#' Sugar beets data
#'
#' Yield and sugar percentage in sugar beets from a split plot
#' experiment. The experimental layout was as follows: There were
#' three blocks. In each block, the harvest time defines the
#' "whole plot" and the sowing time defines the "split plot". Each
#' plot was \eqn{25 m^2} and the yield is recorded in kg. See
#' 'details' for the experimental layout. The data originates from
#' a study carried out at The Danish Institute for Agricultural
#' Sciences (the institute does not exist any longer; it became
#' integrated in a Danish university).
#'
#' @name data-beets
#' @docType data
#' @format A dataframe with 5 columns and 30 rows.
#' @concept data
#'
#' @details
#' \preformatted{
#' Experimental plan
#' Sowing times 1 4. april
#' 2 12. april
#' 3 21. april
#' 4 29. april
#' 5 18. may
#' Harvest times 1 2. october
#' 2 21. october
#' Plot allocation:
#' Block 1 Block 2 Block 3
#' +-----------|-----------|-----------+
#' Plot | 1 1 1 1 1 | 2 2 2 2 2 | 1 1 1 1 1 | Harvest time
#' 1-15 | 3 4 5 2 1 | 3 2 4 5 1 | 5 2 3 4 1 | Sowing time
#' |-----------|-----------|-----------|
#' Plot | 2 2 2 2 2 | 1 1 1 1 1 | 2 2 2 2 2 | Harvest time
#' 16-30 | 2 1 5 4 3 | 4 1 3 2 5 | 1 4 3 2 5 | Sowing time
#' +-----------|-----------|-----------+
#' }
#'
#' @references Ulrich Halekoh, Søren Højsgaard (2014)., A Kenward-Roger
#' Approximation and Parametric Bootstrap Methods for Tests in Linear Mixed
#' Models - The R Package pbkrtest., Journal of Statistical Software,
#' 58(10), 1-30., \url{https://www.jstatsoft.org/v59/i09/}
#'
#' @keywords datasets
#'
#' @examples
#' data(beets)
#'
#' beets$bh <- with(beets, interaction(block, harvest))
#' summary(aov(yield ~ block + sow + harvest + Error(bh), beets))
#' summary(aov(sugpct ~ block + sow + harvest + Error(bh), beets))
#'
"beets"
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