R/parkinson.R

In natydasilva/PPtreeExt: Projection Pursuit Classification Tree extensions

#' Parkinson data set
#' 
#' A data set containing 195 observations from 2 parkinson types.
#' \itemize{
#'  \item{Type}{ Class variable has 2 classes, there are 48 cases of healthy people and 147 cases with Parkinson. The feature variables are biomedical voice measures}. 
#'   \item{X1}{ Average vocal fundamental frequency}
#'   \item{X2}{ Maximum vocal fundamental frequency} 
#'   \item{X3}{ Minimum vocal fundamental frequency}
#'   \item{X4}{ MDVP:Jitter(\%) measures of variation in fundamental frequency}
#'   \item{X5}{ MDVP:Jitter(Abs) measures of variation in fundamental frequency}
#'   \item{X6}{ MDVP:RAP measures of variation in fundamental frequency}
#'   \item{X7}{ MDVP:PPQ measures of variation in fundamental frequency}
#'   \item{X8}{ Jitter:DDP measures of variation in fundamental frequency}
#'   \item{X9}{ MDVP:Shimmer measures of variation in amplitude}
#'   \item{X10}{ MDVP:Shimmer(dB) measures of variation in amplitude}
#'   \item{X11}{ Shimmer:APQ3 measures of variation in amplitude}
#'   \item{X12}{ Shimmer:APQ5 measures of variation in amplitude}
#'   \item{X13}{ MDVP:APQ measures of variation in amplitude}
#'   \item{X14}{ Shimmer:DDA measures of variation in amplitude}
#'   \item{X15}{ NHR measures of ratio of noise to tonal components in the voice}
#'   \item{X16}{ HNR measures of ratio of noise to tonal components in the voice}
#'   \item{X17}{ RPDE nonlinear dynamical complexity measures}
#'   \item{X18}{ D2 nonlinear dynamical complexity measures}
#'   \item{X19}{ DFA - Signal fractal scaling exponent}
#'   \item{X20}{ spread1 Nonlinear measures of fundamental frequency variation}
#'   \item{X21}{ spread2 Nonlinear measures of fundamental frequency variation}
#'   \item{X22}{ PPE Nonlinear measures of fundamental frequency variation}
#' }
#' @docType data
#' @keywords datasets
#' @name parkinson
#' @usage data(parkinson)
#' @format A data frame with 195 rows and 23 variables
#' @source url{https://archive.ics.uci.edu/ml/datasets/Parkinsons}
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