On 12/18/13 10:26 PM, Rujing Zha wrote:
Hi Doug and others, Thanks Doug. I modifiled my number of class in the fsgd which can be got in the attachment. And I am confused with 3 problems: 1st: Is what I modified proper?
Yes
2nd: How can I deal with my high correlation between age and edu?
If they are nuisance variables, then you could orthogonalize one with respect to the other. If you really want to test for a difference in groups for the age slope or the edu slope, then there is nothing you can do except get more subjects.
3rd: Is it necessary to tell mri_glmfit to distinguish which subject is female or male in each class if dividing all subjects into 2 classes (i.e con and IA )?
If you only have con and IA, you cannot have a gender factor. If you think that a gender factor is really necessary, then you need to get more females. doug
Thanks in advance. All the best. 2013-12-19
/Rujing Zha/
*发件人：*Douglas N Greve greve@nmr.mgh.harvard.edu *发送时间：*2013-12-19 04:59 *主题：*Re: [Freesurfer] mri_glmfit error *收件人：*"freesurfer"freesurfer@nmr.mgh.harvard.edu *抄送：* Could be several things. You only have two IA_female and and only 3 con_female. Also, the age and edu are highly correlated. I would try creating a single IA group with males and females and a single con group doug On 12/18/2013 11:21 AM, Rujing Zha wrote:
Hi all, I try to run mri_glmfit, but it export "ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08
Possible problem with experimental design: Check for duplicate entries and/or lack of range of continuous variables within a class.". I upload the data in the attachment, and the glmfit_output is the standard output of the "mri_glmfit". Thanks. All the best. 2013-12-19
/Rujing Zha/
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