context("Icdf output")
skip_on_cran()
set.seed(1)
Y <- rchisq(10, 3)
H <- rep("str1", 10)
PSU <- 1:10
w <- rep(2, 10)
test <- data.frame(Y = Y,
H = H,
PSU = PSU,
w = w)
des <- survey::svydesign(
id = ~ PSU,
strata = ~ H,
weights = w,
data = test
)
des <- convey_prep(des)
a <- icdf( ~ Y, des, 5)
test_that("out components", {
expect_is(a, "cvystat")
expect_equal(length(a), 1)
expect_is(a[1], "numeric")
expect_equal(length(attr(a, "lin")), nrow(test))
expect_named(attributes(a), c("class", "lin", "var", "statistic"))
expect_lte(a[1], 1)
expect_gte(a[1], 0)
})
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