Dear Alastair.
In the SLN file, the residual is followed by the predicted value
i.e. you have O-E and E where O is the data value and E is the extected
(predicted) value
Therefore the SUM of the 2 numbers (O-E+E) gives you the data value.
Further more the residuals will be in data order UNLESS
in a spatial analysis the data has been sorted within ASREML
into field order by specifying a non zero value
for the second field in the R-structure lines.
However, in a univariate analysis with missing values that are not
fitted, there will be fewer residuals than data points -
there will be no value where the data was missing so this can
make it difficult to line up the values unless you can manipulate them
in another program (spreadsheet).
In the distribution you have, there is evidently a fixed factor with
a big effect compared to the other effects in the model.
I trust this helps.
Arthur
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> From: Alastair Currie <A.J.Currie@massey.ac.nz>
> To: ASREML Discussion group <asreml@ram.chiswick.anprod.csiro.au>
> Subject: Identity of resisuals
> Date: Mon, 1 Mar 1999 08:21:10 +1300
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>
> Hi,
>
> In a bivariate analysis that I have run, the residuals of one of the traits
> had a distribution similar to this:
>
> Residuals
> |
> | * * * *
> |* * * * * *
> | * * * * * *
> | * * * * *
> |* * * * * * *
> | * * * * *
> | * * * * *
> |* * * * * *
> | * * * * * *
> |____________________________________ Predicted
>
>
>
> The residuals in the SLN file do not have the identity data. Is there a way
> of identifying each residual?
>
> Thanks,
> Alastair Currie
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Arthur Gilmour PhD mailto: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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