[Mne_analysis] plot_cluster_stats_spatio_temporal

[Matt Erhart]

Is there a way currently to do the 1samp test without assuming equal
variance?


On Wed, Jan 8, 2014 at 12:27 AM, Alexandre Gramfort <
alexandre.gramfort at telecom-paristech.fr> wrote:

> > In the example online, plot_cluster_stats_spatio_temporal.py, X is
> passed in
> > to ttest 0 and 1 in the forth dimension: X = X[:, :, :, 0] - X[:, :, :,
> 1] #
> > make paired contrast.
> > That subtraction seems strange to me since it seems to lose the variance
> > unique to each condition. I would have expected something more like
> > ...1samp_test(X[:, :, :, 0], X[:, :, :, 1]). What am I missing here?
>
> you're right. We assume here equal variance and then the paired t test
> is just a one sample test on the difference.
>
> suggestions of improvement are really welcome.
>
> > Also, my ultimate goal is 1samp and 2samp spatio-temporal clustering with
> > TFCE with MEG. ANOVA for groupxcondition would be great as well. In
> > spatio_temporal_cluster_1samp_test, the doc says TFCE will be used if a
> dict
> > is passed in for threshold=, but what is that dict suppose to look like?
>
> have a look at the TFCE example
>
>
> http://martinos.org/mne/stable/auto_examples/stats/plot_cluster_methods_tutorial.html
>
> and especially the variable:
>
> threshold_tfce
>
> > Much thanks for the excellent package,
>
> thanks
>
> > P.S. Anaconda was really important for getting this working in centos5
> > without root access. Spyder is working as well which is great for
> > transitioning from matlab.
>
> that's indeed what we recommend to install to get started
>
> Best,
> Alex
>
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