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test_that("rescale_weights works as expected", {
data(nhanes_sample)
# convert tibble into data frame, so check-hard GHA works
nhanes_sample <- as.data.frame(nhanes_sample)
expect_snapshot(head(rescale_weights(nhanes_sample, "WTINT2YR", "SDMVSTRA")))
expect_snapshot(head(rescale_weights(nhanes_sample, "WTINT2YR", c("SDMVSTRA", "SDMVPSU"))))
expect_snapshot(head(rescale_weights(nhanes_sample, probability_weights = "WTINT2YR", method = "kish")))
out <- rescale_weights(nhanes_sample, "WTINT2YR", "SDMVSTRA")
expect_equal(sum(out$rescaled_weights_a), 2992, tolerance = 1e-3)
expect_equal(sum(out$rescaled_weights_b), 2244.71451, tolerance = 1e-3)
out <- rescale_weights(nhanes_sample, "WTINT2YR", method = "kish")
expect_equal(sum(out$rescaled_weights), 2162.53961, tolerance = 1e-3)
out <- rescale_weights(nhanes_sample, "WTINT2YR", by = "SDMVPSU", method = "kish")
expect_equal(sum(out$rescaled_weights), 2163.3657, tolerance = 1e-3)
})
test_that("rescale_weights works as expected", {
data(nhanes_sample)
# convert tibble into data frame, so check-hard GHA works
nhanes_sample <- as.data.frame(nhanes_sample)[1:20, ]
# add NAs
set.seed(123)
nhanes_sample$WTINT2YR[sample.int(nrow(nhanes_sample), 5)] <- NA
expect_snapshot(rescale_weights(nhanes_sample, "WTINT2YR", "SDMVSTRA"))
expect_snapshot(rescale_weights(nhanes_sample, "WTINT2YR", method = "kish"))
})
test_that("rescale_weights nested works as expected", {
data(nhanes_sample)
# convert tibble into data frame, so check-hard GHA works
nhanes_sample <- as.data.frame(nhanes_sample)
expect_snapshot(
rescale_weights(
data = head(nhanes_sample, n = 30),
by = c("SDMVSTRA", "SDMVPSU"),
probability_weights = "WTINT2YR",
nest = TRUE
)
)
expect_warning(
{
x <- rescale_weights(
data = head(nhanes_sample),
by = "SDMVPSU",
probability_weights = "WTINT2YR",
nest = TRUE
)
},
"Only one group variable selected"
)
expect_identical(
x,
rescale_weights(
data = head(nhanes_sample),
by = "SDMVPSU",
probability_weights = "WTINT2YR"
)
)
})
test_that("rescale_weights errors and warnings", {
data(nhanes_sample)
expect_error(
rescale_weights(
data = head(nhanes_sample, n = 30),
by = c("a", "SDMVSTRA", "c"),
probability_weights = "WTINT2YR"
),
regex = "The following"
)
expect_error(
rescale_weights(
data = head(nhanes_sample, n = 30),
by = "SDMVSTRA",
probability_weights = NULL
),
regex = "is missing, but required"
)
expect_error(
rescale_weights(
data = head(nhanes_sample, n = 30),
by = NULL,
probability_weights = "WTINT2YR"
),
regex = "must be specified"
)
expect_error(
rescale_weights(
data = head(nhanes_sample, n = 30),
by = "abc",
probability_weights = "WTINT2YR",
method = "kish"
),
regex = "The following variable"
)
expect_warning(
rescale_weights(
data = head(nhanes_sample, n = 30),
by = "SDMVSTRA",
probability_weights = "WTINT2YR",
nest = TRUE,
method = "kish"
),
regex = "is ignored"
)
expect_error(
rescale_weights(
data = head(nhanes_sample, n = 30),
probability_weights = "WTINT2YR",
method = "dish"
),
regex = "Invalid option for argument"
)
nhanes_sample$rescaled_weights_a <- 1
expect_warning(
{
out <- rescale_weights(
data = head(nhanes_sample, n = 30),
by = "SDMVSTRA",
probability_weights = "WTINT2YR"
)
},
regex = "The variable name"
)
expect_named(
out,
c(
"total", "age", "RIAGENDR", "RIDRETH1", "SDMVPSU", "SDMVSTRA",
"WTINT2YR", "rescaled_weights_a", "rescaled_weights_a_1", "rescaled_weights_b"
)
)
})
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