Re: ASREML output vs SAS output

Hi Edeomano

The difference is because in ASReml job, rep is defined as regression
instead a clasification factor. A 2 is missing after rep definition.

Best regards

On Fri, 18 Sep 2009 01:59:59 +0100
  edeomano <asremlforum_at_VSNI.CO.UK> wrote:
> I'm running ANOVA for RCB with 1 factor fixed and replicate as
>random. Except for the residual variance, what are the reasons for
>the differences in the output?
>
> Here are the codes/model I used and corresponding output:
>
> ASREML MODEL: Weight ~ Clone !r Rep
> ASREML OUTPUT:
> - - - Results from analysis of Weight - - -
> Approximate stratum variance decomposition
> Stratum Degrees-Freedom Variance Component Coefficients
> Rep 1.00 46241.7 10.0 1.0
> Residual Variance 19.00 5379.58 0.0 1.0
>
> Source Model terms Gamma Component
> Comp/SE % C
> Rep 1 1 0.759547 4086.04
> 0.62 0 P
> Variance 40 20 1.00000 5379.58
> 3.08 0 P
>
> Wald F statistics
> Source of Variation NumDF DenDF F_inc
> Prob
> 1 Clone 20 18.7 3.16
> 0.008
>
> SAS CODE:
> proc mixed data=data1 method=reml;
> class rep clone;
> model weight=clone;
> random rep;
> SAS OUTPUT:
> The Mixed Procedure
> Covariance Parameter
> Estimates
> Cov Parm Estimate
> Rep 2043.02
> Residual 5379.58
>
> Type 3 Tests of Fixed Effects
> Num Den
> Effect DF DF F Value Pr >
>F
> Clone 19 19 1.19
> 0.3526
>
>
>
>
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Received on Fri Sep 17 2009 - 21:31:48 EST