# 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("Validation of function digit_test") test_that(desc = "Print and plot call", { testthat::skip_on_cran() data("sinoForest") res <- digit_test(x = sinoForest$value, check = "first", reference = "benford") p <- plot(res) expect_equal(is.null(p), FALSE) }) test_that(desc = "Validate Derks et al. (2020)", { data("sinoForest") res <- digit_test(x = sinoForest$value, check = "first", reference = "benford") expect_equal(as.numeric(res$n), 772) expect_equal(as.numeric(res$statistic), 7.6517426989499855) expect_equal(as.numeric(res$parameter), 8) expect_equal(as.numeric(res$p.value), 0.46820638130036729) }) test_that(desc = "Validate uniform distribution", { testthat::skip_on_cran() expect_warning({ res <- digit_test(x = 1:9, check = "first", reference = "uniform") }) expect_equal(as.numeric(res$n), 9) expect_equal(as.numeric(res$statistic), 0) expect_equal(as.numeric(res$parameter), 8) expect_equal(as.numeric(res$p.value), 1) }) test_that(desc = "Validate benford.analysis package first digits", { testthat::skip_on_cran() ba <- benford.analysis::benford(data = sinoForest$value, number.of.digits = 1) dt <- digit_test(x = sinoForest$value, check = "first") expect_equal(as.numeric(ba$bfd$data.dist.freq), as.numeric(dt$observed)) expect_equal(as.numeric(ba[["stats"]]$chisq$statistic), as.numeric(dt$statistic)) expect_equal(as.numeric(ba[["stats"]]$chisq$parameter), as.numeric(dt$parameter)) expect_equal(as.numeric(ba[["stats"]]$chisq$p.value), as.numeric(dt$p.value)) }) test_that(desc = "Validate benford.analysis package first and second digits", { testthat::skip_on_cran() ba <- benford.analysis::benford(data = sinoForest$value, number.of.digits = 2) expect_warning({ dt <- digit_test(x = sinoForest$value, check = "firsttwo") }) expect_equal(as.numeric(ba$bfd$data.dist.freq), as.numeric(dt$observed)) expect_equal(as.numeric(ba[["stats"]]$chisq$statistic), as.numeric(dt$statistic)) expect_equal(as.numeric(ba[["stats"]]$chisq$parameter), as.numeric(dt$parameter)) expect_equal(as.numeric(ba[["stats"]]$chisq$p.value), as.numeric(dt$p.value)) }) test_that(desc = "Validate BenfordTests package first digits", { testthat::skip_on_cran() bt <- BenfordTests::chisq.benftest(x = sinoForest$value, digits = 1) dt <- digit_test(x = sinoForest$value, check = "first") expect_equal(as.numeric(bt$statistic), as.numeric(dt$statistic)) expect_equal(as.numeric(bt$p.value), as.numeric(dt$p.value)) }) test_that(desc = "Validate BeyondBenford package first digits", { testthat::skip_on_cran() bb <- BeyondBenford::chi2(sinoForest$value, mod = "ben", dig = 1, pval = 1) dt <- digit_test(x = sinoForest$value, check = "first") expect_equal(as.numeric(bb$chi2[2]), as.numeric(dt$statistic)) expect_equal(as.numeric(bb$pval[2]), as.numeric(dt$p.value)) }) test_that(desc = "Validate Derks et al. (2020)", { data("sinoForest") res <- digit_test(x = sinoForest$value, check = "first", reference = "benford", prior = TRUE) expect_equal(1 / as.numeric(res$bf), 6899678.1488) }) test_that(desc = "Validate uniform distribution", { testthat::skip_on_cran() res <- digit_test(x = 1:9, check = "first", reference = "uniform", prior = TRUE) expect_equal(1 / as.numeric(res$bf), 22.77012458) }) test_that(desc = "Validate benford.analysis package", { testthat::skip_on_cran() ba <- benford.analysis::benford(data = sinoForest$value, number.of.digits = 1) dt <- digit_test(x = sinoForest$value, check = "first") expect_equal(as.numeric(ba$bfd$data.dist.freq), as.numeric(dt$observed)) })