parkinson: Parkinsons Data Set

In imputeR: A General Multivariate Imputation Framework

Description

This dataset contains a range of biomedical voice measurements from 31 people, 23 with Parkinson's disease. Each row corresponds to one of 195 individuals and each column a measurement variable. This data was originally obtaind from the UCI Machine Learning Repository. For detailed information about the columns, see the reference and the source below. In the study of simulation, this dataset can be treated as continuous-only data

Format

A data frame with 195 rows and 22 variables

Details

• MDVP:Fo(Hz). Average vocal fundamental frequency

• MDVP:Fhi(Hz). Maximum vocal fundamental frequency

• MDVP:Flo(Hz). Minimum vocal fundamental frequency

• ...

Source

http://archive.ics.uci.edu/ml/datasets/Parkinsons

References

Little MA, McSharry PE, Roberts SJ, Costello DAE, Moroz IM, 2007 Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection, BioMedical Engineering OnLine

imputeR documentation built on Jan. 21, 2020, 1:06 a.m.