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
A data frame with 195 rows and 22 variables
MDVP:Fo(Hz). Average vocal fundamental frequency
MDVP:Fhi(Hz). Maximum vocal fundamental frequency
MDVP:Flo(Hz). Minimum vocal fundamental frequency
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
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.