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Thanks Eelke
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<div>If this can help someone else, here is the correct code:</div>
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<div style="margin: 0px; font-size: 10px; font-family: Courier; "><span class="Apple-tab-span" style="white-space:pre"></span>arrondi=roundn(size(cleandata.trial,2)/2, 0);</div>
<div style="margin: 0px; font-size: 10px; font-family: Courier; "> a = randperm(size(cleandata.trial,2));</div>
<div style="margin: 0px; font-size: 10px; font-family: Courier; "> r1=a(1:arrondi);</div>
<div style="margin: 0px; font-size: 10px; font-family: Courier; "> r2=a(arrondi+1:end);</div>
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<div style="margin: 0px; font-size: 10px; font-family: Courier; "> cfg = [];</div>
<div style="margin: 0px; font-size: 10px; font-family: Courier; "> cfg.trials = r1;</div>
<div style="margin: 0px; font-size: 10px; font-family: Courier; "> avgFCIndexHALF1 = ft_timelockanalysis(cfg, cleandata);</div>
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<div style="margin: 0px; font-size: 10px; font-family: Courier; "> cfg = [];</div>
<div style="margin: 0px; font-size: 10px; font-family: Courier; "> cfg.trials = r2;</div>
<div style="margin: 0px; font-size: 10px; font-family: Courier; "> avgFCIndexHALF2 = ft_timelockanalysis(cfg, cleandata);</div>
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<div>Best, </div>
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<div>Emilie</div>
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<p class="MsoNormal"><span lang="FR">---------------------------------------------<o:p></o:p></span></p>
<p class="MsoNormal"><b><span lang="FR">Emilie Caspar<o:p></o:p></span></b></p>
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<p class="MsoNormal"><span lang="FR">Aspirante FNRS - Ph.D. Student <o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="FR">Consciousness, Cognition & Computation Group (CO3)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="FR">Centre de Recherche Cognition et Neurosciences (CRCN)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="FR">ULB Neurosciences Institute (UNI)<o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="FR">Université Libre de Bruxelles <o:p></o:p></span></p>
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<div>Le 21 nov. 2014 à 10:29, Eelke Spaak <<a href="mailto:eelke.spaak@donders.ru.nl">eelke.spaak@donders.ru.nl</a>> a écrit :</div>
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<blockquote type="cite">Dear Emilie,<br>
<br>
You are not providing a FT data structure to ft_timelockanalysis<br>
(which you should), instead you are providing the raw cell array of<br>
trials (which you shouldn't). Hence, FT complains that the data is not<br>
in a structure that it can work with.<br>
<br>
There is a cfg-option cfg.trials, which you might like to use instead.<br>
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Best,<br>
Eelke<br>
<br>
On 21 November 2014 10:09, Caspar, Emilie <<a href="mailto:e.caspar@ucl.ac.uk">e.caspar@ucl.ac.uk</a>> wrote:<br>
<blockquote type="cite">Dear Fieldtrippers,<br>
<br>
I have a sample of 350 trials for one condition, but for statistical<br>
analysis reasons I would like to split randomly this sample in two and<br>
average these two parts.<br>
<br>
so, I used the "randsample" matlab function which seems to work very well<br>
and then I averaged this selected sample:<br>
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randomhalf = randsample(cleandata.trial, 175);<br>
avgFCMiddleRing = ft_timelockanalysis(cfg, randomhalf);<br>
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<br>
However, I have the following error message :<br>
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Error using ft_checkdata (line 366)<br>
This function requires raw or comp data as input.<br>
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Error in ft_timelockanalysis (line 105)<br>
data = ft_checkdata(data, 'datatype', {'raw', 'comp'}, 'feedback', 'yes',<br>
'hassampleinfo', 'yes');<br>
<br>
Does anyone have a solution to fix the problem?<br>
<br>
Thank you very much!<br>
<br>
Emilie<br>
<br>
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