<html><head><meta http-equiv="Content-Type" content="text/html charset=windows-1252"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Dear Bastien,<div><br></div><div>to compute confidence intervals, from the command line, you may also reuse the accumulation bootstrap array generated by statcond and enter it as input to the function stat_surrogate_ci.</div><div><br></div><div>Also, if you are using the std_plotcurve function (using output from the std_erpplot function for example), there is an option to plot the standard error (using parametric statistics though) for each ERP (command line option only).</div><div><br></div><div>Best,</div><div><br></div><div>Arno</div><div><br><div><div>On Jan 13, 2014, at 8:57 PM, Makoto Miyakoshi <<a href="mailto:mmiyakoshi@ucsd.edu">mmiyakoshi@ucsd.edu</a>> wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite"><meta http-equiv="Content-Type" content="text/html; charset=Windows-1252"><div dir="ltr">Dear Bastien,<div><br></div><div><span style="font-family: Helvetica, Arial; font-size: 12px; ">> although I am not using clustering in my study does that change where I am looking for stuff?</span><br>
<div class="gmail_extra"><br></div><div class="gmail_extra">Oh I see.</div><div class="gmail_extra"><br></div><div class="gmail_extra">Maybe you want to check out mass univariate stat toolbox here?</div><div class="gmail_extra">
<a href="http://sccn.ucsd.edu/wiki/Plugin_list_process">http://sccn.ucsd.edu/wiki/Plugin_list_process</a><br></div><div class="gmail_extra">I also recommend you read David Groppe's paper about it. It'll tell you the type of statistics you are interested in and what you want to be careful about.</div>
<div class="gmail_extra"><br></div><div class="gmail_extra"><span style="font-family: Helvetica, Arial; font-size: 12px; ">> When calling statcond() what do I need to put in the brackets? </span><br></div><div class="gmail_extra">
<br></div><div class="gmail_extra">In the command window type 'help statcond' after launching EEGLAB. It'll tell you what input it requires. If you don't understand it ask us questions again.</div><div class="gmail_extra">
<br></div><div class="gmail_extra">Makoto<br></div><div class="gmail_extra"><br></div><div class="gmail_extra"><br><br><div class="gmail_quote">2014/1/12 Bastien Boutonnet <span dir="ltr"><<a href="mailto:bastien.b1@gmail.com" target="_blank">bastien.b1@gmail.com</a>></span><br>
<blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div style="word-wrap:break-word"><div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; ">
Hi Makoto,</div><div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; "><br></div><div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; ">Thanks very much for your replies. I will try and look into what you suggest although I am not using clustering in my study does that change where I am looking for stuff?</div>
<div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; "><br></div><div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; ">What I really want to do would be to be able to say find the lowest F or t values that are significant and report this in the results section. I wouldn’t want to report all values of course.</div>
<div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; "><br></div><div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; ">When calling statcond() what do I need to put in the brackets? </div>
<div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; "><br></div><div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; ">ERPLAB is indeed good for the classical mean amplitude analyses which are then fed into SPSS or R etc. but I don’t think it implements time point by time point analyses which are what I am interested in. I wouldn’t know how it integrates with the STUDY. I know that the •.erpsets that it creates do not seem to be read by STUDY.</div>
<div class="im"><div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; "><br></div><div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; ">B</div> <div><font face="Helvetica"><span style="font-size:12px">-- <br>
Bastien Boutonnet, Ph.D.<br></span></font><div><font face="Helvetica"><span style="font-size:12px">School of Psychology,</span></font></div><div><font face="Helvetica"><span style="font-size:12px">Bangor University</span></font></div>
<div><font face="Helvetica"><span style="font-size:12px"><a href="http://bastienboutonnet.com/" target="_blank">bastienboutonnet.com</a></span></font></div></div> <br></div><div><div class="h5"><p style="color:rgb(160,160,168)">
On 9 January 2014 at 20:04:28, Makoto Miyakoshi (<a href="mailto://mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>) wrote:</p> <blockquote type="cite"><span>
<div dir="ltr">Dear Bastien,
<div><br></div>
<div>If you want to report multiple significant points on your ERP
(I guess) you need to report bunch of statistical scores... that
will make another line plot. To obtain the statistical values for
each points, you have to access values under
STUDY.cluster(x).icaerp (don't forget that you plot all cluster ERP
first, close the edit/plot window by pressing ok, then it will
appear) and call EEGLAB function statcond().</div>
<div><br></div>
<div>I wrote a simple function for testing ERP on STUDY. Download
std_ErpCalc() from</div>
<div><a href="http://sccn.ucsd.edu/wiki/Plugin_list_process" target="_blank">http://sccn.ucsd.edu/wiki/Plugin_list_process</a><br>
</div>
<div>Unzip it, and place the folder under /eeglab/plugins and
relaunch EEGLAB. If you encounter a problem let me know.</div>
<div><br></div>
<div>I also heard that ERPLAB is a good tool to test ERP but I'm
not sure if it is compatible with STUDY.</div>
<div><br></div>
<div>Makoto</div>
<div><br></div>
<div><br></div>
</div>
<div class="gmail_extra"><br>
<br>
<div class="gmail_quote">2014/1/6 Bastien Boutonnet <span dir="ltr"><<a href="mailto:bastien.b1@gmail.com" target="_blank">bastien.b1@gmail.com</a>></span><br>
<blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
<div style="word-wrap:break-word">
<div style="font-family: Helvetica, Arial; font-size: 12px; margin: 0px; ">
<div style="margin:0px">Dear all,</div>
<div style="margin:0px"><br></div>
<div style="margin:0px">First, I have finally managed to run
successfully an analysis entirely via the STUDY. It’s great. I’m
loving the fact that it gives you stats ms by ms on all electrodes.
Found some effects I would have otherwise missed.</div>
<div style="margin:0px"><br></div>
<div style="margin:0px">Now that I get pretty effects I don’t know
how to report them. I would basically like to find where or how to
obtain t and F values to report them in a paper. So far all I get
is pretty graphs with thresholded p-values.</div>
<div style="margin:0px"><br></div>
<div style="margin:0px">Second, I was wondering if there was any
way in which I could plot SEM or CI 95% on the ERPs produced by the
study.</div>
<div style="margin:0px"><br></div>
<div style="margin:0px">Anyone has a solution for one or both of
those issues?</div>
<div style="margin:0px"><br></div>
<div style="margin:0px">Best,</div>
<div style="margin:0px">B</div>
</div>
<span><font color="#888888"><br></font></span>
<div><span><font color="#888888"><font face="Helvetica"><span style="font-size:12px">-- <br>
Bastien Boutonnet, Ph.D.<br></span></font></font></span>
<div><span><font face="Helvetica"><span style="font-size:12px">School of Psychology,</span></font></span></div>
<div><font face="Helvetica"><span style="font-size:12px">Bangor
University</span></font></div>
<div><font face="Helvetica"><span style="font-size:12px"><a href="http://bastienboutonnet.com/" target="_blank">bastienboutonnet.com</a></span></font></div>
</div>
</div>
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</blockquote>
</div>
<br>
<br clear="all">
<div><br></div>
--<br>
<div dir="ltr">Makoto Miyakoshi<br>
Swartz Center for Computational Neuroscience<br>
Institute for Neural Computation, University of California San
Diego<br></div>
</div>
</span></blockquote></div></div></div></blockquote></div><br><br clear="all"><div><br></div>-- <br><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br>
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