Dear Mahboob,
ASReml cannot fit two binary variables on the underlying scale in a bivariate analysis in a direct way. You probbaly could achieve such an analysis by reformating your data file from say
animal fix Bin1 Bin2
multivariate layout
to
animal fix TRAIT Bin
univariate layout (twice as many rows)
and then fitting the model
Bin !bin ~ TRAIT TRAIT.fix !r TRAIT.animal ide(animal)
0 0 1
TRAIT.animal 2
TRAIT 0 US !GP
0.1 0.01 0.1
animal 0 AINV
where ide(animal) will represent the error covariance
I do not know that anyone has actually done this kind of thing.
Again, I have written this assuming an animal model but such a model
is not recommended and is likely to fail.
While I can help with syntax, you must take responsability for the model you fit and any interpretation. In particular, people are still writing PhD's on the analysis of binary data so I can't begin to do justice to the subject in an email.
------------------------
Arthur Gilmour
Retired Principal Research Scientist (Biometrics)
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Received on Sat Jul 24 2009 - 14:03:55 EST
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