stat340: Data and functions for BIAS at NMBU

#' Iris Train Data
#'
#' This data set is a subset of the \pkg{iris} data set: Edgar Anderson's Iris
#' Data. The length and width of the sepal and petal was measured for different
#' species of the iris plant.
#'
#' @format A data frame with 80 observations (rows) and 5 variables (columns).
#' \tabular{llllr}{
#'   \bold{ } \tab \bold{Column name} \tab \bold{Data type} \tab \bold{Description} \tab \bold{Values}\cr
#'   \code{[,1]} \tab \code{Sepal.Length} \tab numeric \tab Sepal length in cm \tab (5.0 - 7.9)\cr
#'   \code{[,2]} \tab \code{Sepal.Width} \tab numeric \tab Sepal width in cm \tab (2.0 - 3.8)\cr
#'   \code{[,3]} \tab \code{Petal.Length} \tab numeric \tab Petal length in cm \tab (3.0 - 6.9)\cr
#'   \code{[,4]} \tab \code{Petal.Width} \tab numeric \tab Petal width in cm \tab (1.0 -2.5)\cr
#'   \code{[,5]} \tab \code{Species} \tab factor \tab The iris species \tab (versicolor, virginica)
#' }
#'
#'
#'
#' @details
#'
#' The sepal and petal make up the perianth of the flower (floral envelope). The
#' sepal is the outermost whorl of the flower, while the petal is the inner
#' whorl.
#'
#' In this subset there are only 40 observations each of two of the three
#' species from the original data set (\emph{versicolor} and \emph{virginica}).
#' `iris.train` can be used to train a classification model, before `iris.test`
#' is used to evaluate this classifier.
#'
#' @seealso `iris.test`
#'
#' @examples
#'
#' # First six rows
#' head(iris.train)
#'
#' # Scatterplot matrix of the measurements
#' pairs(iris.train[, -5], col = iris.train[, "Species"])
#'
#' @docType data
#' @keywords datasets
#' @name iris.train
#' @usage iris.train
#'
"iris.train"