HeartDisease.cat: Mixed data : Cleveland Heart Disease Data

Description

The Cleveland Heart Disease Data found in the UCI machine learning repository consists of 14 variables measured on 303 individuals who have heart disease. The individuals had been grouped into five levels of heart disease. The information about the disease status is in the HeartDisease.target data set.

Arguments

Format

Three data frames with 303 observations on the following 14 variables.

age: age in years
sex: sex (1 = male; 0 = female)
cp: chest pain type. 1: typical angina, 2: atypical angina, 3: non-anginal pain, 4: asymptomatic
trestbps: resting blood pressure (in mm Hg on admission to the hospital)
chol: serum cholestoral in mg/dl
fbs: (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)
restecg: resting electrocardiographic results. 0: normal, 1: having ST-T wave abnormality (T wave inversions and/or ST, elevation or depression of > 0.05 mV) 2: showing probable or definite left ventricular hypertrophy by Estes\' criteria
thalach: maximum heart rate achieved
exang: exercise induced angina (1 = yes; 0 = no)
oldpeak: ST depression induced by exercise relative to rest
slope: the slope of the peak exercise ST segment 1: upsloping, 2: flat, 3: downsloping
ca: number of major vessels (0-3) colored by flourosopy (4 missing values)
thal: 3 = normal; 6 = fixed defect; 7 = reversable defect (2 missing values)
num: diagnosis of heart disease (angiographic disease status). 0: < 50 1: > 50 (in any major vessel: attributes 59 through 68 are vessels)

Details

The variables consist of five continuous and eight discrete attributes, the former in the HeartDisease.cont data set and the later in the HeartDisease.cat data set. Three of the discrete attributes have two levels, three have three levels and two have four levels. There are six missing values in the data set.

Examples

Run this code

summary(data(HeartDisease.cat))
summary(data(HeartDisease.cont))
summary(data(HeartDisease.target))

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