#' @title Data of corn
#' @name corn
#' @docType data
#' @keywords datasets
#' @usage data(corn)
#' @description
#' Data from a completely randomized design where four different methods of
#' growing corn resulted in various yields per acre on various plots of ground
#' where the four methods were tried. Ordinarily, only one statistical analysis
#' is used, but here we will use the kuskal-wallis test so that a rough
#' comparison may be made with the mediasn test.
#'
#' The observations are ranked from the smallest, 77, of rank 1 to the largest
#' 101, of rank N=34. Ties values receive the averarge rank.
#'
#' @format
#' A \code{data.frame} with 34 observations on the following 3 variables.
#'
#' @details
#' \itemize{
#' \item{\strong{method}} method
#' \item{\strong{v}} observation
#' \item{\strong{rx}} rx
#' \item{\strong{E9}} infestans percentage to 9 days
#' \item{\strong{AUDPC}} the area under the disease-progress curve
#' \item{\strong{Relative}} relative area
#' }
#'
#' @references
#' Practical Nonparametrics Statistics. W.J. Conover. Third Edition, 1999.
#'
#' @source
#' Book: Practical Nonparametric Statistics.
#'
#' @keywords datasets
#' @examples
#'
#' data(corn)
#' str(corn)
#'
NULL
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