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#' @title A simulated data set to get quickly started
#'
#' @description This data set contains a genotype matrix, phenotype vectors for
#' three traits (stored in a matrix with three columns) and a vector of groups.
#' The data resembles a sample of a dairy cattle population. The sample includes
#' 1000 individuals and 466 genotypes. For the simulation, a mixed model without
#' fixed effects was used.
#'
#' @name seagull_data
#'
#' @docType data
#'
#' @author Jan Klosa \email{klosa@fbn-dummerstorf.de}
#'
#' @format A data set which is based on 1000 individuals and 466 explanatory
#' variables.
#' \describe{
#' \item{genotypes}{a genotype matrix that contains information from single
#' nucleotide polymorphisms (SNPs). Dimensions are 1000 rows, 466 columns. The
#' data was simulated using the software
#' \href{https://alphagenes.roslin.ed.ac.uk}{AlphaSim} of which an R-package
#' is available. Each row corresponds to a single individual. 1000 individuals
#' were simulated, where 10 half sib families were created. Each family
#' consists of 100 half sibs. The half sibs share a common Sire. 466 SNPs are
#' available, distributed over 2 chromosomes to an equal amount, i.e., the
#' first 233 SNPs are located on chromosome 1, the remaining SNPs are on the
#' second chromosome. The complementary homozygote genotypes are coded as 0
#' and 2, respectively. The heterozygote genotype as 1.}
#' \item{groups}{a vector of integers which assigns each variable (genotype
#' marker) to a particular group. The clustering was performed via the R
#' package \href{http://www.math-evry.cnrs.fr/publications/logiciels}{BALD}.
#' This package uses linkage disequilibrium as a measure of proximity. In
#' total, 98 groups are available. Group sizes vary from 1 to 23. The median
#' of group sizes is equal to 3. For more details about the distribution of
#' the group sizes, please check out the example on this page:
#' \code{\link[seagull]{groups}}.}
#' \item{phenotypes}{a matrix consisting of 1000 rows and 3 columns. Each row
#' corresponds to a different individual. Each column corresponds to a
#' different trait. The different traits were simulated to be uncorrelated to
#' one another. The trait in the first, second, and third column have a
#' heritability equal to 0.1, 0.3, and 0.5, respectively.}
#' }
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