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 <gr...@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 <kinson...@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 > listfreesur...@nmr.mgh.harvard.eduhttps://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. > >
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