# Copyright (C) 2020-2023 Koen Derks # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program. If not, see . context("Benchmark against R package samplingbook") # samplingbook R package (version 1.2.4) test_that(desc = "(id: f15-v0.6.3-t1) Validate hypergeometric 99% upper bounds", { ub_level <- 0.99 interval_level <- ub_level - (1 - ub_level) index <- 1 ub_jfa <- numeric() ub_sb <- numeric() for (N in seq(400, 1000, 50)) { for (n in seq(20, 300, 10)) { for (k in 0:10) { ub_jfa[index] <- evaluation(materiality = 0.99, n = n, x = k, method = "hypergeometric", N.units = N, conf.level = ub_level, alternative = "less")$ub ub_sb[index] <- suppressWarnings(expr = { samplingbook::Sprop(m = k, n = n, N = N, level = interval_level)$ci$exact[2] }) index <- index + 1 } } } expect_equal(ub_jfa, ub_sb, tolerance = 0.005) }) test_that(desc = "(id: f15-v0.6.3-t2) Validate hypergeometric 95% upper bounds", { ub_level <- 0.95 interval_level <- ub_level - (1 - ub_level) index <- 1 ub_jfa <- numeric() ub_sb <- numeric() for (N in seq(400, 1000, 50)) { for (n in seq(20, 300, 10)) { for (k in 0:10) { ub_jfa[index] <- evaluation(materiality = 0.99, n = n, x = k, method = "hypergeometric", N.units = N, conf.level = ub_level, alternative = "less")$ub ub_sb[index] <- suppressWarnings(expr = { samplingbook::Sprop(m = k, n = n, N = N, level = interval_level)$ci$exact[2] }) index <- index + 1 } } } expect_equal(ub_jfa, ub_sb, tolerance = 0.005) }) test_that(desc = "(id: f15-v0.6.3-t3) Validate hypergeometric 90% upper bounds", { ub_level <- 0.90 interval_level <- ub_level - (1 - ub_level) index <- 1 ub_jfa <- numeric() ub_sb <- numeric() for (N in seq(400, 1000, 50)) { for (n in seq(20, 300, 10)) { for (k in 0:10) { ub_jfa[index] <- evaluation(materiality = 0.99, n = n, x = k, method = "hypergeometric", N.units = N, conf.level = ub_level, alternative = "less")$ub ub_sb[index] <- suppressWarnings(expr = { samplingbook::Sprop(m = k, n = n, N = N, level = interval_level)$ci$exact[2] }) index <- index + 1 } } } expect_equal(ub_jfa, ub_sb, tolerance = 0.005) })