testthat::test_that("crosstable", {
  library(saros)
  testthat::expect_no_error(object = {
    x <-
      ex_survey |>
      saros:::crosstable.data.frame(
        dep = paste0("b_", 1:3),
        indep = NULL, showNA = "ifany"
      )
  })
  testthat::expect_equal(dim(x), c(9, 14))
  testthat::expect_equal(
    object =
      x |>
        dplyr::filter(.variable_name == "b_1", .category == "A bit") |>
        dplyr::pull(.proportion),
    expected = 0.4766667,
    tolerance = .00001
  )

  testthat::expect_no_error(object = {
    x <-
      ex_survey |>
      saros:::crosstable.data.frame(
        dep = paste0("b_", 1:3),
        indep = "x1_sex",
        showNA = "ifany"
      )
  })
  testthat::expect_equal(dim(x), c(18, 15))
  testthat::expect_equal(
    object =
      x |>
        dplyr::filter(
          .variable_name == "b_1",
          .category == "A lot",
          x1_sex == "Males"
        ) |>
        dplyr::pull(.proportion),
    expected = 0.1059603,
    tolerance = .0001
  )
})


testthat::test_that("crosstable works with explicit NA level", {
  library(saros)

  testthat::expect_no_error(object = {
    x <-
      ex_survey |>
      dplyr::mutate(dplyr::across(p_1:p_4, ~ forcats::fct_na_value_to_level(.x))) |>
      saros:::crosstable.data.frame(
        dep = paste0("p_", 1:4),
        indep = "x1_sex", showNA = "ifany"
      )
  })
  testthat::expect_equal(dim(x), c(34, 15))
})



testthat::test_that("crosstable works with dep and indep having nothing in common and showNA='never'", {
  library(saros)

  testthat::expect_no_error(object = {
    x <-
      tibble::tibble(.rows = 100) |>
      dplyr::mutate(
        A = factor(sample(c(letters[1:5], NA), replace = T, size = 100)),
        B = factor(ifelse(!is.na(A), NA, sample(letters[1:2], replace = TRUE, size = 100)))
      ) |>
      saros:::crosstable.data.frame(
        dep = "A",
        indep = "B", showNA = "never"
      )
  })
  testthat::expect_equal(dim(x), c(1, 15))
})