heartc {dprep} | R Documentation

## The Heart Cleveland dataset

### Description

This dataset contains information concerning heart disease diagnosis. The data was collected from the Cleveland Clinic Foundation, and it is available at the UCI machine learning Repository. Six instances containing missing values have been deleted from the original dataset.

### Usage

    data(heartc)

### Format

A data frame with 297 observations on the following 14 variables.

V1
  age(continuous)
V2
  sex
V3
  cp, chest pain type:1,2,3,4
V4
  trestbps: resting blood pressure(continuous)
V5
  cholesterol(continuous)
V6
  fps: fatsing blood sugar>120? yes=1, no =0
V7
  restecg: resting electrocardiographic results, 0,1, 2
V8
  thalach: maximum heart rate achieved(continuous)
V9
  exang: exercise induced angina (1 = yes; 0 = no)
V10
  oldpeak = ST depression induced by exercise relative to rest (continuous)
V11
  slope: the slope of the peak exercise ST segment
V12
  ca: number of major vessels (0-3) colored by flourosopy
V13
  thal: 3 = normal; 6 = fixed defect; 7 = reversable defect
V14
  diagnosis of heart disease: 1: < 50 2: > 50

### Details

Six instances containing missing values have been deleted from the original dataset. This dataset includes continuous, binomial, nominal, and ordinal features.

### 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

    #----Detecting outliers using the Relief---
    data(heartc)
    relief(heartc,200,0.4,vnom=c(2,3,6,7,9,11:13))

[Package dprep version 1.0 Index]