# filter_exist ---- ## Test 1: filter_exist() works as expected ---- test_that("filter_exist Test 1: filter_exist() works as expected", { input_dataset <- tibble::tribble( ~USUBJID, ~AGE, ~SEX, "01-701-1015", 63, "F", "01-701-1034", 77, "F", "01-701-1115", 84, "M", "01-701-1444", 63, "M" ) input_dataset_add <- tibble::tribble( ~USUBJID, ~AEDECOD, ~AESTDTC, "01-701-1015", "DIARRHOEA", "2014-01-09", "01-701-1034", "APPLICATION SITE PRURITUS", "2014-08-27", "01-701-1034", "FATIGUE", "2014-11-02", "01-701-1115", "FATIGUE", "2013-01-14" ) expected_output <- input_dataset %>% filter(USUBJID %in% c("01-701-1034", "01-701-1115")) expect_equal( filter_exist( dataset = input_dataset, dataset_add = input_dataset_add, by_vars = exprs(USUBJID), filter_add = AEDECOD == "FATIGUE" ), expected_output ) }) # filter_not_exist ---- ## Test 2: filter_not_exist() works as expected ---- test_that("filter_not_exist Test 2: filter_not_exist() works as expected", { input_dataset <- tibble::tribble( ~USUBJID, ~AGE, ~SEX, "01-701-1015", 63, "F", "01-701-1034", 77, "F", "01-701-1115", 84, "M", "01-701-1444", 63, "M" ) input_dataset_add <- tibble::tribble( ~USUBJID, ~AEDECOD, ~AESTDTC, "01-701-1015", "DIARRHOEA", "2014-01-09", "01-701-1034", "APPLICATION SITE PRURITUS", "2014-08-27", "01-701-1034", "FATIGUE", "2014-11-02", "01-701-1115", "FATIGUE", "2013-01-14" ) expected_output <- input_dataset %>% filter(USUBJID %in% c("01-701-1015", "01-701-1444")) expect_equal( filter_not_exist( dataset = input_dataset, dataset_add = input_dataset_add, by_vars = exprs(USUBJID), filter_add = AEDECOD == "FATIGUE" ), expected_output ) })