Try demeaning your covariates. Do so on a sample-wise basis (ie, compute
the mean age across all subjects, then subtract that mean from all ages)
doug
On 01/14/2015 07:30 PM, i_geschwind2013 wrote:
> /Hello/
> /I’m trying to do an group analysis using mir_glmfit but I met this error./
> ERROR: m
Hi,Doug
yes, that works .. thanks.
HA
> 2015. 1. 16., 오전 1:07, Douglas N Greve 작성:
>
>
> Try demeaning each covariate. Do so with respect to the mean across all
> subjects and not within group.
> doug
>
> On 01/15/2015 08:02 AM, 이현아 wrote:
>> /Hello/
>> /I’m trying to do an group analysis
Try demeaning each covariate. Do so with respect to the mean across all
subjects and not within group.
doug
On 01/15/2015 08:02 AM, 이현아 wrote:
> /Hello/
> /I’m trying to do an group analysis using mir_glmfit but I met this error./
> ERROR: matrix is ill-conditioned or badly scaled, condno = 1652
*Hello*
*I’m trying to do an group analysis using mir_glmfit but I met this error. *
ERROR: matrix is ill-conditioned or badly scaled, condno = 165279
1. my command line was
mri_glmfit --y lh.age_edu.thickness.10b.mgh --fsgd age_edu.fsgd --C
C_age.edu.mtx --surf fsaverage lh --cortex --glmdir
HelloI’m trying to do an group analysis using mir_glmfit but I met this error. ERROR: matrix is ill-conditioned or badly scaled, condno = 1652791. my command line was mri_glmfit --y lh.age_edu.thickness.10b.mgh --fsgd age_edu.fsgd --C C_age.edu.mtx --surf fsaverage lh --cortex --glmdir lh.age_edu.g
