stat340: Data and functions for BIAS at NMBU

#' pines: Experiment with pine trees in growth chambers
#'
#' An experiment where the effect of genetics and some foliage treatments on the
#' gene expression of pine trees were investigated. There are 4 genetic families
#' 3 treatments in a full factorial design. Then, for each treatment/family
#' combination seeds were sown into 4 boxes, in total 3x4x4 = 48 boxes. These
#' were placed randomly in a growth chamber. After some weeks 5 plants from
#' each box were harvested and gene expression was measured by qPCR.
#'
#' These data are not from the real experiment, but from a simulation done
#' before the experiments were conducted, in order to investigate the power
#' of various analyses under various assumptions
#'
#' @format A data frame with 240 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{ddCt} \tab numeric \tab Gene expression values \tab (-17.93 - 8.84)\cr
#'   \code{[,2]} \tab \code{Treatment} \tab integer \tab The foliage treatment \tab (Control, MeJA, PipA)\cr
#'   \code{[,3]} \tab \code{Family} \tab integer \tab The genetic families \tab (a,b,c,d)\cr
#'   \code{[,4]} \tab \code{Box} \tab integer \tab The box where the seeds grow, nested under each Treatment/Family combination \tab (1 - 4)\cr
#' }
#'
#' @examples
#'
#' # Plot
#' library(ggplot2)
#' ggplot(pines, aes(x = Treatment, y = ddCt, color = factor(Box))) +
#'  geom_point(size = 4, alpha = 0.5) +
#'  facet_wrap(~Family, nrow = 2)
#'
#' @docType data
#' @keywords datasets
#' @name pines
#' @usage pines
#'
"pines"