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:

- ftp://ftp.ics.uci.edu/pub/machine-learning-databases
- http://www.ics.uci.edu/~mlearn/MLRepository.html

### Examples

    #---Feature selection using SFS with the LDA classifier--
    data(diabetes)
    sfs(diabetes,"lda",repet=5)

[Package dprep version 1.0 Index]