md.sex: md.sex

In missDeaths: Simulating and Analyzing Time to Event Data in the Presence of Population Mortality

md.sex

Description

Creates information of a sex covariate that is a special case of Bernoulli covariate specifying 1 for male and 2 for female sex. This function call must be added to the md.simparams object.

Usage

md.sex(name, maleperc = 0.5, asfactor = FALSE)

Arguments

name	name of the covariate
maleperc	percentage of males (value = 1) versus females (value = 2)
asfactor	specifies whether the resulting sex covariate is factorized using as.factor or not

Examples

## Not run: 
library(missDeaths)

sim = md.simparams() +
   md.sex("sex", 0.5)

## End(Not run)

missDeaths documentation built on Oct. 7, 2024, 1:25 a.m.