It could be a couple of things:
1. Your covariates have a large scale. You can try demeaning and
dividing by the stddev to bring them into the range of 1.0
2. It looks like your covariates are highly correlated. You may need to
reduce them or do a component analysis.
On 5/30/19 12:53 PM, Martin
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Dear Douglas, Bruce (and FS experts),
I was just wondering if you got a chance to look at the Xg.dat file
attached in my previous email. I would really appreciate any help in
resolving the following error I get after I run mri_glmfit command:
ERROR: m
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Hi Dough,
Please find the Xg.dat file attached here.
Thanks.
On Fri, May 24, 2019 at 7:30 AM Greve, Douglas N.,Ph.D. <
dgr...@mgh.harvard.edu> wrote:
> Can you send the Xg.dat file?
>
> On 5/23/2019 8:43 PM, Martin Juneja wrote:
>
> External
Can you send the Xg.dat file?
On 5/23/2019 8:43 PM, Martin Juneja wrote:
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Hi FS experts,
I want to find clusters showing an association between cortical measures and
behavior x6 (sex, age and variables x1-x5 as covariates).
My FSGD file looks like:
GroupDes
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Hi FS experts,
I want to find clusters showing an association between cortical measures
and behavior x6 (sex, age and variables x1-x5 as covariates).
My FSGD file looks like:
GroupDescriptorFile 1
Class Male
Class Female
Variables x1 x2 x3 x4 x5 x6 Ag
