tests/testthat/test-summarize_cat_cat_data.R

In saros: Semi-Automatic Reporting of Ordinary Surveys

testthat::test_that("summarize_cat_cat_data", {
  #Takes on average 5 sec to run all.
  library(saros)

  testthat::expect_equal(
    saros:::summarize_cat_cat_data(
      data = ex_survey,
      dep = paste0("a_", 1:9),

        data_label = "percentage_bare",
        showNA = "never",
        totals = FALSE,
        descend = TRUE,
        hide_label_if_prop_below = 0,
        data_label_decimal_symbol=".",
        digits = 0
      ) |>
      dplyr::filter(.variable_label == "Do you consent to the following? - Agreement #1", .category == "No") |>
      dplyr::pull(.data_label),
    expected = "60")

  testthat::expect_equal(
    saros:::summarize_cat_cat_data(
      data = ex_survey,
      dep = paste0("a_", 1:9),

      showNA = "never",
      totals = FALSE, data_label = "percentage",
      hide_label_if_prop_below = 0,  data_label_decimal_symbol=".",
      sort_by = ".count",
      descend = TRUE
      ) |>
      dplyr::slice(1) |>
      dplyr::pull(.count),
    expected = 166)

  testthat::expect_equal(
    saros:::summarize_cat_cat_data(
      data = ex_survey,
      dep = paste0("b_", 1:3),

      showNA = "never",
      totals = FALSE, data_label = "percentage", hide_label_if_prop_below = 0,  data_label_decimal_symbol=".",
      sort_by = "A bit",
      descend = FALSE
      ) |>
      dplyr::slice(1) |>
      dplyr::pull(.count),
    expected = 126)

  testthat::expect_equal(
    saros:::summarize_cat_cat_data(
      data = ex_survey,
      dep = paste0("b_", 1:3),

        showNA = "never",
        totals = FALSE,
        data_label = "percentage",
        hide_label_if_prop_below = 0,
        data_label_decimal_symbol=".",
        sort_by = c("A bit", "A lot"),
        descend = FALSE
    ) |>
      dplyr::filter(.variable_name == "b_3", .category == "A lot") |>
      dplyr::pull(.sum_value),
    expected = .53666667)

  testthat::expect_equal(
    saros:::summarize_cat_cat_data(
      data = ex_survey,
      dep = paste0("b_", 1:3),

      showNA = "never",
      totals = FALSE, data_label = "percentage",
      digits = 1,
      hide_label_if_prop_below = 0,
      data_label_decimal_symbol="."
      ) |>
      dplyr::filter(.variable_name == "b_1", .category == "A lot") |>
      dplyr::pull(.data_label),
    expected = "9.3%")

  testthat::expect_equal(
    saros:::summarize_cat_cat_data(
      data = ex_survey,
      dep = paste0("a_", 1:9),

        showNA = "never",
        totals = FALSE, data_label = "percentage",
        hide_label_if_prop_below = 0,
        digits = 1,
        data_label_decimal_symbol="."
    ) |>
      dplyr::filter(.variable_name == "a_2", .category == "Yes") |>
      dplyr::pull(.data_label),
    "51.9%")

  testthat::expect_equal(
    saros:::summarize_cat_cat_data(
      data = ex_survey,
      dep = paste0("a_", 1:9),

        showNA = "never",
        totals = FALSE,
        data_label = "percentage",
        hide_label_if_prop_below = 0,
        data_label_decimal_symbol = ".",
        sort_by = ".count",
        descend = TRUE
    ) |>
      dplyr::filter(.variable_name == "a_9", .category == "No") |>
      dplyr::pull(.count),
    expected = 146)


  testthat::expect_equal(
    saros:::summarize_cat_cat_data(
      data = ex_survey,
      dep = paste0("a_", 1:9),
      indep = "x1_sex",

      totals = FALSE,
      data_label = "percentage",
      hide_label_if_prop_below = 0,
      data_label_decimal_symbol=".",
      showNA = "never"
      )|>
      dplyr::filter(.variable_name == "a_2" & .category == "No" &
                      x1_sex == "Females") |>
      dplyr::pull(.count),
    expected = 64)

  testthat::expect_equal(
    saros:::summarize_cat_cat_data(
      data = ex_survey,
      dep = paste0("a_", 1:9),
      indep = c("x1_sex", "x2_human", "f_uni"),

      totals = FALSE,
      data_label = "percentage",
      hide_label_if_prop_below = 0,
      data_label_decimal_symbol=".",
      showNA = "never"
      ) |>
      dplyr::filter(.variable_name == "a_1",
                    x1_sex == "Males",
                    x2_human == "Robot?",
                    f_uni == "Uni of A",
                    .category == "Yes") |>
      dplyr::pull(.proportion),
    expected = 0.5)


})


testthat::test_that("crosstable srvyr gives same output as regular tbl with 0 indep-col", {
  suppressMessages(library(dplyr))
  suppressMessages(library(srvyr))
  x <-
    saros::ex_survey |>
    saros:::summarize_cat_cat_data(dep = paste0("b_", 1:3),

                           sort_by = c("A lot", "A bit"),
                           digits = 2,
                           label_separator = " - ",
                           totals = FALSE,
                           data_label = "percentage",
                           hide_label_if_prop_below = 0,
                           data_label_decimal_symbol=".",
                           descend = FALSE,
                           showNA = "never"
    ) |>
    arrange(dplyr::pick(tidyselect::everything()))
  x_srv <-
    saros::ex_survey |>
    srvyr::as_survey(strata = f_uni) |>
    saros:::summarize_cat_cat_data(dep = paste0("b_", 1:3),

                           sort_by = c("A lot", "A bit"),
                           digits = 2,
                           label_separator = " - ",
                           totals = FALSE,
                           data_label = "percentage",
                           hide_label_if_prop_below = 0,
                           data_label_decimal_symbol=".",
                           descend = FALSE,
                           showNA = "never"
    ) |>
    arrange(dplyr::pick(tidyselect::everything()))



  testthat::expect_equal(object = x |>
                           dplyr::slice(1) |>
                           dplyr::pull(.data$.proportion),
                         expected = .43)

  testthat::expect_equal(object = names(x_srv),
                         expected = names(x))

  testthat::expect_equal(object = nrow(x_srv),
                         expected = nrow(x))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".variable_name"]]),
                         expected = dplyr::pull(x, .data[[".variable_name"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".category"]]),
                         expected = dplyr::pull(x, .data[[".category"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".count"]]),
                         expected = dplyr::pull(x, .data[[".count"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".variable_label"]]),
                         expected = dplyr::pull(x, .data[[".variable_label"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".data_label"]]),
                         expected = dplyr::pull(x, .data[[".data_label"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".proportion"]]),
                         expected = dplyr::pull(x, .data[[".proportion"]]),
                         tolerance = .000000001)

  testthat::expect_equal(object = dplyr::pull(x, .data[[".proportion_se"]]),
                         expected = rep(NA_real_, nrow(x)))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".comb_categories"]]),
                         expected = dplyr::pull(x, .data[[".comb_categories"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".sum_value"]]),
                         expected = dplyr::pull(x, .data[[".sum_value"]]))
})

testthat::test_that("crosstable srvyr gives same output as regular tbl with 1 indep-col", {
  suppressMessages(library(dplyr))
  suppressMessages(library(srvyr))
  x <-
    ex_survey |>
    saros:::summarize_cat_cat_data(dep = paste0("b_", 1:3),
                           indep = "x1_sex",

                           sort_by = c("A lot", "A bit"),
                           label_separator = " - ",
                           totals = FALSE,
                           data_label = "percentage",
                           hide_label_if_prop_below = 0,
                           data_label_decimal_symbol=".",
                           descend = FALSE,
                           showNA = "never"
    ) |>
    arrange(dplyr::pick(tidyselect::everything()))
  x_srv <-
    ex_survey |>
    srvyr::as_survey(strata = f_uni) |>
    saros:::summarize_cat_cat_data(dep = paste0("b_", 1:3),
                           indep = "x1_sex",

                           sort_by = c("A lot", "A bit"),
                           label_separator = " - ",
                           totals = FALSE,
                           data_label = "percentage",
                           hide_label_if_prop_below = 0,
                           data_label_decimal_symbol=".",
                           descend = FALSE,
                           showNA = "never"
    ) |>
    arrange(dplyr::pick(tidyselect::everything()))

  testthat::expect_equal(object = names(x_srv),
                         expected = names(x))

  testthat::expect_equal(object = nrow(x_srv),
                         expected = nrow(x))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".variable_name"]]),
                         expected = dplyr::pull(x, .data[[".variable_name"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[["x1_sex"]]),
                         expected = dplyr::pull(x, .data[["x1_sex"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".category"]]),
                         expected = dplyr::pull(x, .data[[".category"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".count"]]),
                         expected = dplyr::pull(x, .data[[".count"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".variable_label"]]),
                         expected = dplyr::pull(x, .data[[".variable_label"]]))

  testthat::expect_equal(object = as.numeric(stringi::stri_replace_all_fixed(dplyr::pull(x_srv, .data[[".data_label"]]), "%","")),
                         expected = as.numeric(stringi::stri_replace_all_fixed(dplyr::pull(x, .data[[".data_label"]]), "%","")),
                         tolerance = .1)

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".proportion"]]),
                         expected = dplyr::pull(x, .data[[".proportion"]]))

  testthat::expect_equal(object = dplyr::pull(x, .data[[".proportion_se"]]),
                         expected = rep(NA_real_, nrow(x)))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".comb_categories"]]),
                         expected = dplyr::pull(x, .data[[".comb_categories"]]))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".sum_value"]]),
                         expected = dplyr::pull(x, .data[[".sum_value"]]))

})


testthat::test_that("crosstable srvyr gives same output as regular tbl with 2 indep-col", {
  suppressMessages(library(dplyr))
  suppressMessages(library(srvyr))
  x <-
    ex_survey |>
    saros:::summarize_cat_cat_data(dep = paste0("b_", 1:3),
                           indep = c("x1_sex", "x2_human"),

                           sort_by = c("A lot", "A bit"),
                           label_separator = " - ",
                           totals = FALSE,
                           data_label = "percentage",
                           hide_label_if_prop_below = 0,
                           data_label_decimal_symbol=".",
                           descend = FALSE,
                           showNA = "never"
    ) |>
    arrange(dplyr::pick(tidyselect::everything()))
  x_srv <-
    ex_survey |>
    srvyr::as_survey(strata = f_uni) |>
    saros:::summarize_cat_cat_data(dep = paste0("b_", 1:3),
                           indep = c("x1_sex", "x2_human"),

                           sort_by = c("A lot", "A bit"),
                           label_separator = " - ",
                           totals = FALSE,
                           data_label = "percentage",
                           hide_label_if_prop_below = 0,
                           data_label_decimal_symbol=".",
                           descend = FALSE,
                           showNA = "never"
    ) |>
    arrange(dplyr::pick(tidyselect::everything()))

  testthat::expect_equal(object = names(x_srv),
                         expected = names(x))

  testthat::expect_equal(object = nrow(x_srv),
                         expected = nrow(x))

  # testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".variable_name"]]),
  #                        expected = dplyr::pull(x, .data[[".variable_name"]]))

  # testthat::expect_equal(object = dplyr::pull(x_srv, .data[["x1_sex"]]),
  #                        expected = dplyr::pull(x, .data[["x1_sex"]]))

  # testthat::expect_equal(object = dplyr::pull(x_srv, .data[["x2_human"]]),
  #                        expected = dplyr::pull(x, .data[["x2_human"]]))

  # testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".category"]]),
  #                        expected = dplyr::pull(x, .data[[".category"]]))

  # testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".count"]]),
  #                        expected = dplyr::pull(x, .data[[".count"]]))

  # testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".variable_label"]]),
  #                        expected = dplyr::pull(x, .data[[".variable_label"]]))

  # testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".data_label"]]),
  #                        expected = dplyr::pull(x, .data[[".data_label"]]))

  # testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".proportion"]]),
  #                        expected = dplyr::pull(x, .data[[".proportion"]]))

  testthat::expect_equal(object = dplyr::pull(x, .data[[".proportion_se"]]),
                         expected = rep(NA_real_, nrow(x)))

  testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".comb_categories"]]),
                         expected = dplyr::pull(x, .data[[".comb_categories"]]))

  # testthat::expect_equal(object = dplyr::pull(x_srv, .data[[".sum_value"]]),
  #                        expected = dplyr::pull(x, .data[[".sum_value"]]))

})