Dear Yongjun,
I suspect you are not calculating the LSMs properly.
If you fitted the terms as
gfw ~ mu c(fly)
gfw ~ mu c(line) c(fly)
gfw ~ mu c(year) c(line) c(fly)
and then used .pin lines of
(assuming 5 fly, 6 line, 3 yyear)
Flymeans [1:4 0] 5
Flymeans [1:4 0] 10
Flymeans [1:4 0] 12
respectively, you will probably get closer values.
Arthur
> X-Sender: yongjun@ram.chiswick.anprod.csiro.au
> Date: Thu, 23 Jul 1998 09:44:29 +1000
> To: asreml@ram.chiswick.anprod.csiro.au
> From: Yongjun Li <yongjun.li@chiswick.anprod.csiro.au>
> Subject: LSM problem
> Mime-Version: 1.0
>
> Dear Arther,
>
> I am confused when I use ASREML to get LSM of gfw in different fly scores.
> The line and year also have significent effect on the gfw. I got different
> LSM of gfw when I put different fixed effects in the model. The details are
> as the following table.
>
> Models gfw LSM in different fly scores
> 0 1 2 3 4
> gfw ~ mu fly 2.44 2.52 2.09 2.35 2.40
> gfw ~ mu line fly 2.10 2.11 1.72 2.01 2.01
> gfw ~ mu year line fly 1.92 1.54 1.79 1.97 1.71
>
> I wonder why the gfw LSMs in different fly scores change so greatly. Are
> they normal or not?
>
> Regards,
>
> Yongjun
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Arthur Gilmour PhD email: Arthur.Gilmour@agric.nsw.gov.au
Senior Research Scientist (Biometrics) fax: <61> 2 6391 3899
NSW Agriculture <61> 2 6391 3922
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