dmm (version 2.1-7)

tstmo1.df: Dfreml example dataset

Description

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.

Usage

data(tstmo1.df)

Format

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

Details

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. ”

References

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

Examples

library(dmm)
data(tstmo1.df)
str(tstmo1.df)
rm(tstmo1.df)
#
# There is a full analysis of this dataset in 'dmmOverview.pdf'.
#