stat340: Data and functions for BIAS at NMBU

#' STAT210prob14.13: Yield Experiment
#'
#' This is results after a process engineer tested the yield of a product
#' manufactured on three machines. Each machine can be operated at two power
#' settings and has three stations on which the product is formed. The machines
#' were tested at both power settings, and three observations on yield were
#' taken from each station. The runs were made in random order.
#'
#' @format A data frame with 54 observations (rows) and 4 variables (columns).
#'
#' \tabular{llllr}{
#'   \tab \bold{Column name} \tab \bold{Data type} \tab \bold{Description} \tab \bold{Values}\cr
#'   \code{[,1]} \tab \code{Machine} \tab factor \tab 3 machines were tested \tab (1, 2, 3)\cr
#'   \code{[,2]} \tab \code{Power} \tab factor \tab 2 levels of power settings \tab (1, 2)\cr
#'   \code{[,3]} \tab \code{Station} \tab factor \tab 3 stations per machine  \tab (1, 2, 3)\cr
#'   \code{[,4]} \tab \code{Yield} \tab numeric \tab Product yield from each station per run \tab (22.0 - 37.1)
#' }
#'
#' @details
#'
#' The data is from Exercise 14.13 in Design and Analysis of Experiments,
#' 9th Edition, EMEA Edition. In the exercise all three factors are assumed
#' fixed.
#'
#' @examples
#'
#' # Dimensions of the data frame
#' dim(STAT210prob14.13)
#'
#' # Number of replicates
#' table(STAT210prob14.13[, 1:3])
#'
#' @source
#'
#' Montgomery, D. C. (2019) \emph{Design and Analysis of Experiments,
#' 9th Edition, EMEA Edition}. New York: Wiley.
#'
#' @docType data
#' @keywords datasets
#' @name STAT210prob14.13
#' @usage STAT210prob14.13
#'
"STAT210prob14.13"