R/data.R

In bartMachine: Bayesian Additive Regression Trees

#' Data concerning automobile prices.
#'
#' @description
#' The \code{automobile} data frame has 201 rows and 25 columns and
#'   concerns automobiles in the 1985 Auto Imports Database. The response
#'   variable, \code{price}, is the log selling price of the automobile. There
#'   are 7 categorical predictors and 17 continuous / integer predictors which
#'   are features of the automobiles. 41 automobiles have missing data in one
#'   or more of the feature entries. This dataset is true to the original except
#'   with a few of the predictors dropped.
#'
#' @docType data
#' @name automobile
#' @usage data(automobile)
#' @source
#' K Bache and M Lichman. UCI machine learning repository, 2013.
#' http://archive.ics.uci.edu/ml/datasets/Automobile
#'
#' @keywords
#' datasets
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#' benchmark_datasets
#'
#' @description
#' Nine diverse datasets which were used for benchmarking bartMachine's out of sample performance in
#'   the vignette for this package.
#'
#' @docType data
#' @name benchmark_datasets
#' @usage data(benchmark_datasets)
#' @source
#' See vignette for details.
#'
#' @keywords
#' datasets
#'
#' @aliases ankara baseball boston compactiv ozone pole triazine wine.red wine.white
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