Dear Vivi,
There are no obvious syntactical problems with your code
except it should have an itial value for the genetic variance, but
it looks like you are fitting a HUGE model.
BLUE !WT wt ~ mu !r gen yea.occ.gen
1 1 1
0 0 0 !s2== 0.4430 # No point using so many decimal places; 36672875
gen 1
gen 0 GIV 0.1
Should be exactly equivalent to
BLUE !WT wt ~ mu !r giv(gen,1) yea.occ.gen
1 1 1
0 0 0 !s2== 0.4430 # No point using so many decimal places; 36672875
I say HUGE because yea.occ.gen has 25 x 208 x 686 = 3567200 levels
so presumably you have more than that records of data, depending on the
structure.
Furthur, if you want a GIV structure on the main effects, you presumably
want it on the interaction as well.
This does require seting up a G structure line [yea.occ.giv(gen,1) does
not actually apply GIV1 ton the gen dimension]
Use
yea.occ.gen 2
5200 0 I
gen 0 GIV1 .1 !GP
If there are many empty cells in yea.occ, then recoding the interaction
as a single factor
will reduce the dimensionality and maybe allow the model to run.
I trust this helps
May you know Jesus Christ and His blessing in 2007,
Arthur Gilmour, His servant .
Mixed model regression mapping for QTL detection in experimental crosses.
Computational Statistics and Data Analysis 51:3749-3764 now available at
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Received on Mon Jun 07 2007 - 15:57:23 EST
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