R/ionosphere-data.R

In evclass: Evidential Distance-Based Classification

#' Ionosphere dataset
#'
#' This dataset was collected by a radar system and consists of phased array of 16
#' high-frequency antennas with a total transmitted power of the order of 6.4 kilowatts.
#' The targets were free electrons in the ionosphere. "Good" radar returns are those
#' showing evidence of some type of structure in the ionosphere. "Bad" returns are those
#' that do not.  There are 351 instances and 34 numeric attributes. The first 175
#' instances are training data, the rest are test data. This version of dataset was
#' used by Zouhal and Denoeux (1998).
#'
#' @docType data
#'
#' @usage data(ionosphere)
#'
#' @format A list with two elements:
#' \describe{
#' \item{x}{The 351 x 34 object-attribute matrix.}
#' \item{y}{A 351-vector containing the class labels.}
#' }
#'
#' @keywords datasets
#'
#' @references
#'
#' P. M.  Murphy and D. W. Aha.  UCI Reposition of machine learning databases.
#' [Machine readable data repository]. University of California, Departement of
#' Information and Computer Science, Irvine, CA.
#'
#' L. M. Zouhal and T. Denoeux. An evidence-theoretic k-NN rule with parameter
#' optimization. IEEE Transactions on Systems, Man and Cybernetics Part C,
#' 28(2):263--271,1998.
#'
#'
#' @examples
#' data(ionosphere)
#' table(vehicles$y)
"ionosphere"