South African Heart Disease dataset used to test glmpath
algorithm
Usage
data(heart.data)
Arguments
Format
A dataset with 462 observations on 9 variables and a binary
response.
x
x contains 9 columns of the following variables:
sbp (systolic blood pressure); tobacco (cumulative tobacco); ldl
(low density lipoprotein cholesterol); adiposity; famhist (family
history of heart disease); typea (type-A behavior); obesity;
alcohol (current alcohol consumption); age (age at onset)
y
response, coronary heart disease
References
Hastie, T., Tibshirani, R., and Friedman, J. (2001)
Elements of Statistical Learning; Data Mining, Inference, and
Prediction Springer-Verlag, New York.