md.sex: md.sex
In missDeaths: Simulating and Analyzing Time to Event Data in the Presence of Population Mortality
Description
Usage
Arguments
Examples
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
1
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
1
2
3
4
5
6
7
## Not run:
library(missDeaths)
sim = md.simparams() +
md.sex("sex", 0.5)
## End(Not run)
missDeaths documentation built on Oct. 23, 2020, 6:39 p.m.
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Description Usage Arguments Examples
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
1 |
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
1 2 3 4 5 6 7 | ## Not run:
library(missDeaths)
sim = md.simparams() +
md.sex("sex", 0.5)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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