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<div>Dear Makoto,</div>
<div><font face="tahoma">at the moment I am working simply with EEG data not ICA components (though that will be my next step<a></a>).</font></div>
<div><font face="tahoma">Does that change anything?</font></div>
<div><font face="tahoma">Many thanks,</font></div>
<div><font face="tahoma">Aleksandra</font></div>
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<font color="#000000" size="2" face="Tahoma"><b>From:</b> Makoto Miyakoshi [mmiyakoshi@ucsd.edu]<br>
<b>Sent:</b> 10 January 2013 23:12<br>
<b>To:</b> Aleksandra Vuckovic<br>
<b>Cc:</b> eeglablist@sccn.ucsd.edu; Muhammad Hasan; Arnaud Delorme; Scott Makeig<br>
<b>Subject:</b> Re: [Eeglablist] Ploting ONLY stat stignificant ERSP ina study<br>
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<div>Dear Aleksandra,
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<div>So you want to show simple effect of ERSP results after significance masking. Actually it is not possible for the current STUDY scheme (!) which is a shame. You need to write a code to extract those values from STUDY.cluster(1,x).icaersp. Type 'help std_readersp'
and read the help for a start.<br>
<br>
I strongly believe that this should be doable, so I cc this to Arno and Scott to draw their attention.</div>
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Makoto<br>
<br>
<div class="gmail_quote">2013/1/4 Aleksandra Vuckovic <span dir="ltr"><<a href="mailto:Aleksandra.Vuckovic@glasgow.ac.uk">Aleksandra.Vuckovic@glasgow.ac.uk</a>></span><br>
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<div dir="ltr"><font color="#000000" face="Tahoma">Hi,</font></div>
<div dir="ltr"><font face="tahoma">how can I plot only statistically significant ERSP<a></a><a></a> (let's say p<0.05) in a study, in the same way as it can be plotted for a single subject? Currently<a></a> I can only plot a separate figure with an area of
statistically significant difference between two groups rather than statistically significant<a></a> ERSP<a></a><a></a> of a single group/single<a></a> condition.</font></div>
<div dir="ltr"><font face="tahoma">Many thanks,</font></div>
<div dir="ltr"><font face="tahoma">Alex</font></div>
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-- <br>
Makoto Miyakoshi<br>
JSPS Postdoctral Fellow for Research Abroad<br>
Swartz Center for Computational Neuroscience<br>
Institute for Neural Computation, University of California San Diego<br>
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