diabetes {dprep} | R Documentation |
The Pima Indian Diabetes dataset
Description
This is the Pima Indian diabetes dataset from the UCI Machine Learning Repository.
Usage
data(diabetes)
Format
A data frame with 768 observations on the following 9 variables.
- V1
- Number of times pregnant
- V2
- Plasma glucose concentration (glucose tolerance test)
- V3
- Diastolic blood pressure (mm Hg)
- V4
- Triceps skin fold thickness (mm)
- V5
- 2-Hour serum insulin (mu U/ml)
- V6
- Body mass index (weight in kg/(height in m)^2)
- V7
- Diabetes pedigree function
- V8
- Age (years)
- V9
- Class variable (1:tested positive for diabetes, 0: tested negative fro diabetes)
Source
The UCI Machine Learning Database Repository at:
Examples
#---Feature selection using SFS with the LDA classifier--
data(diabetes)
sfs(diabetes,"lda",repet=4)
[Package
dprep version 2.0
Index]