Hello Vadim, you're right that the Anova feature selection is univariate. And also for a two-class problem it gives an identical result to that you would get with a t-test (F statistic is different from t-statistic, but what matters is the ranking, which will be identical). I suppose the reason PyMVPA uses Anova rather than t or z statistics, is so that it also works for more than two classes.
> In one-way ANOVA with data analysis we might have subjects as > between-group factor and treatment as within-group factor. But > treating voxels as "subjects" does not help me because there is no > grouping for voxels (grouping is for condition). > Hmmm, not sure, but if I read your analogy correctly, I think you should be thinking of *trials* as being equivalent to subjects. best, Brian > > Any ideas? Any links for explanation would be also appreciated! > > > Thanks, > Vadim > > > > > > > > -- Dr. Brian Murphy Lecturer (Assistant Professor) Knowledge & Data Engineering (EEECS) Queen's University Belfast [email protected] _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
