Dear Seyed,
First, can I encourage you to use the ASReml forum at
http://www.vsni.co.uk/forum
re:
I want to analyze a RR for a trait(body weight) with 16 repeated
measurements by ASReml. Is it possible to consider the maternal effects
only for the first 3 measurements? Or how I can omit maternal effects for
the last 13 measurements?
Thank you for any suggestion
Now a random regression is just modelling a set of contrasts based on the
16 times.
So, pol(age,2) sets up the 3 'contrast' vectors (reported in the .res
file).
You are free to define contrasts however you liked
So one way to achieve your purpose would be to define new variables
DageI != age !<30 # Create 0/1 variable 1 if age < 30
DageS !=age !*DageI # has age if age < 30
Then in model !r !{ pol(age,2).animal DageI.dam DageS.dam
!}
pol(age,2).animal 2
5 0 US !GP
.1
0.001 .1
2*0.001 .1
3*0.001 .1
4*0.001 .1
animal 0 AINV
assuming that 30 is a cutoff value that separates the first 3 from later
ages,
and that animal and dam are both !P pedigree terms.
You will need to adapt this depending on details you have not supplied but
I hope you get the idea.
May Jesus Christ continue to be gracious to you,
Arthur Gilmour, His servant .
Mixed model regression mapping for QTL detection in experimental crosses.
Computational Statistics and Data Analysis 51:3749-3764 at
http://dx.doi.org/10.1016/j.csda.2006.12.031
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Received on Thu Sep 16 2008 - 11:32:22 EST
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