Nothing
testthat::test_that("respiratory_02_population rejects invalid argument combinations", {
testthat::expect_error(respiratory_02_population(df = tibble::tibble(),
patient_scene_table = tibble::tibble(),
response_table = tibble::tibble(),
medications_table = tibble::tibble(),
vitals_table = tibble::tibble(),
procedures_table = tibble::tibble(),
erecord_01_col = character(),
epatient_15_col = numeric(),
epatient_16_col = character(),
eresponse_05_col = character(),
emedications_03_col = character(),
evitals_12_col = numeric(),
eprocedures_03_col = character()
),
"will only work by passing"
)
testthat::expect_error(respiratory_02_population(df = NULL,
patient_scene_table = list(),
response_table = tibble::tibble(),
medications_table = tibble::tibble(),
vitals_table = tibble::tibble(),
procedures_table = tibble::tibble(),
erecord_01_col = character(),
epatient_15_col = numeric(),
epatient_16_col = character(),
incident_date_col = date(),
patient_DOB_col = date(),
eresponse_05_col = character(),
emedications_03_col = character(),
evitals_12_col = numeric(),
eprocedures_03_col = character()
),
"An object of class")
})
testthat::test_that("respiratory_02_population rejects missing required column arguments", {
testthat::expect_error(respiratory_02_population(df = tibble::tibble(), epatient_15_col = "Age"),
"One or more of the \\*_col arguments is missing")
})
testthat::test_that("respiratory_02_population rejects non-dataframe inputs", {
testthat::expect_error(respiratory_02_population(df = list()),
"One or more")
testthat::expect_error(respiratory_02_population(patient_scene_table = matrix()),
"One or more")
})
testthat::test_that("respiratory_02_population validates date column formats", {
df <- tibble::tibble(erecord_01 = character(),
incident_date = as.character(Sys.Date()),
patient_dob = as.character(Sys.Date() - 365),
epatient_15 = numeric(),
epatient_16 = character(),
incident_date_col = date(),
patient_DOB_col = date(),
eresponse_05_col = character(),
emedications_03_col = character(),
evitals_12_col = numeric(),
eprocedures_03_col = character()
)
testthat::expect_error(
respiratory_02_population(
df,
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
)
)
testthat::expect_no_success(
respiratory_02_population(
patient_scene_table = tibble::tibble(),
response_table = tibble::tibble(),
medications_table = tibble::tibble(),
procedures_table = tibble::tibble(),
erecord_01_col = character(),
incident_date_col = "stuff",
patient_DOB_col = "stuff",
epatient_15_col = numeric(),
epatient_16_col = character(),
eresponse_05_col = character(),
emedications_03_col = character(),
evitals_12_col = numeric(),
eprocedures_03_col = character()
)
)
})
testthat::test_that("respiratory_02_population fails with unknown columns", {
df <- 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)
)
testthat::expect_error(respiratory_02_population(df,
erecord_01_col = erecord_01,
incident_date_col = NULL,
patient_DOB_col = NULL,
epatient_15_col = epatient_15,
epatient_16_col = epatient_16,
eresponse_05_col = character(),
emedications_03_col = "dummy",
evitals_12_col = "dummy",
eprocedures_03_col = "dummy"), "exist")
})
testthat::test_that("respiratory_02_population correctly classifies patient age", {
df <- 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"),
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)
)
result <- respiratory_02_population(df,
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
)
testthat::expect_true(all(result$adults$system_age_adult == TRUE))
testthat::expect_true(all(result$adults$system_age_minor == FALSE))
})
testthat::test_that("respiratory_02_population correctly filters 911 calls", {
df <- 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(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)
)
result <- respiratory_02_population(df,
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
)
emergency_calls <- result$filter_process |>
dplyr::filter(filter == "911 calls") |>
dplyr::pull(count)
testthat::expect_equal(nrow(result$filter_process), 8)
testthat::expect_equal(emergency_calls, 5)
})
testthat::test_that("respiratory_02_population runs correctly with table inputs", {
# 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 <- respiratory_02_population(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
)
testthat::expect_equal(nrow(result$filter_process), 8)
testthat::expect_true(is.list(result))
})
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