# DQAstats - Perform data quality assessment (DQA) of electronic health # records (EHR) # Copyright (C) 2019-2022 Universitätsklinikum Erlangen # # 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 . library(data.table) test_that("correct functioning of statistics", { set.seed(1) testdat <- data.table::data.table( "gender" = sample(x = c("m", "f", "u"), size = 20, replace = TRUE), "age" = rnorm(20, mean = 45, sd = 10) ) testdat[, ("gender") := factor(get("gender"))] testres <- count_uniques( data = testdat, var = "gender", sourcesystem = "testsystem", datamap = FALSE, utils_path = "testpath", filter = NULL ) expect_true(testres$valids == 20) testres <- extensive_summary( vector = testdat$age ) expect_known_hash(testres, "0fe6cc9f60") do.call( file.remove, list(list.files(tempdir(), pattern = "log$", full.names = TRUE)) ) })