This changes population data to have age groups with the given age.limits, extrapolating linearly between age groups (if more are requested than available) and summing populations (if fewer are requested than available)
Usage
pop_age(
pop,
age.limits,
pop.age.column = "lower.age.limit",
pop.column = "population",
...
)Arguments
- pop
a data frame with columns indicating lower age limits and population sizes (see 'age.column' and 'pop.column')
- age.limits
lower age limits of age groups to extract
- pop.age.column
column in the 'pop' data frame indicating the lower age group limit
- pop.column
column in the 'pop' data frame indicating the population size
- ...
ignored
Examples
ages_it_2015 <- wpp_age("Italy", 2015)
# Modify the age data.frame to get age groups of 10 years instead of 5
pop_age(ages_it_2015, age.limit = seq(0, 100, by = 10))
#> lower.age.limit population
#> 1 0 5364003
#> 2 10 5592457
#> 3 20 5961399
#> 4 30 7291448
#> 5 40 9506109
#> 6 50 8773851
#> 7 60 7351345
#> 8 70 5689656
#> 9 80 3300856
#> 10 90 655885
#> 11 100 17203
# The function will also automatically interpolate if necessary
pop_age(ages_it_2015, age.limit = c(0, 18, 40, 65))
#> Warning: Not all age groups represented in population data (5-year age band).
#> Linearly estimating age group sizes from the 5-year bands.
#> lower.age.limit population
#> 1 0 9841066
#> 2 18 14368241
#> 3 40 21988054
#> 4 65 13306851