quercus.df: Quercus example dataset
In dmm: Dyadic Mixed Model for Pedigree Data

Description Usage Format Details Source Examples

Example dataset from the program package 'QUERCUS', developed by Ruth G. Shaw and Frank H. Shaw. Known to 'quercus' as the 'demo2' dataset.

1	data(quercus.df)

A data frame with 180 observations on the following 6 variables.

Id: Identifier for individuals
SId: Identifier for sires of individuals
DId: Identifier for dams of individuals
Sex: A numeric vector: code for Sex of each individual
Trait1: A numeric vector: an observation called Trait1
Trait2: A 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.

http://cbs.umn.edu/academics/departments/eeb/quercus

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'.
#