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<p style="margin-top:0;margin-bottom:0">Hello Fieldtrip community!</p>
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<p style="margin-top:0;margin-bottom:0">I want to do TFR analysis on datasets with trials with different lengths (as I'm analysing the time period from the onset of a stimulus until participant's response, which differs from trial to trial).</p>
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<p style="margin-top:0;margin-bottom:0">These are the parameters:</p>
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<div>cfgft = [];</div>
<div>cfgft.method = 'tfr';</div>
<div>cfgft.output = 'pow';</div>
<div>cfgft.foi = exp(linspace(log(2),log(45),50));</div>
<div><b>cfgft.toi = [];</b></div>
<div>cfgft.width = 6;</div>
<div>cfgft.keeptrials = 'yes';</div>
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<p style="margin-top:0;margin-bottom:0">The result I get from the freqanalysis (powspctrm) is a
<b>trial x chan x freq x time </b>matrix, in which the <b>time </b>is the time of the trial with the largest duration. The datapoints of the trials with smaller durations are filled with zeros.</p>
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<p style="margin-top:0;margin-bottom:0">I would prefer to get the powspctrm without the zeros at the end, but maybe I can just exclude them later on from the analysis?</p>
<p style="margin-top:0;margin-bottom:0">Do you know <span style="font-family: Calibri, Helvetica, sans-serif, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;">
if Fieldtrip works fine with trials of different durations? And </span>if there is any other more efficient way to analyse trials with different durations?</p>
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<p style="margin-top:0;margin-bottom:0">Any help would be extremely appreciated, t<span style="font-size: 12pt;">hanks so much in advance!</span></p>
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<p style="margin-top:0;margin-bottom:0">Best wishes,</p>
<p style="margin-top:0;margin-bottom:0">Ioanna</p>
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