library(tidyverse)
# simulates a standard population
# define demographic variables
age_group <- c(
paste(seq(0, 85, by = 5), seq(4, 89, by = 5), sep = "-"),
paste0(90, "+")
)
sex <- c("F", "M")
# generate all combinations of demographic variables
std_population <- expand.grid(age_group = age_group, sex = sex)
# randomly generate size of each subgroup of the standard population
# run code with provided seed and reset it afterwards
std_population <- std_population %>%
mutate(std_popn = with_seed(123, sample(50000:200000, nrow(std_population), replace = TRUE)))
usethis::use_data(std_population, overwrite = TRUE)
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