testthat::test_that("pediatrics_03b produces expected results", { # Synthetic test data test_data <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), incident_date = as.Date(c("2025-01-01", "2025-01-05", "2025-02-01", "2025-06-01", "2025-12-15")), patient_dob = as.Date(c("2021-01-01", "2020-01-01", "2022-02-01", "2023-06-01", "2019-12-15")), epatient_15 = c(4, 5, 3, 2, 6), # Ages epatient_16 = c("Years", "Years", "Years", "Years", "Years"), eresponse_05 = rep(2205001, 5), emedications_03 = rep("stuff", 5), emedications_04 = c("Inhalation", "pill", "liquid", "pill", "liquid"), eexam_01 = c(60, 59, 58, 57, 56), eexam_02 = c("Red", "Purple", "Grey", "Yellow", "Orange") ) # Run function result <- pediatrics_03b( df = test_data, 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, emedications_04_col = emedications_04, eexam_01_col = eexam_01, eexam_02_col = eexam_02 ) # 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$numerator), 4) # 5 total, 4 had weight-based meds testthat::expect_equal(sum(result$denominator), 4) # Four cases met inclusion criteria testthat::expect_equal(result$prop[result$pop == "Peds"], 1) testthat::expect_equal(nrow(result), 1) # 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", "2025-06-01", "2025-12-15")), patient_dob = as.Date(c("2021-01-01", "2020-01-01", "2022-02-01", "2023-06-01", "2019-12-15")), epatient_15 = c(4, 5, 3, 2, 6), # 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) ) exam_table <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), eexam_01 = c(60, 59, 58, 57, 56), eexam_02 = c("Red", "Purple", "Grey", "Yellow", "Orange") ) medications_table <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), emedications_03 = rep("stuff", 5), emedications_04 = c("Inhalation", "pill", "liquid", "pill", "liquid"), ) # test the success of the function result_2 <- pediatrics_03b(patient_scene_table = patient_table, response_table = response_table, exam_table = exam_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, emedications_03_col = emedications_03, emedications_04_col = emedications_04, eexam_01_col = eexam_01, eexam_02_col = eexam_02 ) # Check calculations testthat::expect_equal(sum(result_2$numerator), 4) testthat::expect_equal(sum(result_2$denominator), 4) testthat::expect_equal(result_2$prop[result_2$pop == "Peds"], 1) testthat::expect_equal(nrow(result_2), 1) }) testthat::test_that("pediatrics_03b handles missing data correctly", { # Synthetic test data missing_data <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), incident_date = as.Date(c("2025-01-01", "2025-01-05", "2025-02-01", "2025-06-01", "2025-12-15")), patient_dob = as.Date(c("2021-01-01", "2020-01-01", "2022-02-01", "2023-06-01", "2019-12-15")), epatient_15 = c(4, 5, 3, 2, 6), # Ages epatient_16 = c("Years", "Years", "Years", "Years", "Years"), eresponse_05 = rep(2205001, 5), emedications_03 = rep("stuff", 5), emedications_04 = c("Inhalation", "pill", "liquid", "pill", NA), eexam_01 = c(60, 59, 58, 57, 56), eexam_02 = c("Red", "Purple", "Grey", "Yellow", NA) ) result <- pediatrics_03b( df = missing_data, 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, emedications_04_col = emedications_04, eexam_01_col = eexam_01, eexam_02_col = eexam_02 ) testthat::expect_true(nrow(result) > 0) testthat::expect_true(all(!is.na(result$denominator))) testthat::expect_equal(result$numerator, 4) testthat::expect_equal(result$denominator, 4) testthat::expect_equal(result$prop, 1) }) testthat::test_that("pediatrics_03b returns empty result for non-matching criteria", { # Synthetic test data non_matching_data <- tibble::tibble( erecord_01 = c("R1", "R2", "R3", "R4", "R5"), incident_date = as.Date(c("2025-01-01", "2025-01-05", "2025-02-01", "2025-06-01", "2025-12-15")), patient_dob = as.Date(c("2021-01-01", "2020-01-01", "2022-02-01", "2023-06-01", "2019-12-15")), epatient_15 = c(4, 5, 3, 2, 6), # Ages epatient_16 = c("Years", "Years", "Years", "Years", "Years"), eresponse_05 = rep(2205001, 5), emedications_03 = rep("stuff", 5), emedications_04 = c("Inhalation", "Topical", "Inhalation", "Topical", "Topical"), eexam_01 = c(60, 59, 58, 57, 56), eexam_02 = c("Red", "Purple", "Grey", "Yellow", "Orange") ) result <- pediatrics_03b( df = non_matching_data, 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, emedications_04_col = emedications_04, eexam_01_col = eexam_01, eexam_02_col = eexam_02 ) testthat::expect_equal(sum(result$denominator), 0) })