NaN will not work for this. You can't do incomplete designs with an FSGD. You
can create your own design matrix and pass it with --X, otherwise you'll have
to exclude those subjects or put some reasonable (eg, imputed) value
On 1/12/2021 6:35 PM, Julie Ottoy wrote:
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Hi freesurfer experts,
I am trying to run a GLM fit between cortical thickness and some other
continuous marker. My cortical thickness were stacked before using the
mris_preproc and surf2surf commands.
I have an FSGD file with the same subjects as
The problem is that some of your groups are very small, eg, groups 2 and
4 only have 3 subjects. The way you have it set up, there are four
parameters (offset and 3 slopes) for each group. Thus, you are running
out of DOFs for those two groups (and not so much better on some of the
others).
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Hi Doug,
I realized this error a couple of days ago and now it works.
Thank you,
Arsenije
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Your FSGD file is incorrect in several ways. Under "variables" you have
"Sex" and list "Male" and "Female". The variables must be numbers, not
strings. The variables should also represent continuous quantities, not
categories. To handle sex, you should have a total of 6 categories, the
3 that
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Hi,
I am still struggling to examine differences in thickness using the command
line stream for my two groups after controlling for age and sex. I get the
following error when running the command line:
ERROR: matrix is ill-conditioned or badly
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Hi Doug,
This is the bulk of the text I wrote initially in my first email:
Dear experts,
I have recently tried to use the command line to examine thickness differences
between two groups after controlling for the effects of age and sex. I get the
sorry, can you also include the previous emails so I know what the context is?
On 3/1/19 1:02 PM, Arsenije Subotic wrote:
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Hi Doug,
Thank you for your reply.
My command was:
mri_glmfit.bin --y CAA_CTRL_RH.thickness.10.mgh --fsgd CAA_CTRL_RH_Age_Sex.fsgd
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Hi Doug,
Thank you for your reply.
My command was:
mri_glmfit.bin --y CAA_CTRL_RH.thickness.10.mgh --fsgd CAA_CTRL_RH_Age_Sex.fsgd
--C Contrasts/CAA-CTRL_Age_Sex.mtx --surf fsaverage rh --cortex --glmdir
CAA_CTRL_RH_Age_Sex_Unix.glmdir
My FSGD
Did you see the line "If you seek help with this problem, make sure to
send:" and then it lists some things to send
On 2/25/19 2:13 PM, Arsenije Subotic wrote:
>
> External Email - Use Caution
>
> Dear experts,
>
> I have recently tried to use the command line to examine thickness
>
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Dear experts,
I have recently tried to use the command line to examine thickness differences
between two groups after controlling for the effects of age and sex. I get the
following error :
ERROR: matrix is ill-conditioned or badly scaled, condno =
You have commas (ie, ",") instead of decimal points (ie, ".") in your
fsgd file. Try replacing them and see if that works
On 03/16/2017 08:59 AM, teodora petrova wrote:
> Hello,
>
> I am trying to use the glm_fit to correlate a continuous variable
> (index) with cortical thickness, when
Hello,
I am trying to use the glm_fit to correlate a continuous variable (index) with
cortical thickness, when controlling for age, education, and cognition (MMSE)
(all continuous variables). However, I get the following error:
ERROR: matrix is ill-conditioned
Thank you for catching this. Really appreciate your help.
- Arkadiiy
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The information in this e-mail is intended only for the person
You have no HDFemales so the 2nd column is 0.
On 6/21/16 7:40 PM, Arkadiy Maksimovskiy wrote:
Hello,
Hello,
I am getting the following error:
ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08
Command line:
mri_glmfit --y
Hello,
Hello,
I am getting the following error:
ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08
Command line:
mri_glmfit --y lh.BD_SD.thickness.10B.mgh --fsgd
FSGD_Collapsed_Across_Smokers_demeaned.fsgd dods --C BDvsSD1.mtx --surf
fsaverage
Try multiplying the covariate by 100 (after subtracting the mean).
On 2/5/16 8:28 AM, Nabin Koirala wrote:
I did that but it still does not work, it is almost the same error
except the condno is now 15521.8 before it was 27492.1, though I am
not sure if that tells something about the error.
I did that but it still does not work, it is almost the same error except
the condno is now 15521.8 before it was 27492.1, though I am not sure if
that tells something about the error. Could it be something else ?
Thank you.
Regards,
Nabin
On Thu, Feb 4, 2016 at 5:59 PM, Douglas Greve
I'm not sure what the difference is. Compute the mean of the 2nd column,
then subtract that number from the values in the 2nd column.
doug
On 2/2/16 7:30 AM, Nabin Koirala wrote:
Thank you for your response . Sorry but for my understanding, should i
substract the mean from the data (demean) or
Thank you for your response . Sorry but for my understanding, should i
substract the mean from the data (demean) or you mean to remove the value
which is equal to the mean ?
Thank you.
Regards,
Nabin
On Mon, Feb 1, 2016 at 5:21 PM, Douglas N Greve
wrote:
> Try
Try removing the mean from your covariate
On 01/30/2016 01:31 PM, Nabin Koirala wrote:
> Dear Freesurfer forum,
>
> 'I am trying to run qdec analysis for a group of subjects to see if
> correlation exists but I am getting this error only for this
> particular set of data but could not figure
Dear Freesurfer forum,
'I am trying to run qdec analysis for a group of subjects to see if
correlation exists but I am getting this error only for this particular
set of data but could not figure out what is exactly wrong with it. Your
suggestion would be greatly appreciated.
Following is the
Hi Doug
Thanks a lot for your answer
Cheers
Jürgen
---
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Jürgen Hänggi, Ph.D.
Division Neuropsychology
Institute of Psychology
University of Zurich
Binzmuehlestrasse 14, PO Box 25
8050 Zurich, Switzerland
0041 44 635 73 97
Looks like your fsgd file was created under a windows machine or old
macos, try converting the fsgd like this
cat old.fsgd | sed 's/\\r/\\n/g' new.fsgd
On 08/22/2014 02:51 AM, Jürgen Hänggi wrote:
Dear FS experts
We run mri_glmfit and encountered the following error:
INFO:
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