Nothing
test_that("tableCharacteristics", {
skip_on_cran()
person <- dplyr::tibble(
person_id = c(1, 2, 3) |> as.integer(),
gender_concept_id = c(8507, 8532, 8532) |> as.integer(),
year_of_birth = c(1985, 2000, 1962) |> as.integer(),
month_of_birth = c(10, 5, 9) |> as.integer(),
day_of_birth = c(30, 10, 24) |> as.integer(),
race_concept_id = 0L,
ethnicity_concept_id = 0L
)
dus_cohort <- dplyr::tibble(
cohort_definition_id = c(1, 1, 1, 2) |> as.integer(),
subject_id = c(1, 1, 2, 3) |> as.integer(),
cohort_start_date = as.Date(c(
"1990-04-19", "1991-04-19", "2010-11-14", "2000-05-25"
)),
cohort_end_date = as.Date(c(
"1990-04-19", "1991-04-19", "2010-11-14", "2000-05-25"
))
)
comorbidities <- dplyr::tibble(
cohort_definition_id = c(1, 2, 2, 1) |> as.integer(),
subject_id = c(1, 1, 3, 3) |> as.integer(),
cohort_start_date = as.Date(c(
"1990-01-01", "1990-06-01", "2000-01-01", "2000-06-01"
)),
cohort_end_date = as.Date(c(
"1990-01-01", "1990-06-01", "2000-01-01", "2000-06-01"
))
)
medication <- dplyr::tibble(
cohort_definition_id = c(1, 1, 2, 1) |> as.integer(),
subject_id = c(1, 1, 2, 3) |> as.integer(),
cohort_start_date = as.Date(c(
"1990-02-01", "1990-08-01", "2009-01-01", "1995-06-01"
)),
cohort_end_date = as.Date(c(
"1990-02-01", "1990-08-01", "2009-01-01", "1995-06-01"
))
)
observation_period <- dplyr::tibble(
observation_period_id = c(1, 2, 3) |> as.integer(),
person_id = c(1, 2, 3) |> as.integer(),
observation_period_start_date = as.Date(c(
"1975-01-01", "1959-04-29", "1944-12-03"
)),
observation_period_end_date = as.Date(c(
"2021-03-04", "2022-03-14", "2023-07-10"
)),
period_type_concept_id = 0L
)
cdm <- mockCohortCharacteristics(
con = connection(), writeSchema = writeSchema(),
dus_cohort = dus_cohort, person = person,
comorbidities = comorbidities, medication = medication,
observation_period = observation_period
)
cdm$dus_cohort <- omopgenerics::newCohortTable(
table = cdm$dus_cohort, cohortSetRef = dplyr::tibble(
cohort_definition_id = c(1L, 2L),
cohort_name = c("exposed", "unexposed")
)
)
cdm$comorbidities <- omopgenerics::newCohortTable(
table = cdm$comorbidities, cohortSetRef = dplyr::tibble(
cohort_definition_id = c(1L, 2L),
cohort_name = c("covid", "headache")
)
)
cdm$medication <- omopgenerics::newCohortTable(
table = cdm$medication,
cohortSetRef = dplyr::tibble(
cohort_definition_id = c(1L, 2L, 3L),
cohort_name = c("acetaminophen", "ibuprophen", "naloxone")
),
cohortAttritionRef = NULL
)
result1 <- summariseCharacteristics(
cdm$dus_cohort,
cohortIntersectFlag = list(
"Medications" = list(
targetCohortTable = "medication", window = c(-365, 0)
),
"Comorbidities" = list(
targetCohortTable = "comorbidities", window = c(-Inf, 0)
)
)
)
expect_no_error(gt1 <- tableCharacteristics(result1, ))
expect_true("gt_tbl" %in% class(gt1))
expect_true(all(c("Variable name", "Variable level", "Estimate name") %in%
colnames(gt1$`_data`)))
fx1 <- tableCharacteristics(result1, header = c("cdm_name", "cohort_name"), type = "flextable")
expect_true(class(fx1) == "flextable")
expect_true(all(c(
"Variable name", "Variable level", "Estimate name",
"CDM name\nPP_MOCK\nCohort name\nexposed", "CDM name\nPP_MOCK\nCohort name\nunexposed"
) %in%
colnames(fx1$body$dataset)))
expect_true(all(fx1$body$dataset$`Variable name` |> unique() %in%
c(
"Number records", "Number subjects", "Cohort start date",
"Cohort end date", "Age", "Sex", "Prior observation",
"Future observation", "Days in cohort", "Medications", "Comorbidities"
)))
tibble1 <- tableCharacteristics(result1, type = "tibble", header = character())
expect_true(all(class(tibble1) %in% c("tbl_df", "tbl", "data.frame")))
expect_true(all(c(
"Variable name", "Variable level", "Estimate name",
"CDM name", "Estimate value"
) %in%
colnames(tibble1)))
})
test_that("tableCharacteristics, empty output warning message", {
skip_on_cran()
expect_warning(x <- tableCharacteristics(
result = omopgenerics::emptySummarisedResult(), type = "gt"
))
expect_true(inherits(x, "gt_tbl"))
})
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