Just remove the class. ps. Please remember to include previous correspondences so we have context
On 4/20/18 6:19 AM, C.P.E. Rollins wrote: > External Email - Use Caution > > Thanks a lot for the explanation. The issue is that I don't think > Freesurfer will run a design for which there are no subjects for a given > class. So if I keep the classes (24 classes since 6 centres x 2 gender x > 2 groups (patient vs. control), and have the contrast with 12 (-1) and > 12 (1), > -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 1 1 1 1 0 > I get the error: > -------------------------------- > ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08 > -------------------------------- > Possible problem with experimental design: > Check for duplicate entries and/or lack of range of > continuous variables within a class. > > I'm assuming this is because there are no participants in, for example, > patient_centre2_female > Is there any way to get around this issue, or should I remove those > centres from my analysis (since I can't only remove > "patient_centre2_female", as this would make the contrast unbalanced > (positives and negatives would not add to the same number). I hope this > was clear but please let me know if it was not. > > Thanks again, > Colleen > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
