<html><head><style type="text/css"><!-- DIV {margin:0px;} --></style></head><body><div style="font-family:times new roman, new york, times, serif;font-size:12pt">hello,<br> I'm using Eprime to put a marker in my eeg data. When Eprime receive a ttl through a parallel port, it sends the corresponding marker to biosemi. But I have a delay in this operation. Does anyone know how can I measure this delay? Thank you!<br><div> </div>Mohamed Kéfil LANDOU<br>M-5108<br>tél: (514)340-5121 # 7131<br>École Polytechnique de Montréal<div style="font-family: times new roman,new york,times,serif; font-size: 12pt;"><br><br><div style="font-family: times new roman,new york,times,serif; font-size: 12pt;">----- Original Message ----<br>Wrom:
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Rob Anderson wrote:
<blockquote type="cite">
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<div><font face="Arial" size="2">Hi. I am currently conducting
erp group comparisons of oddball and gonogo data for groups that have
been defined based on a cluster analysis of personality trait
variables. I would like to compare the erps for these
different clusters (4 of them), but have only been able to compare
groups of equal size (i.e., taking a subsample of the clusters). I do
not have the Matlab Statistical Toolbox installed, so the statistical
analyses are defaulting to the nonparametric permutation tests.</font></div>
</blockquote>
<br>
These tests are usually more rigorous as they do not rely on the
probability distribution of the data.<br>
<br>
<br>
<blockquote type="cite">
<div><font face="Arial" size="2"> If I install the statistical
toolbox, will that enable me to make erp comparisons for unequal groups?</font></div>
</blockquote>
<br>
Yes, it will. Note that you can still set a threshold p-value using the
parametric statistics in EEGLAB. The only thing EEGLAB will not do is
to compute the exact p-value itself as this is the part that requires
the statistics toolbox (fcdf() and tcdf() functions). <br>
<br>
<blockquote type="cite">
<div><font face="Arial" size="2"> If not, is there some other way to
get statistics based on unequal groups? If not, is there a relatively
easy way to do a bootstrap sort of analyses where the smaller groups
are formed with different membership and then tested statistically to
see if there is a difference within a given group when there are
different members in that group? </font></div>
</blockquote>
<br>
I am not sure I understand clearly what you want to say. The
statistical functions in EEGLAB can support group of equal size
(usually paired) or group of unequal size (unpaired). The command line
output indicates you what type of statistic is being used by default.<br>
<br>
Best regards,<br>
<br>
Arno<br>
<br>
<blockquote type="cite">
<div><font face="Arial" size="2">Thanks for any help you can give me
with this. Rob </font></div>
<div> </div>
<div><strong></strong> </div>
<div> </div>
<div><font face="Arial" size="2">Rob Anderson, Ph.D.<br>
Research Assistant Professor</font></div>
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