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VarSelLCM (version 2.1.3.1)

heart: Statlog (Heart) Data Set

Description

This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form.

Arguments

Details

12 variables are used to cluster the observations

  • age (integer)

  • sex (binary)

  • chest pain type (categorical with 4 levels)

  • resting blood pressure (continuous)

  • serum cholestoral in mg/dl (continuous)

  • fasting blood sugar > 120 mg/dl (binary)

  • resting electrocardiographic results (categorical with 3 levels)

  • maximum heart rate achieved (continuous)

  • exercise induced angina (binary)

  • the slope of the peak exercise ST segment (categorical with 3 levels)

  • number of major vessels colored by flourosopy (categorical with 4 levels)

  • thal: 3 = normal; 6 = fixed defect; 7 = reversable defect (categorical with 3 levels)

1 variable define a ''true'' partition: Absence (1) or presence (2) of heart disease

References

UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science: http://archive.ics.uci.edu/ml/datasets/statlog+(heart)

Examples

Run this code
# NOT RUN {
  data(heart)
# }

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