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)
})