R/data_doc_cancer_w.R

In rebordao/modellatoR: Automatic deployment of a statistical model; from data to reporting.

#' @name cancer_w
#' @title BNG Breast Cancer Wisconsin
#' @description This dataset is intended to be used in the modellatoR demos
#' for classification. It's a larger version of the Breast Cancer Wisconsin
#' dataset made via a Bayesian Network trained on the original dataset and
#' then using it to create pseudo instances.
#' @docType data
#' @usage cancer_w
#' @format A data.frame with 39366 rows and 10 variables. Each row contains 9
#' predictors and 1 response (\code{Class}).
#' \itemize{
#'  \item \code{Clump_Thickness}: num  4.8 5.59 5.17 8.21 1 ...
#' 	\item \code{Cell_Size_Uniformity}: num  1 1 1 4.56 1 ...
#' 	\item \code{Cell_Shape_Uniformity}: num  1 1 1 5.43 1 ...
#' 	\item \code{Marginal_Adhesion}: num  1 1 1 3.97 1 ...
#' 	\item \code{Single_Epi_Cell_Size}: num  2 2 2 3 2 2 1 2 2 2 ...
#' 	\item \code{Bare_Nuclei}: num  1 1 1 6.74 1 ...
#' 	\item \code{Bland_Chromatin}: num  2 2 3 9.16 1 ...
#' 	\item \code{Normal_Nucleoli}: num  1 1 1 10 1 ...
#' 	\item \code{Mitoses}: num  1 1 1 1 1 1 1 1 1 1 ...
#' 	\item \code{Class}: Factor w/ 2 levels "benign","malignant": 1 1 1 2 1 1 1 1 1 1 ...
#' }
#' @source openML - \href{http://www.openml.org/d/251}{dataset 251}
#' @author This extended version was made by Geoffrey Holmes,
#' Bernhard Pfahringer, Jan van Rijn and Joaquin Vanschoren.
#'
#' The original dataset was made by Dr. WIlliam H. Wolberg and donated by
#' Olvi Mangasarian and David W. Aha.
#' @keywords modellatoR, datasets
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