simdatasurv: Simulated data with survival outcome

In globalboosttest: Testing the additional predictive value of high-dimensional data

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(simdatasurv)

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.
status	A numeric vector of length 50 giving the survival status with values 0 (alive) and 1 (dead).
time	A numeric vector of length 50 giving the observation time (which equals the survival time for subjects with status=1)
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

simdatabin

Examples

# load globalboosttest library
library(globalboosttest)

# load the simulated data with survival outcome
data(simdatasurv)
# Visualize the dimensions
dim(simdatasurv$X)
dim(simdatasurv$Z)
simdatasurv$status
simdatasurv$time

globalboosttest documentation built on May 2, 2019, 2:09 a.m.