simulateCovariateData {glmfitmiss} | R Documentation |
Simulate data with independent categorical covariates
Description
This function generates a simulated data with independent categorical covariates. The first two covariates namely x1 and x2 are generated using random normal rnorm(n, 40, 20) and random poisson rpois(n, lambda = 4).The remaining covariates are generated at random with categories 0,1,2.
Usage
simulateCovariateData(n, nCov = 2)
Arguments
n |
numner of observations to be generated for the data |
nCov |
4+ number of covariates to be generated for the data, the first 4 covariates generated based on pre-specified distributions |
Value
returns a data frame with covariates x1, x2, ...
Examples
simulateCovariateData(10, nCov=15)
[Package glmfitmiss version 2.1.0 Index]