Nothing
test_that("util_plot_categorical_vars works", {
skip_on_cran() # slow
skip_if_translated()
skip_if_offline(host = "dataquality.qihs.uni-greifswald.de")
meta_data <- prep_get_data_frame("https://dataquality.qihs.uni-greifswald.de/extdata/fortests/meta_data.RData")
study_data <- prep_get_data_frame("https://dataquality.qihs.uni-greifswald.de/extdata/fortests/study_data.RData", keep_types = TRUE)
require_english_locale_and_berlin_tz()
expect_message2(
t1 <- util_plot_categorical_vars(resp_vars = "v00103",
group_vars = "v00012",
time_vars = "v00013",
study_data = study_data, meta_data = meta_data,
n_cat_max = 10,
n_group_max = 5,
n_data_min = 50),
"Missing some or all entries"
)
expect_message2(
t2 <- util_plot_categorical_vars(resp_vars = "v00103",
time_vars = "v00013",
study_data = study_data, meta_data = meta_data,
n_cat_max = 10,
n_data_min = 50),
"Missing some or all entries"
)
expect_message2(
t3 <- util_plot_categorical_vars(resp_vars = "v00103",
group_vars = "v00012",
study_data = study_data, meta_data = meta_data,
n_cat_max = 10,
n_group_max = 5),
"Missing some or all entries"
)
expect_message2(
t4 <- util_plot_categorical_vars(resp_vars = "v00103",
study_data = study_data, meta_data = meta_data,
n_cat_max = 10),
"Missing some or all entries"
)
})
test_that("util_plot_categorical_vars works for nominal and ordinal variables", {
skip_on_cran() # slow
skip_if_translated()
skip_if_offline(host = "dataquality.qihs.uni-greifswald.de")
meta_data <- prep_get_data_frame("https://dataquality.qihs.uni-greifswald.de/extdata/fortests/meta_data.RData")
study_data <- prep_get_data_frame("https://dataquality.qihs.uni-greifswald.de/extdata/fortests/study_data.RData", keep_types = TRUE)
require_english_locale_and_berlin_tz()
meta_data[[SCALE_LEVEL]][meta_data[["VAR_NAMES"]] == "v00008"] <-
SCALE_LEVELS$NOMINAL
expect_message2(
t5 <- util_plot_categorical_vars(resp_vars = "v00008",
group_vars = "v00011",
study_data = study_data, meta_data = meta_data,
n_cat_max = 10,
n_group_max = 5),
"Missing some or all entries"
)
meta_data[[SCALE_LEVEL]][meta_data[["VAR_NAMES"]] == "v00008"] <-
SCALE_LEVELS$ORDINAL
expect_message2(
t6 <- util_plot_categorical_vars(resp_vars = "v00008",
group_vars = "v00011",
study_data = study_data, meta_data = meta_data,
n_cat_max = 10,
n_group_max = 5),
"Missing some or all entries"
)
})
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