Example dataset from the program 'DFREML', developed by Karin Meyer. Known to 'DFREML' as the 'Example 1' dataset. A univariate dataset with 282 individuals in a 2 generation pedigree with full-sib families.

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A data frame with 282 observations on the following 6 variables.

`Id`

Identifier for individuals

`SId`

Identifier for sires of individuals

`DId`

Identifier for dams of individuals

`Sex`

A factor: Sex of each individual

`Gen`

A numeric vector: generation number of each individual

`Weight`

A numeric vector: weight in ? of each individual

Karin Meyer gives the following description of these data:

“ .... The test data given is that used by Meyer(1989) to illustrate univariate REML estimation via a derivtive-free algorithm. They are simulated records for a trait with a phenotypic variance of 100, direct heritability of 0.40, maternal heritability of 0.20, maternal-direct covariance (divided by 100) of -0.05, and a "c-squared" effect of 0.15. Data were generated for 2 generations of animals with a heirarchical full-sib family structure, yielding a total of 282 records and 306 animals in the analysis with generations as the only fixed effect. ”

DFREML Version 3.0 User Notes. Karin Meyer. September 9,1998.

These data were distributed with the DFREML program. Note DFREML is not currently available.

Meyer,K.(1989) Restricted Maximum Likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. Genet. Select. Evol. 21:317-340

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