# sampleData: Simulate data with binary or time-to-event outcome In riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

 sampleData R Documentation

## Simulate data with binary or time-to-event outcome

### Description

Simulate data with binary outcome and 10 covariates.

### Usage

```sampleData(n,outcome="competing.risks",
formula= ~ f(X1,2)+f(X2,-0.033)+f(X3,0.4)+f(X6,.1)+f(X7,-.1)+f(X8,.5)+f(X9,-1),
intercept=0)
sampleDataTD(n,n.intervals=5,outcome="competing.risks",
formula= ~ f(X1,2)+f(X2,-0.033)+f(X3,0.4)+f(X6,.1)+f(X7,-.1)+f(X8,.5)+f(X9,-1))
```

### Arguments

 `n` Sample size `outcome` Character vector. Response variables are generated according to keywords: `"binary"` = binary response, `"survival"` = survival response, `"competing.risks"` = competing risks response `formula` Specify regression coefficients `intercept` For binary outcome the intercept of the logistic regression. `n.intervals` `sampleDataTD` only: the maximum number of episodes in which the covariates are updated.

### Details

For the actual lava::regression parameters see the function definition.

### Value

Simulated data as data.table with n rows and the following columns: Y (binary outcome), time (non-binary outcome), event (non-binary outcome), X1-X5 (binary predictors), X6-X10 (continous predictors)

### Author(s)

Thomas A. Gerds <tag@biostat.ku.dk>

lvm

### Examples

```set.seed(10)
sampleData(10,outcome="binary")
sampleData(10,outcome="survival")
sampleData(10,outcome="competing.risks")
```

riskRegression documentation built on March 23, 2022, 5:07 p.m.