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Example dataset from the program package 'QUERCUS', developed by Ruth G. Shaw and Frank H. Shaw. Known to 'quercus' as the 'demo2' dataset.
data(quercus.df)A data frame with 180 observations on the following 6 variables.
IdIdentifier for individuals
SIdIdentifier for sires of individuals
DIdIdentifier for dams of individuals
SexA numeric vector: code for Sex of each individual
Trait1A numeric vector: an observation called Trait1
Trait2A numeric vector: an observation called Trait2
This is a simulated dataset suitable for a 3-component analysis, the components being environmental variance, additive genetic variance, and dominance genetic variance. It needs pre-processing with function mdf() to add base animals, to combine the two traits into a matrix, and to calculate additive and dominance relationship matrices.
library(dmm)
data(quercus.df)
str(quercus.df)
# preprocess
quercus.mdf <- mdf(quercus.df,pedcols=c(1:3),factorcols=4,ycols=c(5:6),
relmat=c("E","A","D"),sexcode=c(1,2))
str(quercus.mdf)
# cleanup
rm(quercus.df)
rm(quercus.mdf)
#
# there is a full analysis of this dataset in 'dmmOverview.pdf'.
#
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