Hi,Doug

yes, that works .. thanks. 

HA 
> 2015. 1. 16., 오전 1:07, Douglas N Greve <gr...@nmr.mgh.harvard.edu> 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 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 lh.age_edu.glmdir
>> 
>> 2. I attached the fsgd file, which was made in edit. It contains 1 
>> class (2 levels) and 2 variables (age & education)
>> 
>> 3. contrast is ‘-1 1 0 0 0 0’
>> 4. design matrix is like below
>> Design matrix ------------------
>> 1.000   0.000   74.000   0.000 14.000   0.000;
>> 1.000   0.000   70.000   0.000 12.000   0.000;
>> 1.000   0.000   73.000   0.000 6.000   0.000;
>> 1.000   0.000   84.000   0.000 15.000   0.000;
>> 0.000   1.000   0.000   60.000 0.000   12.000;
>> 0.000   1.000   0.000   59.000 0.000   12.000;
>> 0.000   1.000   0.000   63.000 0.000   9.000;
>> 0.000   1.000   0.000   60.000 0.000   12.000;
>> --------------------------------
>> ERROR: matrix is ill-conditioned or badly scaled, condno = 164365
>> 
>> Possible problem with experimental design:
>> Check for duplicate entries and/or lack of range of
>> continuous variables within a class.
>> If you seek help with this problem, make sure to send:
>>  1. Your command line:
>>    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.glmdir
>>  2. The FSGD file (if using one)
>>  3. And the design matrix above
>> 
>> 
>> 
>> thanks,
>> 
>> H.A. LEE
>> 
>> 
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> 
> -- 
> Douglas N. Greve, Ph.D.
> MGH-NMR Center
> gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
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