R/wine.R

In bearloga/dpmclust: Bayesian Nonparametric Clustering Using 'DP-means' Algorithm

#' @title Wine Data Set
#' @description Using chemical analysis determine the origin of wines.
#' @format A `data.frame` with 178 rows and 13 variables:
#' \describe{
#'   \item{class}{[Cultivar](https://en.wikipedia.org/wiki/Cultivar)}
#'   \item{alcohol}{[Alcohol](https://en.wikipedia.org/wiki/Alcohol)}
#'   \item{malic_acid}{[Malic acid](https://en.wikipedia.org/wiki/Malic_acid) contributes to the pleasantly sour taste of fruits, and is used as a food additive}
#'   \item{ash}{Non-aqueous, non-gaseous residues that remain after something is burned}
#'   \item{ash_alcalinity}{Capacity to resist changes in pH}
#'   \item{magnesium}{[Magnesium](https://en.wikipedia.org/wiki/Magnesium)}
#'   \item{total_phenols}{The [phenolic content in wine](https://en.wikipedia.org/wiki/Phenolic_content_in_wine) refers to the phenolic compounds -- natural phenol and polyphenols -- in wine}
#'   \item{flavanoids}{[Flavonoids](https://en.wikipedia.org/wiki/Flavonoid) (from the Latin word *flavus* meaning yellow, their color in nature) are a class of plant and fungus secondary metabolites}
#'   \item{nonflavanoid_phenols}{[]()}
#'   \item{proanthocyanins}{[Proanthocyanidins](https://en.wikipedia.org/wiki/Condensed_tannin) are polymers formed by the condensation of flavans; they do not contain sugar residues}
#'   \item{color_intensity}{[Saturation](https://en.wikipedia.org/wiki/Colorfulness#Saturation) of a color is determined by a combination of light intensity and how much it is distributed across the spectrum of different wavelengths}
#'   \item{hue}{[Hue](https://en.wikipedia.org/wiki/Hue) is one of main properties of color}
#'   \item{protein_concentration}{OD280/OD315 of diluted wines}
#'   \item{proline}{[Proline](https://en.wikipedia.org/wiki/Proline) is a proteinogenic amino acid that is used in the biosynthesis of proteins}
#' }
#' @references
#' * Forina, M. et al, PARVUS - An Extendible Package for Data Exploration,
#'   Classification and Correlation. Institute of Pharmaceutical and Food
#'   Analysis and Technologies, Via Brigata Salerno, 16147 Genoa, Italy.
#' * Stefan Aeberhard
#' @source [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/wine)
"wine"