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Hi Tali,

For that first contrast, that test the mean of the 1st group (of 18
subjects), what happens is the following: the data are residualized with
respect to the 3 other subjects, permuted, then regressed against that main
EV. The number of permutations is computed with respect to that EV, which
is seen as a "multiset", that comprises one set of 18 undistinguishable
elements, and another set of 3 undistinguishable elements, for a grand
total of 21. The formula is well known, and I've just used in the previous
email. See this Wikipedia article:
https://en.wikipedia.org/wiki/Permutation#Permutations_of_multisets

You can do sign-flippings if you want to and if the assumptions are met.
The number of possible sign flippings will be 2^21 = 2,097,152. If the
assumptions are correct for your data, the results will be similar up to
the resolution of p-values afforded by the one that offers fewer
resamplings, in this case, the permutations.

All the best,

Anderson


On Fri, 19 Oct 2018 at 01:48, Tali Weiss <[log in to unmask]> wrote:

> In both - it is a one-sample test. Thus there are 2^N possible sign flips.
> 2 ^ 18 =262,144 possibilities?
> Why the number of permutation differ bw GROUP Main Effect and Group>single
> subject?
>
> In the terminal:
> Use the -1 option with randomise to indicate a one-sample t-test
> The GUI will recognise it one-sample t-test by default?
>
> thank you
> Tali
>
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