# 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

1 |

### 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

1 2 3 4 5 6 7 8 9 | ```
# 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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