test_that("Open and closed intervals work", {
#
expect_equal(in_interval(c(0,1), 0, 1, TRUE, TRUE), c(FALSE, FALSE))
expect_equal(in_interval(c(0,1), 0, 1, FALSE, FALSE), c(TRUE, TRUE))
})
test_that("Likelihood categories work", {
x <- seq(0, 1, length.out = 11)
larger_is_better <- get_likelihood_category(x, term_type = "improving-worsening")
smaller_is_better <- get_likelihood_category(x, term_type = "worsening-improving")
nothing_is_better <- get_likelihood_category(x, term_type = "likely-unlikely")
increasing_decreasing <- get_likelihood_category(x, term_type = "increasing-decreasing")
ipcc_1 <- get_likelihood_category(x, scale = "ipcc", term_type = "improving-worsening")
ipcc_2 <- get_likelihood_category(x, scale = "ipcc", term_type = "worsening-improving")
# level order should be the same regardless of the direction of improvement
expect_identical(levels(order_likelihood_levels(larger_is_better)), levels(order_likelihood_levels(smaller_is_better)))
# Ensure level order is correct for plotting and stuff
expect_equal(levels(order_likelihood_levels(larger_is_better))[1], "Very likely improving")
expect_equal(levels(order_likelihood_levels(nothing_is_better))[1], "Very likely")
expect_equal(levels(order_likelihood_levels(ipcc_1))[1], "Virtually certain")
expect_equal(levels(order_likelihood_levels(increasing_decreasing))[1], "Very likely increasing")
# Ensure imrpoving and worsening work as expected
expect_equal(as.character(larger_is_better[1]), "Very likely worsening")
expect_equal(as.character(smaller_is_better[1]), "Very likely improving")
expect_equal(as.character(ipcc_1)[1], "Exceptionally unlikely")
expect_equal(as.character(increasing_decreasing)[1], "Very likely increasing")
# improving should not matter for ipcc
expect_identical(ipcc_1, ipcc_2)
# probability and percentage should be identical
expect_identical(get_likelihood_category(x, p_is = "probability"),
get_likelihood_category(x * 100, p_is = "percentage"))
# error when x is weird
expect_error(get_likelihood_category(x * 2))
expect_error(get_likelihood_category(x * 200, p_is = "percentage"))
expect_error(get_likelihood_category(x * -1))
# when there are NAs
expect_warning(get_likelihood_category(NA), "All values in p are NA")
expect_warning(get_likelihood_category(c(NA, NA)), "All values in p are NA")
expect_warning(get_likelihood_category(c(0,NA,1)), "NA values found in p")
})
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