context("zscores - bmi for age")
describe("anthro_zscore_bmi_for_age", {
it("fails if bmi is not numeric", {
expect_error(anthro_zscore_bmi_for_age(
"50", 44,
to_months(44), 1, "n"
), "measure")
})
it("fails if age is not numeric", {
expect_error(anthro_zscore_bmi_for_age(
50, "44",
to_months(44), 1, "n"
), "age")
})
it("fails if sex is not 1 or 2", {
expect_error(anthro_zscore_bmi_for_age(
50, 44,
to_months(44), 3, "n"
), "sex")
expect_error(anthro_zscore_bmi_for_age(
50, 44,
to_months(44), "F", "n"
), "sex")
})
it("sets result to NA if oedema is y", {
expect_true(is.na(anthro_zscore_bmi_for_age(
50, 44,
to_months(44), 1, "y"
)$zbmi))
})
it("has a default flag threshold of -6;5", {
observed <- anthro_zscore_bmi_for_age(25, 1, to_months(1), 2, "n")
expect_equal(observed$fbmi, 1L)
observed <- anthro_zscore_bmi_for_age(10.37, 1, to_months(1), 2, "n",
flag_threshold = c(-0.1, 0.1)
)
expect_equal(observed$fbmi, 1L)
})
it("does not compute zscores where no growthstandards are present", {
observed <- anthro_zscore_bmi_for_age(
c(50, 60),
c(1, 1857),
to_months(c(1, 1857)),
c(1, 1),
c("n", "n")
)
expect_true(is.data.frame(observed))
expect_equal(is.na(observed$zbmi), c(FALSE, TRUE))
expect_equal(is.na(observed$fbmi), c(FALSE, TRUE))
})
it("ignores zscores for age < 0 and age >= 1856", {
observed <- anthro_zscore_bmi_for_age(50, 1857, to_months(1857), 1, "n")
expect_true(is.na(observed$zbmi))
expect_true(is.na(observed$fbmi))
observed <- anthro_zscore_bmi_for_age(50, -1, to_months(1857), 1, "n")
expect_true(is.na(observed$zbmi))
expect_true(is.na(observed$fbmi))
})
})
test_that("it returns NA if headc is <= 0", {
observed <- anthro_zscore_bmi_for_age(
bmi = c(-1, 0),
age_in_days = c(100, 100),
age_in_months = to_months(c(100, 100)),
sex = c(1, 1),
oedema = c("n", "n")
)
expect_true(all(is.na(observed$zbmi)))
expect_true(all(is.na(observed$fbmi)))
expect_true(is.numeric(observed$zbmi))
})
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