*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
age_edu.fsgd
Description: Binary data
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