External Email - Use Caution        

Hi Douglas,

Here is the command line:
mri_glmfit \
  --y rh.thickness-rate.MyStudy.10.mgh \
  --fsgd FSGD/MyStudy.fsgd dods\
  --C Contrasts/Case-Control_age_gender_race_etiv.mtx\
  --surf fsaverage rh \
  --cortex \
  --glmdir rh.thickness-rate.MyStudy.10.mgh_age_gender_race_etiv.glmdir \
  --eres-save

Also error message in terminal:
gdfRead(): reading FSGD/MyStudy.fsgd
WARNING: variable 1 is "Gender" which is often a discrete factor
  The proper way to handle discrete factors is to create classes.
  See 
https://secure-web.cisco.com/1NHVxBIRnha6EjEdEho81-VE9d-vjJ6ivzt10z28vhX9c94pCwosQpkLG4Hfu3nLYp7KMDne5wAk9mK45YIQJEZBe6UlteF2wwLohmZJzp070UjHvv6fqugRAkgBk0uNO3Fsgo5BzblW95J5iO5sXWwZLK-LGAZJJTBaU7mLTkO5L70JRSscCW3pdc-G5KchZMbVyeY65gGH4w5MMIYBSVHvX03spMjZ85XkHbkgYYmWXTFnzqUGhqGgHygP5sLeR7OWPKIzEb7X3pHi7POf0UyEHJAZpQLU9bgT2BnOcClt0kW4mll1ODQDC2Y0U7-0f/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FFsgdExamples
ERROR: gdfReadV1: Format Error: Input line 1, subjid = sub001_base
 Variable 2 has character string Female
 Variables should be continuous numbers
FSGDF Format Error: file = FSGD/MyStudy.fsgd, tag=Input

Also attached FSGD file below.
Thank you so much for the help!

Best,
Zeng




On Wed, Nov 10, 2021 at 5:41 PM Douglas N. Greve <dgr...@mgh.harvard.edu>
wrote:

> please send your command line and full terminal output as well as the fsgd
> file
>
> On 11/10/2021 5:12 PM, Zeng, Qi wrote:
>
>         External Email - Use Caution
> Hi Freesurfer experts,
>
> Here, I want to design a simple group comparison (two levels: Case vs.
> Control) and also count for 4 covariates (two continuous and two
> categoricals). However, the GLM model cannot recognize my discrete
> variables. What do you suggest to change?
> >> FSDG file:
> GroupDescriptorFile 1
> Title MyStudy
> Class Control
> Class Case
> Variables age gender race  eTIV
> Input sub001_base Control 85 Female White 1350519
> Contrast:
> >> Design matrix for Case-Control and regress out the effect of age,
> gender, race, and eTIV.
> -1 1 0 0 0 0 0 0 0 0
>
> Best,
> Zeng
>
>
>
>
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-- 

Ph.D. candidate
Icahn School of Medicine at Mount Sinai

Attachment: MyStudy.fsgd
Description: Binary data

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