To: freesurfer@nmr.mgh.harvard.edu
From: mreu...@nmr.mgh.harvard.edu
Date: Tue, 3 Nov 2015 12:10:17 -0500
Subject: Re: [Freesurfer] A mixed effect model approach in within
subject dataset {Disarmed}
Dear Pablo,
maybe what you
?
Thanks
Pablo
To: freesurfer@nmr.mgh.harvard.edu
From: mreu...@nmr.mgh.harvard.edu
Date: Tue, 3 Nov 2015 12:10:17 -0500
Subject: Re: [Freesurfer] A mixed effect model approach in within subject
dataset {Disarmed}
Dear Pablo,
maybe what you want is a group x age interaction
54:41 -0400
Subject: Re: [Freesurfer] A mixed effect model approach in within
subject dataset {Disarmed}
Hi Pablo,
you should run something like this to get the ni:
[M,Y,ni] = sortData(M,1,Y,sID); # (sorts the data)
see
https://surfer.nmr.mgh.harvard.edu/fswiki/LinearM
:13:51 -0400
Subject: Re: [Freesurfer] A mixed effect model approach in within subject
dataset {Disarmed}
Hi Pablo,
the sortData function sorts the rows so that entries from the same
subject (in your case same family) are blocked and that within each
block the
(M,1,Y,sID)
To: freesurfer@nmr.mgh.harvard.edu
From: mreu...@nmr.mgh.harvard.edu
Date: Wed, 14 Oct 2015 10:54:41 -0400
Subject: Re: [Freesurfer] A mixed effect model approach in within
subject dataset {Disarmed}
Hi Pablo,
you should run something like this to get the ni
ksPablo
[M, Y, ni] = sortData(M,1,Y,sID)
To: freesurfer@nmr.mgh.harvard.edu
From: mreu...@nmr.mgh.harvard.edu
Date: Wed, 14 Oct 2015 10:54:41 -0400
Subject: Re: [Freesurfer] A mixed effect model approach in within subject
dataset {Disarmed}
Hi Pablo,
you should run something li
...@yahoo.es
To: freesurfer@nmr.mgh.harvard.edu
CC: pablon...@hotmail.com
Subject: Re: [Freesurfer] A mixed effect model approach in within subject
dataset {Disarmed}
Hi Pablo
Yes, too many locations at which the estimation algorithm didn't converge is
problematic. That might mean that havin
ck it thoroughly.
Cheers-Jorge
De: pablo najt
Para: "freesurfer@nmr.mgh.harvard.edu"
Enviado: Viernes 16 de octubre de 2015 1:43
Asunto: Re: [Freesurfer] A mixed effect model approach in within subject
dataset {Disarmed}
#yiv7275178360 #yiv7275178360 --.yiv7275178360hmme
for theLocal
cluster), increase the value of the NumWorkers property for thecluster.
The default value of NumWorkers for a Local cluster is the number of
cores on the local machine.
To: freesur...@nmr.mgh.harvard.eduFrom: mreu...@nmr.mgh.harvard.eduDate:
sum(ni) and length(X) give the same value before running
the above command.
Cheers-Jorge
De: pablo najt
Para: Freesurfer support list
Enviado: Jueves 15 de octubre de 2015 7:18
Asunto: Re: [Freesurfer] A mixed effect model approach in within subject
dataset {Disarmed
e of NumWorkers for a Local cluster
is the number of
cores on the local machine.
To: freesurfer@nmr.mgh.harvard.edu
From: mreu...@nmr.mgh.harvard.edu
Date: Wed, 14 Oct 2015 10:54:41 -0400
Subject: Re: [Freesurfer]
The default value of NumWorkers for a Local cluster is the number of
cores on the local machine.
To: freesurfer@nmr.mgh.harvard.edu
From: mreu...@nmr.mgh.harvard.edu
Date: Wed, 14 Oct 2015 10:54:41 -0400
Subject: Re: [Freesurfer] A mixed effect model approach in within subj
Hi Pablo,
you should run something like this to get the ni:
[M,Y,ni] = sortData(M,1,Y,sID); # (sorts the data)
see
https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels
hope that helps, Martin
On 10/14/2015 10:43 AM, pablo najt wrote:
Dear FS experts.
I have query about a rela
Dear FS experts.I have query about a relating to a previous email (below). I am
aiming to run a LME analysis on cross-sectional data from different families
and have variable 'family' (number of families) as my NI vector. My design has
three groups and therefore I am not able to use qdec. I a
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