test_that("p_significance", {
  set.seed(333)
  x <- rnorm(100)
  expect_equal(
    format(point_estimate(x)),
    data.frame(Median = "0.05", Mean = "-0.02", MAP = "0.13", stringsAsFactors = FALSE),
    ignore_attr = TRUE
  )
  expect_equal(
    format(ci(x)),
    data.frame(`95% CI` = "[-1.93, 1.77]", stringsAsFactors = FALSE),
    ignore_attr = TRUE
  )
  expect_equal(
    format(p_rope(x)),
    data.frame(ROPE = "[-0.10, 0.10]", `p (ROPE)` = "0.100", stringsAsFactors = FALSE),
    ignore_attr = TRUE
  )
  expect_equal(
    format(map_estimate(x)),
    data.frame(Parameter = "x", MAP_Estimate = "0.13", stringsAsFactors = FALSE),
    ignore_attr = TRUE
  )
  expect_equal(
    format(p_direction(x)),
    data.frame(Parameter = "Posterior", pd = "51.00%", stringsAsFactors = FALSE),
    ignore_attr = TRUE
  )
  expect_equal(
    format(p_map(x)),
    data.frame(Parameter = "Posterior", p_MAP = "0.973", stringsAsFactors = FALSE),
    ignore_attr = TRUE
  )
  expect_equal(
    format(p_significance(x)),
    data.frame(Parameter = "Posterior", ps = "0.46", stringsAsFactors = FALSE),
    ignore_attr = TRUE
  )
  expect_equal(
    format(rope(x)),
    data.frame(CI = "0.95", ROPE = "[-0.10, 0.10]", `% in ROPE` = "10.64%", stringsAsFactors = FALSE),
    ignore_attr = TRUE
  )
  expect_equal(
    format(equivalence_test(x)),
    data.frame(
      CI = "0.95", ROPE = "[-0.10, 0.10]", `% in ROPE` = "10.64%",
      `Equivalence (ROPE)` = "Undecided", HDI_low = "-1.93", HDI_high = "1.77",
      stringsAsFactors = FALSE
    ),
    ignore_attr = TRUE
  )
  skip_if_not_installed("logspline")
  expect_equal(
    format(bayesfactor_parameters(x, verbose = FALSE)),
    data.frame(BF = "1.00", stringsAsFactors = FALSE),
    ignore_attr = TRUE
  )
})