28 Sep
2016
28 Sep
'16
3:51 p.m.
compute the mean and stddev of your covariate, subtract the mean from each covariate, and then divide the result by stddev.
On 9/28/16 3:47 PM, kinson li wrote:
Hi Greve
Thanks for your reply, can I have more detail about how to solve my problem. By the way, I may not think it's the problem about covariates.
Thank you. Jin
2016-09-28 15:29 GMT-04:00 Douglas Greve <greve@nmr.mgh.harvard.edu mailto:greve@nmr.mgh.harvard.edu>:
Try normalizing your covariates (ie, subtract the mean and divide by the stddev). On 9/28/16 3:07 PM, kinson li wrote:Hi there, Anyone can help me out? Thank you. 2016-09-28 13:46 GMT-04:00 kinson li <kinsonljc@gmail.com <mailto:kinsonljc@gmail.com>>: /Hello,/ /I would like to conduct an analysis using mri_glmfit but I'm getting this error:/ /ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08/ /I am appreciated you can help me solve this problem. / /My command was:/ mri_glmfit --y age9vs8ml01.mgh --fsgd new.fsgd dods --C age9vs8mlmatrix.mtx --surf fsaverage lh --cortex --glmdir glmdir.age9vs8ml Design matrix ------------------ 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 1.000 0.000 8.000 0.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; 0.000 1.000 0.000 9.000; -------------------------------- ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08 -------------------------------- Thanks Jincheng. _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer>_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <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 <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.
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