stat340: Data and functions for BIAS at NMBU

#' ListeriaStore: Listeria in Ham
#'
#' This is simulated data based on real experiments by Animalia AS (to mimic
#' realistic variance). The density of the bacterial genus Listeria was measured
#' on six brands of ham from different grocery stores. The measurements were
#' done on cold cuts of ham and by counting the number of colony-forming units
#' per gram.
#'
#' @format A data frame with 48 observations (rows) and 3 variables (columns).
#' \tabular{llllr}{
#'   \tab \bold{Column name} \tab \bold{Data type} \tab \bold{Description} \tab \bold{Values}\cr
#'   \code{[,1]} \tab \code{ListeriaNumber} \tab numeric \tab Listeria density in cfu/g \tab (635.3076 - 15994102)\cr
#'   \code{[,2]} \tab \code{HamTopping} \tab factor \tab 6 brands of ham \tab (HamT1...HamT6)\cr
#'   \code{[,3]} \tab \code{GroceryStore} \tab factor \tab 4 different stores \tab (Store1...Store4)
#' }
#'
#' @details
#'
#' Cold cuts of ham are available in a large number of brands, differing
#' slightly in thickness, packing method, producers, addings etc. A research
#' group wanted to test the hypothesis if the brand of cold cuts of ham had any
#' effect on Listeria growth. They soon realized that they could not test all
#' brands. Thus, they randomly picked 6 brands of cold cuts of ham and for those
#' 6 brands they randomly picked 8 replicates. These replicates were picked in 4
#' different grocery stores, 2 replicates for each brand in each store.
#'
#' This data was used for compulsory assignment in STAT210 H20, and in Exercises
#' for STAT210 (exercise 20) in August 2022.
#'
#' @examples
#'
#' # First six rows
#' head(ListeriaStore)
#'
#' # Linear model
#' lm(ListeriaNumber ~ HamTopping, data = ListeriaStore)
#'
#' @source
#'
#' The data is created by Lars Erik Gangsei.
#'
#' @docType data
#' @keywords datasets
#' @name ListeriaStore
#' @usage ListeriaStore
#'
"ListeriaStore"