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Hi Jae,</div>
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Have you checked whether your input (data13 & data24) has NaNs in them already?</div>
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If that's not it, it might have to do with edge effects: the wavelet method is unable to transform all the way to the beginning/end of the window and leaves some NaNs around the edges. If the size of your wavelet is big (you set this with cfg.width & cfg.gwidth)
and the data window is not very long, this could explain why you're getting NaNs. It can be helpful to generate a bigger data window in the step before ft_freqanalysis (e.g. in ft_definetrial set pre- and poststim wider than your window of interest to account
for the edge effects).</div>
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Hope this helps, best of luck!</div>
<div style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Yvonne<br>
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<div id="divRplyFwdMsg" dir="ltr"><font style="font-size:11pt" face="Calibri, sans-serif" color="#000000"><b>From:</b> fieldtrip <fieldtrip-bounces@science.ru.nl> on behalf of Jae Moon <jmoon@hollandbloorview.ca><br>
<b>Sent:</b> Monday, September 2, 2019 6:15 PM<br>
<b>To:</b> fieldtrip@science.ru.nl <fieldtrip@science.ru.nl><br>
<b>Subject:</b> [FieldTrip] ft_freqanalysis spitting out only NaNs</font>
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<div class="PlainText">Hi everyone,<br>
<br>
I’m wondering if anyone has been confronted with the same issue of ft_freqanalysis spitting out only NaNs in the output. Here is the code I implemented:<br>
<br>
cfg=[];<br>
cfg.method = 'wavelet';<br>
cfg.output = 'pow';<br>
cfg.foilim = [1 60];<br>
<br>
cfg.toi = [1:50:1200];<br>
cfg.pad='nextpow2';<br>
freq13=ft_freqanalysis(cfg,data13);<br>
freq24=ft_freqanalysis(cfg,data24);<br>
<br>
No matter what method I use or whichever output I use, I keep getting NaNs, and therefore, my granger causality analysis only spits out NaNs as well.<br>
<br>
Your help is very much appreciated!<br>
<br>
Best,<br>
<br>
Jae<br>
<br>
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