Hi Brian,
Thanks - this is a much simpler way of fitting the model and the
intercept now agrees with the other methods. I thought the model I
fitted would be equivalent, but apparently not.
Cheers,
Jarrod
On 20 Oct 2009, at 12:24, brian.cullis_at_INDUSTRY.NSW.GOV.AU wrote:
>
> Dear jarrod
> we do this all the time in the two stage analysis of variety trials
> where we have weights in the analysis, see the paper by Smith Cullis
> and Thompson (2005) J Ag Sci Camb
>
> Anyway the syntax would be
>
> asreml
> (y~1,random=~units,weight=wt,family=asreml.gaussian(dispersion=1),...)
> where wt contains the vector of 1/sqrt(sd_i)
>
> I think this should do the trick@
> let me know how you get on
>
> warm regards
>
> Brian Cullis|Research Leader, Biometrics &
> Senior Principal Research Scientist |
> Industry & Investment NSW | Wagga Wagga Agricultural Institute |
> Pine Gully Road | Wagga Wagga NSW 2650 |
> PMB | Wagga Wagga NSW 2650
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> ,au
> W: www.industry.nsw.gov.au |
>
> Visiting Professorial Fellow
> School of Mathematics and Applied Statistics
> Faculty of Informatics
> University of Wollongong
>
> Professor,
> Faculty of Agriculture, Food & Natural Resources
> The University of Sydney
>
> Adjunct Professor
> School of Computing and Mathematics
> Charles Sturt University
>
>
>
>
>
>
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Received on Wed Oct 20 2009 - 12:38:16 EST
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