test_that("select ANC programme data returns expected rows", {
# Test output created by anc_testing_prev_mf()
expect_equal(nrow(a_naomi_data$anc_prev_t1_dat), nrow(a_naomi_mf$mf_areas))
# Test output created by anc_testing_artcov_mf()
expect_equal(nrow(a_naomi_data$anc_artcov_t1_dat),nrow(a_naomi_mf$mf_areas))
# Test output created by anc_testing_clients_mf()
expect_equal(nrow(a_naomi_data$anc_artcov_t1_dat),nrow(a_naomi_mf$mf_areas))
## Year not in data
# Test output created by anc_testing_prev_mf()
expect_error(
select_naomi_data(a_naomi_mf,
demo_survey_hiv_indicators,
anc_testing = demo_anc_testing,
demo_art_number,
prev_survey_ids = c("DEMO2016PHIA", "DEMO2015DHS"),
artcov_survey_ids = "DEMO2016PHIA",
recent_survey_ids = "DEMO2016PHIA",
anc_prev_year_t1 = 2000),
"ANC testing data not found for year 2000")
# Test output created by anc_testing_artcov_mf()
expect_error(
select_naomi_data(a_naomi_mf,
demo_survey_hiv_indicators,
anc_testing = demo_anc_testing,
demo_art_number,
prev_survey_ids = c("DEMO2016PHIA", "DEMO2015DHS"),
artcov_survey_ids = "DEMO2016PHIA",
recent_survey_ids = "DEMO2016PHIA",
anc_artcov_year_t1 = 1999),
"ANC testing data not found for year 1999")
# Test output created by anc_testing_clients_mf()
expect_error(
select_naomi_data(a_naomi_mf,
demo_survey_hiv_indicators,
anc_testing = demo_anc_testing,
demo_art_number,
prev_survey_ids = c("DEMO2016PHIA", "DEMO2015DHS"),
artcov_survey_ids = "DEMO2016PHIA",
recent_survey_ids = "DEMO2016PHIA",
anc_clients_year_t2 = 1992),
"ANC testing data not found for year 1992")
## NULL data provided
naomi_data_null_anc <- select_naomi_data(a_naomi_mf,
demo_survey_hiv_indicators,
anc_testing = NULL,
demo_art_number,
prev_survey_ids = c("DEMO2016PHIA", "DEMO2015DHS"),
artcov_survey_ids = "DEMO2016PHIA",
recent_survey_ids = "DEMO2016PHIA")
# Test output created by anc_testing_prev_mf()
expect_equal(nrow(naomi_data_null_anc$anc_prev_t1_dat),0)
# Test output created by anc_testing_artcov_mf()
expect_equal(nrow(naomi_data_null_anc$anc_artcov_t1_dat),0)
# Test output created by anc_testing_clients_mf()
expect_equal(nrow(naomi_data_null_anc$anc_artcov_t1_dat),0)
## NULL year provided
naomi_data_null_anc_year <- select_naomi_data(a_naomi_mf,
demo_survey_hiv_indicators,
anc_testing = demo_anc_testing,
demo_art_number,
prev_survey_ids = c("DEMO2016PHIA", "DEMO2015DHS"),
artcov_survey_ids = "DEMO2016PHIA",
recent_survey_ids = "DEMO2016PHIA",
anc_prev_year_t1 = NULL,
anc_prev_year_t2 = NULL,
anc_artcov_year_t1 = NULL,
anc_artcov_year_t2 = NULL,
anc_clients_year_t2 = NULL)
# Test output created by anc_testing_prev_mf()
expect_equal(nrow(naomi_data_null_anc_year$anc_prev_t1_dat),0)
# Test output created by anc_testing_artcov_mf()
expect_equal(nrow(naomi_data_null_anc_year$anc_artcov_t1_dat),0)
# Test output created by anc_testing_clients_mf()
expect_equal(nrow(naomi_data_null_anc_year$anc_artcov_t1_dat),0)
})
test_that("Data inputs aggregated and tagged correctly", {
quiet_semi_join <- function(x,y){suppressMessages(dplyr::semi_join(x,y))}
# Model inputs do not intersect with excluded data
# Survey data
survey_tagged <- a_naomi_data$full_data$survey_full_mf
survey_excluded <- dplyr::filter(survey_tagged, naomi_input == FALSE)
survey_included <- dplyr::filter(survey_tagged, naomi_input == TRUE)
expect_equal(nrow(quiet_semi_join(survey_included, survey_excluded)), 0)
# ART data
artnum_tagged <- a_naomi_data$full_data$artnum_full_mf
artnum_excluded <- dplyr::filter(artnum_tagged, naomi_input == FALSE)
artnum_included <- dplyr::filter(artnum_tagged, naomi_input == TRUE)
expect_equal(nrow(quiet_semi_join(artnum_included, artnum_excluded)), 0)
# ANC data
anc_tagged <- a_naomi_data$full_data$artnum_full_
anc_excluded <- dplyr::filter(anc_tagged, naomi_input == FALSE)
anc_included <- dplyr::filter(anc_tagged, naomi_input == TRUE)
expect_equal(nrow(quiet_semi_join(anc_included, anc_excluded)), 0)
# Excluded data contains aggregated area_id/age/sex strata and included data
# contains strata specified in model options
aggregated_ids <- a_area_merged[a_area_merged$area_level < 4,]$area_id
model_input_ids <- a_area_merged[a_area_merged$area_level == 4,]$area_id
expect_true(!any(aggregated_ids %in% unique(survey_included$area_id)))
expect_true(!any(aggregated_ids %in% unique(artnum_included$area_id)))
expect_true(!any(aggregated_ids %in% unique(anc_included$area_id)))
})
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