test_that("xtab2df properly matches categories & groups", {
hdrs1 <- tibble::enframe(list(
Connecticut = "Connecticut", Bridgeport = "Bridgeport",
Gender = c("M", "F"),
Age = c("18-34", "35-49", "50-64", "65+"),
"Race/Ethnicity" = c("White", "Black/Afr Amer", "Hispanic"),
Education = c("High school or less", "Some college or Associate's", "Bachelor's or higher"),
Income = c("<$30K", "$30K-$75K", "$75K+"),
"Children in HH" = c("No", "Yes")
), name = "category", value = "group") |>
tidyr::unnest(group)
hdrs2 <- read_xtabs(demo_xt(2018)) |>
xtab2df() |>
dplyr::distinct(category, group)
expect_equal(hdrs1, hdrs2)
})
test_that("xtab2df handles crosstabs without codes e.g. 2020", {
xt18 <- read_xtabs(demo_xt(2018), year = 2018, process = TRUE)
xt20 <- read_xtabs(demo_xt(2020), year = 2020, process = TRUE)
expect_s3_class(xt20, "data.frame")
expect_true("code" %in% names(xt18))
expect_false("code" %in% names(xt20))
expect_false("q_number" %in% names(xt18))
expect_true("q_number" %in% names(xt20))
})
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