Nothing
testthat::test_that("asthma_01 produces expected results", {
# Synthetic test data
test_data <- tibble::tibble(
erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
epatient_15 = c(34, 5, 45, 2, 60), # Ages
epatient_16 = c("Years", "Years", "Years", "Months", "Years"),
eresponse_05 = c("911 Call", "911 Call", "911 Call", "911 Call", "911 Call"),
esituation_11 = c("Respiratory Distress", "Respiratory Distress", "Chest Pain", "Respiratory Distress", "Respiratory Distress"),
esituation_12 = c("Asthma", "Asthma", "Not Asthma", "Asthma", "Asthma"),
emedications_03 = c("Albuterol", "Albuterol", "Epinephrine", "None", "Albuterol")
)
# Run function
result <- asthma_01(
df = test_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
emedications_03_col = emedications_03
)
# Check structure
testthat::expect_s3_class(result, "data.frame")
testthat::expect_true(all(c("measure", "pop", "numerator", "denominator", "prop", "prop_label") %in% names(result)))
result <- suppressWarnings(asthma_01(
df = test_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
emedications_03_col = emedications_03,
confidence_interval = TRUE
))
expect_s3_class(result, "data.frame")
expect_true(all(c("pop", "numerator", "denominator", "prop", "prop_label", "lower_ci", "upper_ci") %in% names(result)))
# expect a warning due to small counts
testthat::expect_warning(asthma_01(
df = test_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
emedications_03_col = emedications_03,
confidence_interval = TRUE
))
# Check calculations
testthat::expect_equal(sum(result$numerator), 0) # Three cases had Albuterol
testthat::expect_equal(sum(result$denominator), 0) # Four cases met inclusion criteria
testthat::expect_equal(result$prop[result$pop == "All"], NaN)
testthat::expect_equal(nrow(result), 3)
# create tables to test correct functioning
patient_table <- tibble::tibble(
erecord_01 = 1:3,
incident_date = as.Date(c("2025-01-01", "2025-01-05", "2025-02-01")),
patient_dob = as.Date(c("2000-01-01", "2020-01-01", "2023-01-01")),
epatient_15 = c(25, 5, 2),
epatient_16 = c("years", "years", "months")
)
response_table <- tibble::tibble(
erecord_01 = 1:3,
eresponse_05 = c("2205001", "2205009", "2205003")
)
situation_table <- tibble::tibble(
erecord_01 = 1:3,
esituation_11 = c("weakness", "asthma", "bronchospasm"),
esituation_12 = c("asthma", "weakness", "weakness")
)
medications_table <- tibble::tibble(
erecord_01 = 1:3,
emedications_03 = c("albuterol", "levalbuterol", "metaproterenol")
)
# test the success of the function
result_2 <- asthma_01(patient_scene_table = patient_table,
response_table = response_table,
situation_table = situation_table,
medications_table = medications_table,
erecord_01_col = erecord_01,
incident_date_col = incident_date,
patient_DOB_col = patient_dob,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
emedications_03_col = emedications_03
)
# Check calculations
testthat::expect_equal(sum(result_2$numerator), 4) # Three cases had Albuterol
testthat::expect_equal(sum(result_2$denominator), 4) # Four cases met inclusion criteria
testthat::expect_equal(result_2$prop[result_2$pop == "All"], 1)
testthat::expect_equal(nrow(result_2), 3)
})
testthat::test_that("asthma_01 handles missing data correctly", {
missing_data <- tibble::tibble(
erecord_01 = c("R1", "R2"),
epatient_15 = c(NA, 30),
epatient_16 = c("Years", NA),
eresponse_05 = c("911 Call", "911 Call"),
esituation_11 = c("Respiratory Distress", "Respiratory Distress"),
esituation_12 = c("Asthma", "Asthma"),
emedications_03 = c(NA, "Albuterol")
)
result <- asthma_01(
df = missing_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
emedications_03_col = emedications_03
)
testthat::expect_true(nrow(result) > 0)
testthat::expect_true(all(!is.na(result$denominator)))
})
testthat::test_that("asthma_01 returns empty result for non-matching criteria", {
non_matching_data <- tibble::tibble(
erecord_01 = c("R1", "R2"),
epatient_15 = c(30, 50),
epatient_16 = c("Years", "Years"),
eresponse_05 = c("Non-911 Call", "Non-911 Call"),
esituation_11 = c("Non-Respiratory", "Non-Respiratory"),
esituation_12 = c("Not Asthma", "Not Asthma"),
emedications_03 = c("None", "None")
)
result <- asthma_01(
df = non_matching_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
emedications_03_col = emedications_03
)
testthat::expect_equal(sum(result$denominator), 0)
})
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