écrit :
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<div><div id="yiv9285056990"><div><div dir="ltr"><p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;">Hey David,</p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;"> </p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;">Thank you very much for your tip as well as your paper. I
printed that and will read it tomorrow.</p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;"> </p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;">Two follow-up questions:</p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;">1) So, to not cluster the timepoints/channels, is it enough
the change the ‘cfg.correcm’ parameter from ‘cluster’ to ‘no’ and leave the
other parameters unchanged?</p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;"> </p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;">2) if cfg.correctm = ‘no’ (and, of course, using cfg.method
= 'montecarlo'), are significant values (i.e., ones rather than zeros) in stat.mask
logical matrix already corrected for multiple comparisons? In other words, can
these ‘ones’ in the matrix be considered as statically significant channel/timepoints
between two conditions at a certain critical value?</p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;"> </p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;">Best wishes,</p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;"> </p>
<p class="yiv9285056990gmail-MsoNoSpacing" style="margin:0in 0in 0.0001pt;font-size:11pt;font-family:Calibri, sans-serif;">Kamia</p></div><br clear="none"><div class="yiv9285056990gmail_quote"><div class="yiv9285056990yqt6357435405" id="yiv9285056990yqtfd58742"><div dir="ltr">On Thu, Sep 6, 2018 at 7:35 PM David Groppe <<a rel="nofollow" shape="rect" ymailto="mailto:david.m.groppe@gmail.com" target="_blank" href="mailto:david.m.groppe@gmail.com">david.m.groppe@gmail.com</a>> wrote:<br clear="none"></div><blockquote class="yiv9285056990gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;"><div dir="ltr"><div dir="ltr"><div dir="ltr">Hi Kamia,<div> The cluster-based permutation test implemented by FieldTrip is similar to the Blair & Karniski method:</div><div><br clear="none"></div><div><a rel="nofollow" shape="rect" target="_blank" href="http://www.fieldtriptoolbox.org/tutorial/cluster_permutation_timelock">http://www.fieldtriptoolbox.org/tutorial/cluster_permutation_timelock</a><br clear="none"></div><div><br clear="none"></div><div>If you set the parameters of the test such that no timepoint/electrode has any neighbours (i.e., you can't form any clusters), than it is equivalent to the Blair & Karniski method.</div><div><br clear="none"></div><div>For an explanation of how the cluster-based test differs from Blair & Karniski, I cover that in this review/tutorial paper:</div><div><br clear="none"></div><div><a rel="nofollow" shape="rect" target="_blank" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4060794/">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4060794/</a><br clear="none"></div><div><br clear="none"></div><div>cheers,</div><div> -David</div><div><br clear="none"></div><div><br clear="none"></div></div></div></div><br clear="none"><div class="yiv9285056990gmail_quote"><div dir="ltr">On Thu, Sep 6, 2018 at 10:36 AM Kamia Kavi <<a rel="nofollow" shape="rect" ymailto="mailto:kamiakavi@gmail.com" target="_blank" href="mailto:kamiakavi@gmail.com">kamiakavi@gmail.com</a>> wrote:<br clear="none"></div><blockquote class="yiv9285056990gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;"><div dir="ltr"><div dir="ltr">Dear FieldTrip-ers,<div><br clear="none"></div><div>Is there an option in FirldTrip to perform a non-parametric statistics as described in Blair and Karniski 1993?</div><div><br clear="none"></div><div>Best wishes,</div><div><br clear="none"></div><div>Kamia</div></div></div>
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