Dear Hooi Ling,
Please accept my apology for not replying yesterday.
ASReml canot fit a trivariate analysis where one is binomial on the
underlying scale.
To fit a bivariate where one is binomial, you must specify the binomial
trait first.
Thus the following is more likely to run. (for lgiw and surv)
surv lgiw !BINOMIAL ~ Trait at(Tr,2).(gen.env.line), #
at(Tr,2).(gen.env.sex.line gen.env.sex.line.age_hv),
at(Tr,1).(gen.env.line) !r -at(Tr,2).spl(age_hv) Tr.animal Tr.dam
1 2 2 # 1 set of resid,2
dim.anim.trait,Gstruc,Tr.anim.Tr.dam
0 # use all records
Trait 0 US !GP
1
.01 0.016
# 2 traits,records,sorted,residual var1,cov12,var2
Tr.animal 2 # 2 dim.struc,always 2
Tr 0 US !GP
0.028
0.01 0.019
# 2 traits,animal var1,cov12,var2
animal
Tr.dam 2 # 2 dim.struc,always 2
Tr 0 US !GP
0.011
0.005 0.105 # 2 traits,dam var1,cov12,var2
dam
May Jesus Christ be gracious to you in 2008,
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
Profile: http://www.dpi.nsw.gov.au/reader/17263
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Skype: arthur.gilmour
mailto:Arthur.Gilmour_at_dpi.nsw.gov.au, arthur_at_cargovale.com.au
Principal Research Scientist (Biometrics)
NSW Department of Primary Industries
Orange Agricultural Institute, Forest Rd, ORANGE, 2800, AUSTRALIA
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Received on Fri Mar 12 2008 - 16:49:53 EST
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