R/data.R

In jpiironen/dimreduce: Supervised Dimension Reduction

#' Ovarian cancer microarray data.
#' 
#' @name ovarian
#' 
#' @usage data("ovarian", package="dimreduce")
#'
#' @format Binary classification data set.
#' \describe{
#'   \item{y}{target, 0 or 1.}
#'   \item{x}{features, 1536 in total.}
#' }
#'
"ovarian"

#' Colon cancer microarray data.
#' 
#' @name colon
#' 
#' @usage data("colon", package="dimreduce")
#'
#' @format Binary classification data set.
#' \describe{
#'   \item{y}{target, 0 or 1.}
#'   \item{x}{features, 2000 in total.}
#' }
#'
"colon"


#' Prostate cancer microarray data.
#'
#' @name prostate
#' 
#' @usage data("prostate", package="dimreduce")
#' 
#' @format Binary classification data set.
#' \describe{
#'   \item{y}{target, 0 or 1.}
#'   \item{x}{features, 5966 in total.}
#' }
#'
"prostate"


#' Leukemia cancer microarray data.
#' 
#' @name leukemia
#' 
#' @usage data("leukemia", package="dimreduce")
#'
#' @format Binary classification data set.
#' \describe{
#'   \item{y}{target, 0 or 1.}
#'   \item{x}{features, 7129 in total.}
#' }
#'
"leukemia"