Dear doug
   Thank you for your reply!
+AOM -BOM -APM -BPM    0    0    0    0    0                                 
 +AOM -BOM    0    0 -AQM +BQM    0    0    0                                 
 +AOM    0 -APM    0    0    0 -COM +CPM    0                                 
 +AOM    0    0    0 -AQM      -COM    0 +CQM                                  
there should be use 1 -1 or 0.5 -0.5? whether the -BPM should be change BPM?
Thanks
 
Bo Xiang




 


At 2012-11-19 07:23:31,"Douglas Greve" <gr...@nmr.mgh.harvard.edu> wrote:

Hi Bo, you can think of  the Ftest as a logical 'OR' between the t-test 
contrasts indicated in each row. Each row is a difference of differences, so

1. (A-B)om - (A-B)pm --> Does the difference between A and B differ between 
groups O and P for Males?
2. (A-B)om - (A-B)qm
3. (A-C)om - (A-C)pm
4. (A-C)om - (A-C)qm
5. (A-B)of - (A-B)pf --> Does the difference between A and B differ between 
groups O and P for Females?
6. (A-B)of - (A-B)qf
7. (A-C)of - (A-C)pf
8. (A-C)of - (A-C)pf

I've put together the first 9 columns of the first 4 rows. The last 9 columns 
are all 0s. For the last for rows, the 0s and below matrix are swapped to give 
you the same for the females

doug

 AOM  BOM  APM  BPM  AQM  BQM  COM  CPM  CQM                                 
--------------------------------------------------------------------------
 +AOM -BOM -APM -BPM    0    0    0    0    0                                 
 +AOM -BOM    0    0 -AQM +BQM    0    0    0                                 
 +AOM    0 -APM    0    0    0 -COM +CPM    0                                 
 +AOM    0    0    0 -AQM      -COM    0 +CQM                                 
 



On 11/17/12 9:21 PM, xiangbo_2010 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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