context("Calculation of final dedupe values")
test_that("Do not modify valid DSD dedupe", {
header_cols <- list()
header_cols$indicator_code <- c("PSNU", "indicator_code", "Age", "Sex", "KeyPop")
d <- list()
test_data <- tibble::tribble(
~PSNU, ~ indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~mechCode_supportType, ~value,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "12345_DSD", 10,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "98765_DSD", 10,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "DSD Dedupe", -10
)
d$data$SNUxIM <- test_data
d <- calculateFinalDedupeValues(d, header_cols)
expect_true(identical(d$data$SNUxIM, test_data)) })
test_that("Impute DSD dedupe value as zero when is NA 2 mechs", {
header_cols <- list()
header_cols$indicator_code <- c("PSNU", "indicator_code", "Age", "Sex", "KeyPop")
d <- list()
test_data <- tibble::tribble(
~PSNU, ~ indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~mechCode_supportType, ~value,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "12345_DSD", 10,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "98765_DSD", 10,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "DSD Dedupe", NA
)
d$data$SNUxIM <- test_data
d <- calculateFinalDedupeValues(d, header_cols)
expect_true(d$data$SNUxIM %>%
dplyr::filter(mechCode_supportType == "DSD Dedupe") %>%
dplyr::pull(value) == 0)
})
test_that(" Do not impute DSD dedupe value as zero when is NA 1 mech", {
header_cols <- list()
header_cols$indicator_code <- c("PSNU", "indicator_code", "Age", "Sex", "KeyPop")
d <- list()
test_data <- tibble::tribble(
~PSNU, ~ indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~mechCode_supportType, ~value,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "12345_DSD", 10,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "DSD Dedupe", NA
)
d$data$SNUxIM <- test_data
d <- calculateFinalDedupeValues(d, header_cols)
#NA values will be dropped
expect_true(identical(test_data[1, ], d$data$SNUxIM))
})
test_that("Impute Crosswalk dedupe value as zero when is NA 2 mechs", {
header_cols <- list()
header_cols$indicator_code <- c("PSNU", "indicator_code", "Age", "Sex", "KeyPop")
d <- list()
test_data <- tibble::tribble(
~PSNU, ~ indicator_code, ~Age, ~Sex, ~KeyPop, ~psnuid, ~mechCode_supportType, ~value,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "12345_DSD", 10,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "98765_TA", 10,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "DSD Dedupe", NA,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "TA Dedupe", NA,
"Fish District", "TX_CURR", "25-49", "Male", NA, "abc123", "Crosswalk Dedupe", NA
)
d$data$SNUxIM <- test_data
d <- calculateFinalDedupeValues(d, header_cols)
expect_true(d$data$SNUxIM %>%
dplyr::filter(mechCode_supportType == "Crosswalk Dedupe") %>%
dplyr::pull(value) == 0)
expect_false(all(grepl("DSD Dedupe", d$data$SNUxIM$mechCode_supportType)))
expect_false(all(grepl("TA Dedupe", d$data$SNUxIM$mechCode_supportType)))
})
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