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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Hi Jia, (and hi Raquel!)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Perhaps easiest is if you get all your subjects in a MATLAB struct, e.g. data{1}, data{2}, etc. Then you can just enter that structure
in the FieldTrip functions that take multiple dataset such as ft_timelockgrandaverage and ft_freqanalysis, with e.g. timelockgrandaverage(cfg,data{:})<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Cheers,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">stephen<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">From:</span></b><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif"> fieldtrip-bounces@science.ru.nl [mailto:fieldtrip-bounces@science.ru.nl]
<b>On Behalf Of </b>Raquel bibi Cohen<br>
<b>Sent:</b> 02 October 2015 06:17<br>
<b>To:</b> FieldTrip discussion list <fieldtrip@science.ru.nl><br>
<b>Subject:</b> Re: [FieldTrip] ft_sourcegrandaverage<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Hi Jia,<o:p></o:p></p>
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<p class="MsoNormal">Here is the Matlab code I wrote to automate this work for a study when this came up as an issue for me. I don't have Matlab on my iPad ;) forgive me - the condition and trial types make my example unnecessarily complicated. In the
following example replace commandA with ft_source... This assumes you have loaded the individual data into the workspace, and you're familiar with eval and sprintf. It can be annoying trying to get it right the first time - but well worth it in the end. I
hope it helps you. <o:p></o:p></p>
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<p class="MsoNormal">for itype = 1:3% loop over the target, predistractor, postdistractor, for shifting the timelock data and two distractor types conditions<br>
for icond = 1:4 % congruent incongruent neutral<br>
%cfg.keeptrials = 'yes';<br>
commandA = ['grand_avg_A(' int2str(floor((itask+1)/2)) ',' int2str(itype) ',' int2str(icond) ') = ft_timelockgrandaverage(cfg'];<br>
for isub = 1:length(subj)<br>
commandA = [commandA sprintf(',%stimelock{%d,%d,%d}', subj{isub}, floor((itask+1)/2), itype, icond)]; %all subject grand average<br>
ends<o:p></o:p></p>
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<p class="MsoNormal">commandA = [commandA ')'];<br>
cfg=[];<br>
cfg.keepindividual = 'yes';<br>
cfg.latency = [-.4 1];<br>
eval(commandA)<br>
end<o:p></o:p></p>
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<p class="MsoNormal"><br>
Sent from my iPad<o:p></o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><br>
On Sep 30, 2015, at 10:54 AM, Wu, Jia <<a href="mailto:jia.wu@yale.edu">jia.wu@yale.edu</a>> wrote:<o:p></o:p></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Tahoma",sans-serif;color:black">Hi,<br>
<br>
If I have 100 subjects, do I have to do:<br>
grandavg = ft_sourcegrandaverage(cfg,s1,s2,s3,s4,s5,s6........s100)?<br>
<br>
Is there a better way? Or is it not what I should be doing?<br>
<br>
best,<br>
-jia<o:p></o:p></span></p>
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<p class="MsoNormal">_______________________________________________<br>
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