yep, those are typos. I just fixed them. thanks
doug

Jose Luis Cantero Lorente wrote:
> Thanks Doug for your reply. I forgot that the number of columns is 
> number of classes by number of covariates +1.
>
> So, I only want you to confirm me that the extra zero that I've seen 
> in the FSwiki example is an erratum (see contrasts 7 and 8 in Four 
> Groups (2 Factors, Two Levels), One Covariate. DODS only. QDEC-able 
> <http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf4G1V>) and that I don't 
> have to add any extra zero per covariate when testing the interaction 
> effect.
>
> Many thanks again.
> Jose
>
> ----- Mensaje original -----
> De: Douglas N Greve <gr...@nmr.mgh.harvard.edu>
> Fecha: Martes, 18 de Enero de 2011, 16:53
> Asunto: Re: [Freesurfer] contrast matrix for 2 discrete factors and 3 
> continuous variables
> A: Jose Luis Cantero Lorente <jlcan...@upo.es>
> CC: freesurfer@nmr.mgh.harvard.edu
>
> > Hi Jose, with 6 classes and 3 continuous variables, I think you
> > should have 24 regressors, which means 24 columns in the
> > contrast matrix. Yours only has 18. Otherwise the contrast to
> > test between B and C is correct (just need to add 6 zeros). For
> > the interaction, you would need
> >
> > 0 0 0.5 -0.5 -0.5 0.5 0 0 ....
> >
> > doug
> >
> > Jose Luis Cantero Lorente wrote:
> > >
> > >Dear Freesurfers,
> > >
> > >
> > >My experimental design includes 2 discrete factors and 3
> > continuous variables:
> > >
> > >
> > >Discrete factors:
> > >
> > >-       Diagnosis with three
> > levels (A, B, C)
> > >
> > >-       Gender with two levels
> > (Males, Females)
> > >
> > >
> > >Continuous variables:
> > >
> > >-       Mean cortical thickness
> > in the left hemisphere (CTLH)
> > >
> > >-       Age
> > >
> > >-       Performance in a memory
> > test (TASK)
> > >
> > >
> > >The FSGD file would be as follows:
> > >
> > >
> > >GroupDescriptorFile 1
> > >
> > >Title Thickness-subj
> > >
> > >Class AMale
> > >
> > >Class AFemale
> > >
> > >Class BMale
> > >
> > >Class BFemale
> > >
> > >Class CMale
> > >
> > >Class CFemale
> > >
> > >variables ZCTLH ZAGE
> > >
> > >Input control_01 AMale -1.04398 0.24789
> > >
> > >Input control_02 AMale 1.22853 -0.72343
> > >
> > >Input control_03 AFemale .13773 -1.37097
> > >
> > >Input control_04 AFemale .41043 0.24789
> > >
> > >Input mci_01 BMale  -.77128 0.24789
> > >
> > >Input mci_02 BMale -2.40749 0.73354
> > >
> > >Input mci_03 BFemale -.86218 -1.0472
> > >
> > >Input mci_04 BFemale .50133 0.23777
> > >
> > >Input ad_01 CMale  -.75678 0.22789
> > >
> > >Input ad_02 CMale -2.88749 0.63047
> > >
> > >Input ad_03 CFemale -.96015 -1.4452
> > >
> > >Input ad_04 CFemale .80712 -0.37567 …
> > >
> > >
> > >We are assuming different offsets and different slopes (DDOS).
> > >
> > >
> > >The following contrast would test the null hypothesis whether
> > there is a difference between B and C (T-test) regressing out
> > the effect of the remaining variables.
> > >
> > >
> > >0 0 0.5 0.5 -0.5 -0.5 0 0 0 0 0 0 0 0 0 0 0 0
> > >
> > >
> > >Could you help me to build the contrast for testing
> > interactions in the above experimental design? In the FSwiki
> > examples, you add one column when you have two factors with two
> > levels each, and one continuous variable. I am not sure how many
> > columns should I add in our particular case and why.
> > >
> > >
> > >Null hypothesis: is there an interaction between diagnosis (B >
> > C) and gender regressing out the two remaining variables?
> > Assuming that you add one column per variable that is regressed
> > out, the contrast would be as follows:
> > >
> > >
> > >0 0 0.5 0.5 -0.5 -0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
> > >
> > >
> > >Is this correct? Any help will be very appreciated.
> > >
> > >
> > >Many thanks in advance.
> > >
> > >
> > >Best regards,
> > >
> > >Jose
> > >
> > >
> > >---
> > >Jose L. Cantero, Ph.D.
> > >Laboratory of Functional Neuroscience
> > >Department of Physiology, Anatomy and Cell Biology
> > >University Pablo de Olavide
> > >Ctra. de Utrera, Km.1
> > >41013 - Seville
> > >- Spain -
> > >Phone: +34 954 977433
> > >Fax: +34 954 349151
> > >Email: jlcan...@upo.es
> > >http://www.upo.es/neuroaging/en/
> > >----------------------------------------------------------------
> > --------
> > >
> > >_______________________________________________
> > >Freesurfer mailing list
> > >Freesurfer@nmr.mgh.harvard.edu
> > >https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
> >
> > --
> > Douglas N. Greve, Ph.D.
> > MGH-NMR Center
> > gr...@nmr.mgh.harvard.edu
> > Phone Number: 617-724-2358 Fax: 617-726-7422
> >
> > Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
> > FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html
> >
> >
> >
> > The information in this e-mail is intended only for the person
> > to whom it is
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> > contains patient information, please contact the Partners
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>
> ---
> Jose L. Cantero, Ph.D.
> Laboratory of Functional Neuroscience
> Department of Physiology, Anatomy and Cell Biology
> University Pablo de Olavide
> Ctra. de Utrera, Km.1
> 41013 - Seville
> - Spain -
> Phone: +34 954 977433
> Fax: +34 954 349151
> Email: jlcan...@upo.es
> http://www.upo.es/neuroaging/es/

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358 
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html

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