[Eeglablist] STUDY Spectral Plots & Statistics
Makoto Miyakoshi
mmiyakoshi at ucsd.edu
Thu Mar 20 15:23:36 PDT 2014
Dear Ann,
Sorry for delay.
> What does the p-value plot represent...the significant change across ALL 4
conditions?
That should be the results from ANOVA across 4 conditions.
> Also, is there an easy way to export the statistical results so I have
the actual p-values across channels?
Not from GUI though... Plot spectra in plot/edit GUI, and press 'ok' to
close the GUI. This updates your STUDY. After closing it successfully, you
should see STUDY.cluster(1,5).spec or something like that that has
{row,column} which corresponds your 1st and 2nd variables of your
STUDY.design. There must be freq scale for the spec with which you can draw
your frequency axis. If it's difficult to see what to do let us know.
> I'm sure these questions have been addressed in previous postings, but I
couldn't locate the answers in recent threads.
No wonder, it's the first time in a recent few years. However, there are
question about how to extract the computed values from STUDY quite often.
Makoto
2014-03-12 16:16 GMT-07:00 Eddins, Ann <aeddins at usf.edu>:
> I have a couple of questions regarding interpretation of the statistical
> output from STUDY channel spectrum measures. I want to compare the change
> in spectral power across 4 conditions for a single group of subjects. From
> STUDY plot channel measures menu, I select ALL channels, plot topography at
> a specific frequency (e.g., 12 Hz), and get one plot for each condition and
> one p-value plot. What does the p-value plot represent...the significant
> change across ALL 4 conditions? Also, is there an easy way to export the
> statistical results so I have the actual p-values across channels? I'm
> sure these questions have been addressed in previous postings, but I
> couldn't locate the answers in recent threads.
>
>
>
> Thanks!
>
> Ann Eddins
>
> University of South Florida
>
> aeddins at usf.edu
>
>
>
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--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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