A very small, simple dataset with a balanced design, one fixed effect, and two traits. The design consists of 4 sire families, with 2 offspring per sire, one of each sex.
A data frame with 20 rows and the following 6 variables.
Identifier for individuals
Identifier for sires of individuals
Identifier for dams of individuals
A factor with levels
M. Sex of individual
A numeric vector. Clean wool weight in Kg observed for each individual
A numeric vector. Fibre diameter in microns observed for each individual
These data are intended to be used for testing and for demonstrating agreement with analysis of variance estimates in the balanced case.
This dataframe meets the minimal requirements for
dmm() function; that is its pedigree identifiers are suitably numbered and the base individuals are present. For an univariate analysis it can be utilized directly, without preprocessing by function
A small subset of real data from an Australian sheep flock.
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