The normal nexty step would be to transform from the underlying scale
to the p scale using zz/pq where p is the average incidence,
q=(1-p) and zz is z-squared where z is the ordinate of the Normal curve
corresponding to the proportion. So if p=0.5, z=..399 and the factor is .64
H2 on the underlying scale is .499917/1.499917 = .3333
so h2 on the p scale is 0.21
You can get the variance of h2 from asreml (.pin file)
and scale it similarly.
Arthur
> X-Sender: hmontald@metz.une.edu.au
> Date: Fri, 27 Nov 1998 13:24:07 +1100
> To: asreml@ram.chiswick.anprod.csiro.au
> From: Hugo Montaldo <hmontald@metz.une.edu.au>
> Subject: And now what?
> Mime-Version: 1.0
>
> Dear members of the ASREML list:
>
> I got this results from a binomial animal model. All data were zeroes or ones.
>
> Variance heterogenity factor [Deviance/DF] 0.32
>
> Source Model terms Gamma Component Compnt/StndErr
> animal 4775 4775 0.499917 0.499917 2.04 P
> Variance 4279 4179 1.00000 1.00000 0.00 F
>
> the link function is the default (logit),
>
> How can I get the h2, the variances and the s.e.'s in the original scale?.
>
> Thank you,
>
> Hugo Montaldo
> **************************************************************************
> Hugo H. Montaldo
> Research Fellow
> Division of Animal Science Phone: 61-2-6773-3004
> University of New England Fax: 61-2-6773-3275
> Armidale, NSW 2351 E-mail: hmontald@metz.une.edu.au
> Australia
>
> **************************************************************************
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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
Orange Agricultural Institute telephone work: <61> 2 6391 3815
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