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globalboosttest (version 1.1-0)

simdatabin: Simulated data with binary outcome

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

data(simdatabin)

Arguments

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.

Details

Simulated data for demonstration purpose only.

See Also

simdatasurv

Examples

Run this code
# 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

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