| parkinson {PPforest} | R Documentation |
Parkinson data set
Description
A data set containing 195 observations from 2 parkinson types.
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.
X1 Average vocal fundamental frequency
X2 Maximum vocal fundamental frequency
X3 Minimum vocal fundamental frequency
X4 MDVP:Jitter(%) measures of variation in fundamental frequency
X5 MDVP:Jitter(Abs) measures of variation in fundamental frequency
X6 MDVP:RAP measures of variation in fundamental frequency
X7 MDVP:PPQ measures of variation in fundamental frequency
X8 Jitter:DDP measures of variation in fundamental frequency
X9 MDVP:Shimmer measures of variation in amplitude
X10 MDVP:Shimmer(dB) measures of variation in amplitude
X11 Shimmer:APQ3 measures of variation in amplitude
X12 Shimmer:APQ5 measures of variation in amplitude
X13 MDVP:APQ measures of variation in amplitude
X14 Shimmer:DDA measures of variation in amplitude
X15 NHR measures of ratio of noise to tonal components in the voice
X16 HNR measures of ratio of noise to tonal components in the voice
X17 RPDE nonlinear dynamical complexity measures
X18 D2 nonlinear dynamical complexity measures
X19 DFA - Signal fractal scaling exponent
X20 spread1 Nonlinear measures of fundamental frequency variation
X21 spread2 Nonlinear measures of fundamental frequency variation
X22 PPE Nonlinear measures of fundamental frequency variation
Usage
data(parkinson)
Format
A data frame with 195 rows and 23 variables
Source
urlhttps://archive.ics.uci.edu/ml/datasets/Parkinsons