R/banknote.R

In qcluster: Clustering via Quadratic Scoring

#' Swiss Banknotes Data
#'
#' Data from Tables 1.1 and 1.2 (pp. 5-8) of Flury and Riedwyl
#' (1988). There are six measurements made on 200 Swiss
#' banknotes (the old-Swiss 1000-franc). The banknotes belong to two
#' classes of equal size: \emph{genuine} and \emph{counterfeit}.
#'
#' @format A \code{data.frame} of dimension \code{200x7} with the following
#'   variables:
#'   \describe{
#'     \item{Class}{a \code{factor} with classes: \code{genuine},
#'     \code{counterfeit}}
#'     \item{Length}{Length of bill (mm)}
#'     \item{Left}{Width of left edge (mm)}
#'     \item{Right}{Width of right edge (mm)}
#'     \item{Bottom}{Bottom margin width (mm)}
#'     \item{Top}{Top margin width (mm)}
#'     \item{Diagonal}{Length of diagonal (mm)}
#'   }
#'
#' @source
#' Flury, B. and Riedwyl, H. (1988).
#' \emph{Multivariate Statistics: A practical approach.}
#' London: Chapman & Hall.
#'
#' @docType data
#' @keywords datasets
#' @name banknote
NULL