#' Function that takes population data from Danmarks Statistik and calculates population sizes in given brackets
#'
#' @param data dataframe. Tidy dataframe of DST population data
#' @param age_breaks numeric vector. Upper limit of each age bracket
#'
#' @return a dataframe with population sizes by age brackets
#'
#' @examples
#'
#'
#' @export
get_pop_by_breaks <-
function(data = "../data/tidy_DST_pop.csv", age_breaks) {
maxage <- age_breaks[length(age_breaks)-1] + 1
readr::read_csv2(data) %>%
dplyr::group_by(Year, Quarter, Sex, Age_cut = cut(Age, breaks = age_breaks)) %>%
dplyr::summarize(Population = sum(Population)) %>%
dplyr::rowwise() %>%
dplyr::mutate(
from = as.double(stringr::str_split(stringr::str_replace_all(Age_cut, "[\\(\\]]", ""), ",")[[1]][1]) + 1,
to = as.double(stringr::str_split(stringr::str_replace_all(Age_cut, "[\\(\\]]", ""), ",")[[1]][2]),
Age = dplyr::case_when(
from == maxage ~ paste0(maxage, "+"),
TRUE ~ paste(from, to, sep = "-")
)
) %>%
dplyr::select(-from, -to, -Age_cut)
}
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