My sample is not balanced (there happens to have been 22 responders
and 13 non-responders) and is not particularly large. I would like,
if possible, to use all the data and adjust the classifier to the
unbalanced set rather than selecting a subset of the responders.
You don't have to
Thank you so much Richard! This was super helpful!
One last question, do you know if the averaging can be done using the
command line without sparse ROI's? Maybe by using --scatter-rois 0? or is
it the default regardless to the input of scatter-rois?
And just to make sure I understand the scatter
Thank you so much Richard! This was super helpful!
One last question, do you know if the averaging can be done using the
command line without sparse ROI's? Maybe by using --scatter-rois 0? or is
it the default regardless to the input of scatter-rois?
I am sorry, but I don't know. The feature
Super—thanks for the advice,
Mike
From: Pkg-ExpPsy-PyMVPA
[mailto:pkg-exppsy-pymvpa-bounces+michael.browning=psych.ox.ac...@lists.alioth.debian.org]
On Behalf Of Richard Dinga
Sent: 13 August 2015 15:31
To: pkg-exppsy-pymvpa@lists.alioth.debian.org
Subject: Re: [pymvpa] Altering the weights of
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