# MedDataSets - Comprehensive Medical, Disease, Treatment, and Drug Datasets # Version 0.1.0 # Copyright (C) 2024 Renzo Caceres Rossi # # 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 . # Aids2_df data set library(testthat) library(MedDataSets) # Test that Aids2_df has the correct structure test_that("Aids2_df has the correct structure", { expect_s3_class(Aids2_df, "data.frame") # Dimensions test expect_equal(nrow(Aids2_df), 2843) expect_equal(ncol(Aids2_df), 7) # Column names test expected_names <- c("state", "sex", "diag", "death", "status", "T.categ", "age") expect_equal(names(Aids2_df), expected_names) }) # Test that Aids2_df has correct data types test_that("Aids2_df has correct data types", { # Factor columns expect_s3_class(Aids2_df$state, "factor") expect_s3_class(Aids2_df$sex, "factor") expect_s3_class(Aids2_df$status, "factor") expect_s3_class(Aids2_df$T.categ, "factor") # Integer columns expect_type(Aids2_df$diag, "integer") expect_type(Aids2_df$death, "integer") expect_type(Aids2_df$age, "integer") }) # Test that Aids2_df has no NA values test_that("Aids2_df has no NA values", { expect_false(any(is.na(Aids2_df))) }) # Test that Aids2_df values are in valid ranges test_that("Aids2_df has values in valid ranges", { # Check if age values are non-negative expect_true(all(Aids2_df$age >= 0)) # Check if diagnosis and death counts are non-negative expect_true(all(Aids2_df$diag >= 0)) expect_true(all(Aids2_df$death >= 0)) })