library(testthat)
library(purrr)
library(readr)
library(dplyr)
library(demoSynthPop)
# load data
dat_pop <- read_csv("~/R/cleanETHPOP/output_data/clean_pop_Leeds2.csv")
dat_births <- read_csv("~/R/cleanETHPOP/output_data/births_per_capita_Leeds1.csv",
col_types = list(sex = col_character()))
pop <- filter(dat_pop, year == 2011) %>% select(-X1)
# recreate the population numbers that were originally used to
# get the proportions in the first place
#
test_that("counts from per capita", {
xx <-
pop %>%
filter(sex == "F", # childbearing aged women only
age >= 15, # could choose other denominator
age <= 45) %>%
group_by(year, ETH.group) %>%
summarise(pop = sum(pop)) %>%
ungroup() %>%
merge(dat_births, # duplicate poo for each sex
by = c("year", "ETH.group"),
all.x = TRUE) %>%
mutate(births2 = births_per_capita_15_45*pop)
expect_equivalent(xx$births, xx$births2)
})
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