Discriminability for a multivariate measure (64k vertices)

[victoris93]

Hi there,

I've got a measure of shape (subjects, sessions, vertices). That is, the measure consists of multiple values per session per subject. The input shape required by hyppo.discrim.DiscrimOneSample is (subjects, sessions) which implies a univariate measure per session, as far as I understood it. What would you recommend to circumvent this?

Also, it would be useful if code examples in the documentation involved data resembling real data (e.g. fMRI, connectivity) and an example of a research question concerning reproducibility assessment.

Thanks in advance

[harsha7696]

It seems like you are dealing with multivariate data for which you have measures per session per subject, and you are trying to use the hyppo.discrim.DiscrimOneSample function, which requires a shape of (subjects, sessions) for univariate measures. To work with multivariate data, you might need to reshape your data appropriately before using this function.