Simulated data with binary outcome

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Description

Simulated data with binary outcome Y. The data X and Z are non-informative in the sense that they were randomly generated independently of Y.

Usage

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Details

Simulated data for demonstration purpose only.

Value

A list with the following arguments:

X

A 50 x 200 matrix (with observations in rows and variables in columns) whose additional predictive value has to be tested.

Y

A vector of length 50 and type factor

Z

A 50 x 5 matrix (with observations in rows and variables in columns) on which we want to condition.

Author(s)

Anne-Laure Boulesteix (http://www.ibe.med.uni-muenchen.de/organisation/mitarbeiter/020_professuren/boulesteix/eng.html)

See Also

simdatasurv

Examples

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# load globalboosttest library
library(globalboosttest)

# load the simulated data with binary outcome
data(simdatabin)
# Visualize the dimensions
dim(simdatabin$X)
dim(simdatabin$Z)
simdatabin$Y