Nothing
test_that("con_contradictions works", {
skip_on_cran() # slow and deprecated, use redcap rules, now
skip_if_not_installed("withr")
withr::local_timezone('CET')
meta_data <- prep_get_data_frame("meta_data")
study_data <- prep_get_data_frame("study_data")
check_table <- read.csv(
system.file("extdata",
"contradiction_checks.csv",
package = "dataquieR"
), header = TRUE, sep = "#"
)
check_table[1, "tag"] <- "Logical"
check_table[1, "Label"] <- "Becomes younger"
check_table[2, "tag"] <- "Empirical"
check_table[2, "Label"] <- "sex transformation"
check_table[3, "tag"] <- "Empirical"
check_table[3, "Label"] <- "looses academic degree"
check_table[4, "tag"] <- "Logical"
check_table[4, "Label"] <- "vegetarian eats meat"
check_table[5, "tag"] <- "Logical"
check_table[5, "Label"] <- "vegan eats meat"
check_table[6, "tag"] <- "Empirical"
check_table[6, "Label"] <- "non-veg* eats meat"
check_table[7, "tag"] <- "Empirical"
check_table[7, "Label"] <- "Non-smoker buys cigarettes"
check_table[8, "tag"] <- "Empirical"
check_table[8, "Label"] <- "Smoker always scrounges"
check_table[9, "tag"] <- "Logical"
check_table[9, "Label"] <- "Cuff didn't fit arm"
check_table[10, "tag"] <- "Empirical"
check_table[10, "Label"] <- "Very mature pregnant woman"
label_col <- LABEL
threshold_value <- 1
check_table[1, "tag"] <- "Logical, Age-Related"
check_table[10, "tag"] <- "Empirical, Age-Related"
expect_warning(
expect_message({
default <- con_contradictions(
study_data = study_data, meta_data = meta_data, label_col = label_col,
threshold_value = threshold_value, check_table = check_table
)
off <- con_contradictions(
study_data = study_data, meta_data = meta_data, label_col = label_col,
threshold_value = threshold_value, check_table = check_table,
summarize_categories = FALSE
)
on <- con_contradictions(
study_data = study_data, meta_data = meta_data, label_col = label_col,
threshold_value = threshold_value, check_table = check_table,
summarize_categories = TRUE
)
},
regexp = sprintf("%s|%s|%s|%s",
paste("All variables with CONTRADICTIONS in the",
"metadata are used."),
paste("N = 3 values in EDUCATION_1 have",
"been above HARD_LIMITS and were removed."),
paste("N = 24 values in SMOKE_SHOP_0 have been",
"above HARD_LIMITS and were removed."),
paste("Labels of variables from .LABEL. will be used.",
"In this case",
"columns A and B in check_tables must refer to",
"labels.")
),
perl = TRUE
),
regexp =
paste("Variables: AGE_0, AGE_1, EXAM_DT_0, LAB_DT_0",
"have no assigned labels and levels.")
)
# expect_equal(off, default) because of plots not always true,
# e.g.: Component "SummaryPlot": Component "layers": Component 1:
# Component 11: Component 1: target is not list-like
expect_equal(off$FlaggedStudyData, on$all_checks$FlaggedStudyData)
expect_equal(off$SummaryTable, on$all_checks$SummaryTable)
expect_equal(off$SummaryData, on$all_checks$SummaryData)
expect_lt(
abs(suppressWarnings(sum(as.numeric(as.matrix(default$SummaryData)),
na.rm = TRUE)) - 12052.56), 10)
expect_lt(
abs(suppressWarnings(sum(as.numeric(as.matrix(on$Empirical$SummaryTable)),
na.rm = TRUE)) - 5474.32), 10)
skip_on_cran()
skip_if_not_installed("vdiffr")
skip_if_not(capabilities()["long.double"])
vdiffr::expect_doppelganger("summary contradiction plot ok",
on$all_checks$SummaryPlot)
vdiffr::expect_doppelganger("summary contradiction plot ok",
default$SummaryPlot)
vdiffr::expect_doppelganger("summary contradiction plot ok",
off$SummaryPlot)
vdiffr::expect_doppelganger("one cat contradiction plot ok",
on$Empirical$SummaryPlot)
})
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