Hi,
You can run randomise with a smaller number of samples, which will speed it up. The results will be less accurate (the p-values will vary) but it will let you see if you have anything near the threshold or not.
All the best,
Mark
On 24 Feb 2014, at 11:00, Alain Imaging <[log in to unmask]> wrote:
> Dear all,
>
> I would like to have an hint on a rather practical question.
>
> I'm conducting exploratory analysis between several behavioral measures of the same construct and shape using vertex analysis.
> What I would like to know is if there is a quick method to check if it could be valuable perform a (time consuming) randomise for a certain behavioral measure.
> I can only think to running randomise with inference off (but then, to which distribution compare the t ?) or performing the old shape analysis using --surfaceout and performing the fdr correction.
> Are there any other methods less time consuming than randomise ? And if not, which of the two methods that I outlined is the most suitable and will give me the best idea of the results of randomise ?
>
> Thanks in advance
>
> Best
>
> Alain
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