Nothing
test_that("con_inadmissible_categorical works", {
skip_on_cran() # slow
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)
meta_data2 <-
prep_scalelevel_from_data_and_metadata(study_data = study_data,
meta_data = meta_data)
meta_data[[SCALE_LEVEL]] <-
setNames(meta_data2[[SCALE_LEVEL]], nm = meta_data2[[VAR_NAMES]])[
meta_data[[VAR_NAMES]]
]
{
IAVCatAll <- con_inadmissible_categorical(study_data = study_data,
meta_data = meta_data,
label_col = "LABEL")
} %>% expect_message2(
regexp = paste("All variables with VALUE_LABELS.+",
"in the metadata are used."),
perl = TRUE
) %>% expect_message2(
regexp = paste("The following variable.s.: .+_IAV.+flag.s.",
"inadmissible values."),
perl = TRUE
)
expect_equal(sum(IAVCatAll$SummaryTable$GRADING), 5)
expect_equal(sum(IAVCatAll$FlaggedStudyData$EDUCATION_1_IAV), 3)
expect_silent(suppressWarnings({
IAVCatAll <- con_inadmissible_categorical(study_data = study_data,
meta_data = meta_data,
label_col = "LABEL",
resp_vars =
c("MARRIED_0",
"SMOKING_0",
"PREGNANT_0"))
IAVCatAll <- con_inadmissible_categorical(study_data = study_data,
meta_data = meta_data,
label_col = "LABEL",
resp_vars = c("MARRIED_0"))
}))
})
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