Nothing
testthat::test_that("respiratory_02 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 = rep(2205001, 5),
emedications_03 = c("Oxygen", "Oxygen", "Oxygen", "Oxygen", "Oxygen"),
evitals_12 = c(60, 59, 58, 57, 56),
eprocedures_03 = rep("applicable thing", 5)
)
# Run function
result <- suppressWarnings(respiratory_02(
df = test_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
emedications_03_col = emedications_03,
evitals_12_col = evitals_12,
eprocedures_03_col = eprocedures_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)))
# should throw a warning due to small counts
testthat::expect_warning(respiratory_02(
df = test_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
emedications_03_col = emedications_03,
evitals_12_col = evitals_12,
eprocedures_03_col = eprocedures_03,
confidence_interval = TRUE
))
# Run function
result <- respiratory_02(
df = test_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
emedications_03_col = emedications_03,
evitals_12_col = evitals_12,
eprocedures_03_col = eprocedures_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)))
# Check calculations
testthat::expect_equal(sum(result$numerator), 10)
testthat::expect_equal(sum(result$denominator), 10)
testthat::expect_equal(result$prop[result$pop == "All"], 1)
testthat::expect_equal(nrow(result), 3)
# create tables to test correct functioning
patient_table <- tibble::tibble(
erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
incident_date = as.Date(c("2025-01-01", "2025-01-05", "2025-02-01", "2025-01-01", "2025-06-01")),
patient_dob = as.Date(c("2000-01-01", "2020-01-01", "2023-02-01", "2023-01-01", "1970-06-01")),
epatient_15 = c(25, 5, 2, 2, 55), # Ages
epatient_16 = c("Years", "Years", "Years", "Years", "Years")
)
response_table <- tibble::tibble(
erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
eresponse_05 = rep(2205001, 5)
)
medications_table <- tibble::tibble(
erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
emedications_03 = c("Oxygen", "Oxygen", "Oxygen", "Oxygen", "Oxygen")
)
vitals_table <- tibble::tibble(
erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
evitals_12 = c(60, 59, 58, 57, 56),
)
procedures_table <- tibble::tibble(
erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
eprocedures_03 = rep("applicable thing", 5)
)
# test the success of the function
result_2 <- respiratory_02(patient_scene_table = patient_table,
response_table = response_table,
medications_table = medications_table,
vitals_table = vitals_table,
procedures_table = procedures_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,
emedications_03_col = emedications_03,
evitals_12_col = evitals_12,
eprocedures_03_col = eprocedures_03
)
# Check calculations
testthat::expect_equal(sum(result_2$numerator), 10)
testthat::expect_equal(sum(result_2$denominator), 10)
testthat::expect_equal(result_2$prop[result_2$pop == "All"], 1)
testthat::expect_equal(nrow(result_2), 3)
})
testthat::test_that("respiratory_02 handles missing data correctly", {
# Synthetic test data
missing_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 = rep(2205001, 5),
emedications_03 = c("Oxygen", "Oxygen", NA_character_, "Oxygen", "Oxygen"),
evitals_12 = c(60, 59, 58, 57, NA_integer_),
eprocedures_03 = rep(NA_character_, 5)
)
result <- respiratory_02(
df = missing_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
evitals_12_col = evitals_12,
eprocedures_03_col = eprocedures_03
)
testthat::expect_true(nrow(result) > 0)
testthat::expect_true(all(!is.na(result$denominator)))
})
testthat::test_that("respiratory_02 returns empty result for non-matching criteria", {
# Synthetic test data
non_matching_data <- tibble::tibble(
erecord_01 = c("R1", "R2"),
epatient_15 = c(30, 50),
epatient_16 = c("Years", "Years"),
eresponse_05 = c("Non-911 Call", "Non-911 Call"),
emedications_03 = c("None", "None"),
evitals_12 = c(60, 59),
eprocedures_03 = rep("710925007", 2)
)
result <- respiratory_02(
df = non_matching_data,
erecord_01_col = erecord_01,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = eresponse_05,
emedications_03_col = emedications_03,
evitals_12_col = evitals_12,
eprocedures_03_col = eprocedures_03
)
testthat::expect_equal(sum(result$denominator), 0)
})
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