Nothing
test_that("int_datatype_matrix works", {
skip_on_cran() # slow and not so complicated. also, errors will be obvious.
meta_data <- prep_get_data_frame("meta_data")
study_data <- prep_get_data_frame("study_data")
expect_error({
appmatrix <- int_datatype_matrix(study_data = study_data,
meta_data = meta_data,
label_col = LABEL,
max_vars_per_plot = c())
},
regexp = "max_vars_per_plot must be one strictly positive"
)
expect_error(
int_datatype_matrix(resp_vars = "SEX_0",
study_data = study_data,
meta_data = meta_data[,
setdiff(colnames(meta_data),
"DATA_TYPE")],
label_col = LABEL),
regexp =
paste("Missing columns .+DATA_TYPE.+ from .+meta_data.+.")
)
md0 <- meta_data
md0$DATA_TYPE[2] <- NA
expect_error(
int_datatype_matrix(resp_vars = "SEX_0",
study_data = study_data,
meta_data = md0,
label_col = LABEL),
regexp =
paste("The DATA_TYPE for variable.s.+PSEUDO_ID.+is not",
"defined in the metadata.")
)
md0 <- meta_data
md0$DATA_TYPE[2] <- "MY_TYPE"
expect_error(
expect_warning(
int_datatype_matrix(resp_vars = "SEX_0",
study_data = study_data,
meta_data = md0,
label_col = LABEL),
all = TRUE,
regexp =
"The data type.s.+MY_TYPE.+is not eligible in the metadata concept."
),
regexp =
paste("Please map data types to: .+integer.+,",
".+string.+,",
".+float.+datetime.+")
)
expect_warning(
appmatrix <- int_datatype_matrix(
study_data = study_data,
meta_data = meta_data[,
setdiff(
colnames(meta_data),
c(STUDY_SEGMENT,
KEY_STUDY_SEGMENT)
),
drop = FALSE],
label_col = LABEL,
split_segments = TRUE),
all = TRUE,
regexp = paste("Stratification for STUDY_SEGMENT is not possible",
"due to missing metadata.",
"Will split arbitrarily avoiding too large figures")
)
expect_equal(length(appmatrix$DataTypePlotList), 3)
appmatrix <- int_datatype_matrix(resp_vars = "SEX_0",
study_data = study_data,
meta_data = meta_data,
label_col = LABEL)
expect_true(all(appmatrix$ReportSummaryTable$MATCH == 0))
expect_equal(nrow(appmatrix$ReportSummaryTable), 1)
expect_equal(ncol(appmatrix$ReportSummaryTable), 3)
expect_identical(colnames(appmatrix$ReportSummaryTable),
c("Variables", "MATCH", "N"))
appmatrix <- int_datatype_matrix(study_data = study_data,
meta_data = meta_data,
label_col = LABEL)
expect_equal(nrow(appmatrix$ReportSummaryTable), 53)
expect_equal(ncol(appmatrix$ReportSummaryTable), 3)
expect_true(all(appmatrix$ReportSummaryTable$MATCH == 0))
skip_on_cran()
skip_if_not(capabilities()["long.double"])
skip_if_not_installed("vdiffr")
vdiffr::expect_doppelganger("integrity datatype",
appmatrix$SummaryPlot)
for (n in names(appmatrix$DataTypePlotList)) {
vdiffr::expect_doppelganger(sprintf("intDt%s", n),
appmatrix$DataTypePlotList[[n]])
}
})
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