<div dir="ltr">Dear Tom,<div><br></div><div><span style="font-family:arial,sans-serif;font-size:12.8000001907349px">> Is there a way to do this using the STUDY function?</span><br></div><div><span style="font-family:arial,sans-serif;font-size:12.8000001907349px"><br></span></div><div><span style="font-family:arial,sans-serif;font-size:12.8000001907349px">I don't think so. You need to write code. You should be able to find it in the archived mail list since I've been giving it several times. But the bottomline is that you have to do it yourself.</span></div><div><span style="font-family:arial,sans-serif;font-size:12.8000001907349px"><br></span></div><div><span style="font-family:arial,sans-serif;font-size:12.8000001907349px">open edit/plot clusters</span></div><div><font face="arial, sans-serif">plot all ersp</font></div><div><font face="arial, sans-serif">press 'ok' to close the window (this updates the STUDY in the workspace)</font></div><div><font face="arial, sans-serif">click STUDY-cluster(1,3)-icaersp</font></div><div><font face="arial, sans-serif">where you should find {3,3} since you have 3x3 design. Figure out carefully which one is which (refer to STUDY.design). You should also find something like erspfreq and ersptime with which you can plot the values. Use imagesc() and axis xy option.</font></div><div><font face="arial, sans-serif"><br></font></div><div><font face="arial, sans-serif">If you don't understand what to do, let me know.</font></div><div><font face="arial, sans-serif"><br></font></div><div><font face="arial, sans-serif">Makoto</font></div><div><span style="font-family:arial,sans-serif;font-size:12.8000001907349px"><br></span></div><div><span style="font-family:arial,sans-serif;font-size:12.8000001907349px"><br></span></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Nov 17, 2014 at 11:25 AM, Tom Bullock <span dir="ltr"><<a href="mailto:thomas.bullock@psych.ucsb.edu" target="_blank">thomas.bullock@psych.ucsb.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hello,<br>
<br>
I'm currently working with a STUDY with three groups and three conditions. I'm using the std_erspplot function to plot ERSPs.. When I input a single channel into std_erspplot, I get a 3x3 grid of ERSP plots, one plot for each channel and group e.g.<br>
<br>
[STUDY erspdata ersptimes erspfreqs pgroup pcond pinter] = std_erspplot(STUDY,ALLEEG,'<u></u>channels',{'Oz'});<br>
<br>
I'd like to plot a separate ERSP for each condition and group, but with several channels averaged together (e.g. Oz, O1, O2, PO3, PO4) rather than just a single channel at a time. However, when I select several channels, I get one ERSP plot for each individual electrode, averaged over all groups and conditions e.g.<br>
<br>
[STUDY erspdata ersptimes erspfreqs pgroup pcond pinter] = std_erspplot(STUDY,ALLEEG,'<u></u>channels',{'Oz' 'O1' 'O2' 'PO3' 'PO4'});<br>
<br>
I've been through the documentation and cannot see a way to specify averaging across channels rather than across groups/conditions. Is there a way to do this using the STUDY function? One workaround migh be to create an averaged "channel" in my epoched dataset (e.g. channel 33 = mean(Oz, O1, O3,PO3, PO4)), recompute the ERSPS, and then plot that averaged "channel". But before I do that, I just wanted to check if there's an faster, more flexible solution?<br>
<br>
Any advice would be much appreciated.<br>
<br>
Thanks!<br>
<br>
Tom<br>
<br>
-- <br>
Tom Bullock, PhD<br>
<br>
<a href="https://labs.psych.ucsb.edu/giesbrecht/barry/Attention_Lab/Tom_Bullock.html" target="_blank">https://labs.psych.ucsb.edu/<u></u>giesbrecht/barry/Attention_<u></u>Lab/Tom_Bullock.html</a><br>
<br>
Postdoctoral Researcher, Department of Psychological and Brain Sciences,<br>
University of California, Santa Barbara, CA 93106-9660<br>
<br>
<a href="mailto:bullock@psych.ucsb.edu" target="_blank">bullock@psych.ucsb.edu</a><br>
<br>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div></div>
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