Dear Juan,
E2 is not estimable because B=3 is missing for E=2
If you want E2 to be estimated by averaging over the 2 levels of B that
are present,
you need
predict t.e !present e b
but note that the B=3 effect from E=1 will then be included in the
differences between E=1 and E=2.
So, in this cae, you need to think clearly about what prediction is
needed/ what it means
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
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><><><><><><><><><><><><><><><><><><><><><><><>
Juan Burgueño <juanb_at_COLPOS.MX>
Sent by: ASReml users discussion group <ASREML-L_at_AGRIC.NSW.GOV.AU>
01/02/2008 07:07 AM
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Subject
estimability
I have the following data:
E B T Y
2 1 1 11
2 1 2 15
2 1 3 18
2 1 4 25
2 2 1 36
2 2 2 52
2 2 3 41
2 2 4 14
1 1 1 15
1 1 2 25
1 1 3 25
1 1 4 29
1 2 1 65
1 2 2 45
1 2 3 23
1 2 4 32
1 3 1 54
1 3 2 14
1 3 3 15
1 3 4 25
the model
Prueba
e 2
b 3
t 4
y
aaa.txt !skip 1
y ~ mu e at(e).b !r t t.e
predict t.e
and this is the .pvs file
Prueba 31 Jan
2008 14:04:29
MYT\PruebaAsreml\aaa
Ecode is E for Estimable, * for Not Estimable
---- ---- ---- ---- ---- ---- ---- ---- 1 ---- ---- ---- ---- ----
---- ---- ----
Predicted values of y
b is averaged over fixed levels
The cells of the hypertable are calculated from all model terms
constructed
solely from factors in the averaging and classify
sets.
Warning: 4 non-estimable [aliased] cell(s) may be omitted from
the table.
The Overall SED statistic includes non-estimable
predictions.
t e Predicted_Value Standard_Error Ecode
1.0000 1.0000 31.5336 4.4375 E
2.0000 1.0000 30.4090 4.4375 E
3.0000 1.0000 29.9367 4.4375 E
4.0000 1.0000 30.4540 4.4375 E
SED: Overall Standard Error of Difference not available
Why the blups for e 2 are non-estimable?
Thanks
Received on Mon Feb 01 2008 - 08:03:28 EST
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