Hi Bo,

I'm definitely not an expert of this, but I see that you really nead some
help, so I tried to look at your matrix. From my humble opinion it doesn't
look correct. Firstly, the first 9 groups are male groups and the last 9
are female groups. Then why are all female groups assigned 0 in the matrix?
Secondly, since the interaction you are interested in have a df of 4, do
you think maybe you should have 4 rows rather than 8 in your matrix?

Cherry

On Sat, Nov 17, 2012 at 9:21 PM, xiangbo_2010 <xiangbo_2...@126.com> wrote:

>  Hi Freesurfer experts,****
>
>  I'm very sorry to bother you, but I am very confused with the following
> questions:
>
> My experimental design includes three discrete factors:  factor
> 1 with three levels (A,B,C ); factor 2 with three levels (O,P,Q); gender
> (F, M), and one covariate.
>
> So I can get 18 classes: FAO, FAP,FAQ,FBO,FBP,FBQ,FCO,FCP,FCQ,MAO,
> MAP,MAQ,MBO,MBP,MBQ,MCO,MCP,MCQ.  I want to perform the interaction
> between factor 1 and factor 2 regressing out the effect of gender and one
> covariate, but I don't know the rules for setting the contrasts for the
> F-test.  The contrast matrix I used is:
>
> 1 1 1 -1 -1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>
> 1 -1 0 1 -1 0 1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>
> 1 1 1 0 0 0 -1 -1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>
> 1 0 -1 1 0 -1 1 0 -1  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
> 0
>
> 0 0 0 0 0 0 0 0 0 1 1 1 -1 -1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
> 0
>
> 0 0 0 0 0 0 0 0 0 1 -1 0 1 -1 0 1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
> 0
>
> 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 -1 -1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
> 0
>
> 0 0 0 0 0 0 0 0 0 1 0 -1 1 0 -1 1 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
> 0
>
> is it correct?
>
>
>
> Any help will be very appreciated.
>
>
>
> Best wishes,
>
>
>
> Bo Xiang
>
>
>
>
>
>
>
>
>
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