stat340: Data and functions for BIAS at NMBU

#' STAT210example5.3: The Soft Drink Bottling Problem
#'
#' A soft drink bottler is interested in obtaining more uniform fill heights in
#' bottles. The filling machine theoretically fills each bottle to the correct
#' target height, but in practice, there is variation around this target. To
#' understand the sources of variability, the process engineer runs two
#' replicates of a factorial design and controls three factors during the
#' filling process. This data shows the average deviation from the
#' target fill height for 24 production runs.
#'
#' @format A data frame with 24 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{percent_carbonation} \tab factor \tab 3 levels of carbonation in percentage \tab (10, 12, 14)\cr
#'   \code{[,2]} \tab \code{operation_pressure} \tab factor \tab Operating pressure in psi \tab (25, 30)\cr
#'   \code{[,3]} \tab \code{line_speed} \tab factor \tab 2 levels of line speed in bpm \tab (200, 250)\cr
#'   \code{[,4]} \tab \code{height_deviation} \tab integer \tab Average fill deviation \tab (-3 - 11)
#' }
#'
#' @details
#'
#' The data is from Example 5.3 in Design and Analysis of Experiments,
#' 9th Edition, EMEA Edition.
#'
#' @examples
#'
#' # A short summary of the variables
#' summary(STAT210example5.3)
#'
#' # First six and last 10 rows
#' head(STAT210example5.3)
#' tail(STAT210example5.3, n = 10)
#'
#' @source Montgomery, D. C. (2019) \emph{Design and Analysis of Experiments,
#' 9th Edition, EMEA Edition}. New York: Wiley.
#'
#' @docType data
#' @keywords datasets
#' @name STAT210example5.3
#' @usage STAT210example5.3
#'
"STAT210example5.3"