Thanks very much Steve,

Much appreciated. The subject data wasn’t too weird so I just remove them before randomise.

Kind regards

Erik


On 18/01/2012 09:04, "Stephen Smith" <[log in to unmask]">[log in to unmask]> wrote:

Hi - yes that's fine - as long as they are not so "weird" that they corrupted the mean_FA image.
Cheers


On 16 Jan 2012, at 13:10, Erik O'Hanlon wrote:

Dear Experts,

I've run a tbss analysis on a two group dataset with 50 subjects in each group. The tbss_reg step used -n option as the data is based on young teens. I have to exclude a subject from the analysis and was wondering if it would be acceptable to remove their data from the all_FA_skeletonised file using fslsplit and fslmerge (excluding the unwanted subject) and then run randomise or would I have to rerun the entire analysis.

Thanks for any advice

Erik



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Stephen M. Smith, Professor of Biomedical Engineering
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