heart.data: Dataset for glmpath

In glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model

Description

South African Heart Disease dataset used to test glmpath algorithm

Usage

data(heart.data)

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.

Examples

data(heart.data)
attach(heart.data)
fit <- glmpath(x, y, family=binomial)
detach(heart.data)

Example output

Loading required package: survival

glmpath documentation built on May 2, 2019, 4 p.m.