#' Meta data on the plots including randomization
#'
#' Information on each of the plots in this experiment.
#'
#' @format A data frame with 21 observations and 8 variables:
#' \code{field}: the field id
#' \code{block}: the block id
#' \code{whole_plot}: the wholeplot for randomization of harvest year
#' \code{area_acre}: plot area in acres
#' \code{manure}: "yes" if manure was previously used on the plot and "no" otherwise
#' \code{x}: approximate field x coordinate for plotting
#' \code{y}: approximate field y coordinate for plotting
#' \code{trt}: the shorthand randomized (except for the non-manure plots) treatment
#' \code{treatment}: the long treatment name
#'
#' @details This experiment is a blocked split-plot design, i.e. within each
#' block there is a split-plot. Each block has 6 fields which are plot into 2
#' whole plots for randomization of initial harvest year. Within each whole plot
#' there are 3 fields which are randomly assigned one of three treatments (FB,
#' LoDiv, and HiDiv).
#'
#' This design was chosen because initial harvest year is not of scientific
#' interest as future use of prairie as a energy/fuel source will need a steady
#' flow of harvested prairie and therefore there will always be an alternating
#' pattern in field harvest which is initiated by a one-year separation in
#' initial harvest year.
#'
#' The use of manure was not randomized and thus these three fields are
#' considered an augment of the design. The impact of manure on the FB treatment
#' is not of interest, but it is of interest on LoDiv and HiDiv. To increase
#' power, we decided to compare a single treatment with and without manure.
#' We decided to use HiDiv since if there is negligible effect of manure on
#' HiDiv, then we might reasonably infer negligible effect of manure on LoDiv
#' while the converse does not seem to be immediate.
"fields"
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