Nothing
testthat::test_that("stroke_01_population rejects invalid argument combinations", {
testthat::expect_error(stroke_01_population(df = tibble::tibble(),
patient_scene_table = tibble::tibble(),
response_table = tibble::tibble(),
situation_table = tibble::tibble(),
vitals_table = tibble::tibble(),
erecord_01_col = character(),
eresponse_05_col = character(),
esituation_11_col = character(),
esituation_12_col = character(),
evitals_23_col = character(),
evitals_26_col = numeric(),
evitals_29_col = numeric(),
evitals_30_col = character()
),
"requires either a"
)
testthat::expect_error(stroke_01_population(patient_scene_table = list(),
response_table = tibble::tibble(),
situation_table = tibble::tibble(),
vitals_table = tibble::tibble(),
erecord_01_col = character(),
eresponse_05_col = character(),
esituation_11_col = character(),
esituation_12_col = character(),
evitals_23_col = character(),
evitals_26_col = numeric(),
evitals_29_col = numeric(),
evitals_30_col = character()
),
"One or more of the tables passed to")
})
testthat::test_that("stroke_01_population rejects missing required column arguments", {
testthat::expect_error(stroke_01_population(df = tibble::tibble(), evitals_23_col = 12),
"One or more of the \\*_col arguments is missing")
})
testthat::test_that("stroke_01_population rejects non-dataframe inputs", {
testthat::expect_error(stroke_01_population(df = list()),
"One or more")
testthat::expect_error(stroke_01_population(patient_scene_table = matrix()),
"One or more")
})
testthat::test_that("stroke_01_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),
esituation_11 = c(rep("I60", 3), rep("I61", 2)),
esituation_12 = c(rep("I63", 2), rep("I64", 3)),
evitals_23 = c(16, 15, 14, 13, 12),
evitals_26 = c("Alert", "Painful", "Verbal", "Unresponsive", "Alert"),
evitals_29 = rep("positive", 5),
evitals_30 = rep("a pain scale", 5)
)
testthat::expect_error(stroke_01_population(df,
erecord_01_col = erecord_01,
eresponse_05_col = character(),
esituation_11_col = "dummy",
esituation_12_col = "dummy",
evitals_23_col = "dummy",
evitals_26_col = "dummy",
evitals_29_col = "dummy",
evitals_30_col = "dummy"
),
"exist"
)
})
testthat::test_that("stroke_01_population correctly classifies patient age", {
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),
esituation_11 = c(rep("I60", 3), rep("I61", 2)),
esituation_12 = c(rep("I63", 2), rep("I64", 3)),
evitals_23 = c(16, 15, 14, 13, 12),
evitals_26 = c("Alert", "Painful", "Verbal", "Unresponsive", "Alert"),
evitals_29 = rep("positive", 5),
evitals_30 = rep("a pain scale", 5)
)
result <- stroke_01_population(df,
erecord_01_col = erecord_01,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
evitals_23_col = evitals_23,
evitals_26_col = evitals_26,
evitals_29_col = evitals_29,
evitals_30_col = evitals_30
)
testthat::expect_true(all(result$adults$system_age_adult == TRUE))
testthat::expect_true(all(result$adults$system_age_minor == FALSE))
})
testthat::test_that("stroke_01_population correctly filters 911 calls", {
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),
esituation_11 = c(rep("I60", 3), rep("I61", 2)),
esituation_12 = c(rep("I63", 2), rep("I64", 3)),
evitals_23 = c(16, 15, 14, 13, 12),
evitals_26 = c("Alert", "Painful", "Verbal", "Unresponsive", "Alert"),
evitals_29 = rep("positive", 5),
evitals_30 = rep("a pain scale", 5)
)
result <- stroke_01_population(df,
erecord_01_col = erecord_01,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
evitals_29_col = evitals_29,
evitals_23_col = evitals_23,
evitals_26_col = evitals_26,
evitals_30_col = evitals_30
)
emergency_calls <- result$filter_process |>
dplyr::filter(filter == "911 calls") |>
dplyr::pull(count)
testthat::expect_equal(nrow(result$filter_process), 7)
testthat::expect_equal(emergency_calls, 5)
})
testthat::test_that("stroke_01_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)
)
situation_table <- tibble::tibble(
erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
esituation_11 = c(rep("I60", 3), rep("I61", 2)),
esituation_12 = c(rep("I63", 2), rep("I64", 3)),
)
vitals_table <- tibble::tibble(
erecord_01 = c("R1", "R2", "R3", "R4", "R5"),
evitals_23 = c(16, 15, 14, 13, 12),
evitals_26 = c("Alert", "Painful", "Verbal", "Unresponsive", "Alert"),
evitals_29 = rep("positive", 5),
evitals_30 = rep("a pain scale", 5)
)
# test the success of the function
result <- stroke_01_population(patient_scene_table = patient_table,
response_table = response_table,
situation_table = situation_table,
vitals_table = vitals_table,
erecord_01_col = erecord_01,
eresponse_05_col = eresponse_05,
esituation_11_col = esituation_11,
esituation_12_col = esituation_12,
evitals_29_col = evitals_29,
evitals_23_col = evitals_23,
evitals_26_col = evitals_26,
evitals_30_col = evitals_30
)
testthat::expect_equal(nrow(result$filter_process), 7)
testthat::expect_true(is.list(result))
})
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