Hello Anderson,
Thank you for your reply.
In running fsl_glm to output the residuals, would this be the same as the
res4d.nii.gz image generated by FEAT?
Also, is the residuals the fitting error of the whole model (as in all EVs
with confounding matrix data points subtracted) from the best fit
timecourse?
For now, I have been able to extract the necessary data from both 4D and
3D data using fslmeants, but I am having trouble converting these files
back to images using fslascii2img.
I have tried inputting the compulsory arguments with information found
within the header of the the original data file, but I can not seem to get
the inputs correct and I have yet to get the command to run. Can you
please provide some insight into where I may be able to locate the
following details?
"<xsize> <ysize> <zsize> <tsize> <xdim> <ydim> <zdim> <TR>
where sizes are in voxels, dims are in mm, TR in sec"
Please let me know if you would like me to provide an example and I would
be happy to do so.
Thank you for the all of the insight and details.
Jacob
> Hi Jacob,
>
> Have you considered using the plain Levene's test in Matlab? You could
save
> the residuals of the GLM (use the command fsl_glm to output that), then
load them (it will be a 4D file) and run the test there. There are other
tests available too in the same command (vartestn, in the Stats
toolbox),
> each with their merits.
>
> Not sure if this helps...
>
> All the best,
>
> Anderson
>
>
>
> On 8 July 2014 17:10, [log in to unmask] <
> [log in to unmask]> wrote:
>
>> Hello FSL Experts and Users,
>> I am wondering if anyone out there knows of a way to generate a
voxelwise
>> image comparing if the beta variance of the imputed lower-level cope
images differ across my two groups?
>> Essentially, I am interested in running something like a Levene's test
on
>> the imputed beta value for each subjects' COPE image, per voxel, per
group.
>> I have experimented with doing this manually for certain ROIs by
outputting data for each subject using fslmeants --showall, but I would
ideally like to produce an image displaying the possible variance of each
>> group.
>> Thank you for the help and or suggestions!
>> Jacob
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