Helper function that generates random age categories of absolute ages.
It is mainly used together with the functions pop.sim.gomp
and random.cat.apply. It will run until the number of categories
are reached and there are no gaps in the sequence left.
Helper function that applies random age categories to "known" absolute ages.
It is mainly used together with the functions pop.sim.gomp
and random.cat.
Usage
random.cat(n_cat = 20, min_age = 15, max_cat_low = 60, max_age = 74)
random.cat.apply(x, age, age_ranges, from, to)Arguments
- n_cat
numeric. Number of categories, default: 20.
- min_age
numeric. Minimum age, default: 15.
- max_cat_low
numeric. Lower boundary of highest age categoriy, default: 60.
- max_age
numeric. Maximum age, default: 74.
- x
a data.frame with individual absolute ages.
- age
the column containing the individual absolute ages.
- age_ranges
a data.frame with age ranges.
- from
numeric. Column name for the begin of an age range.
- to
numeric. Column name for the end of an age range.
Value
One data.frame with the following items:
from: Lower boundary of age category.
to: Upper boundary of age category.
The original data.frame x with two additional columns:
from: Lower boundary of age category.
to: Upper boundary of age category.
Examples
sim_ranges <- random.cat()
# Simulate population and age ranges first
pop_sim <- pop.sim.gomp(n = 10000)
sim_ranges <- random.cat()
# apply random age categories to simulated ages
sim_appl <- random.cat.apply(pop_sim$result, age = "age",
age_ranges = sim_ranges, from = "from", to = "to")