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# 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 <https://www.gnu.org/licenses/>.
# Cushings_df data set
library(testthat)
library(MedDataSets)
# Test that Cushings_df has the correct structure
test_that("Cushings_df has the correct structure", {
expect_s3_class(Cushings_df, "data.frame")
# Dimensions test
expect_equal(nrow(Cushings_df), 27)
expect_equal(ncol(Cushings_df), 3)
# Column names test
expected_names <- c("Tetrahydrocortisone", "Pregnanetriol", "Type")
expect_equal(names(Cushings_df), expected_names)
})
# Test that Cushings_df has correct data types
test_that("Cushings_df has correct data types", {
# Numeric columns
expect_type(Cushings_df$Tetrahydrocortisone, "double")
expect_type(Cushings_df$Pregnanetriol, "double")
# Factor column
expect_s3_class(Cushings_df$Type, "factor")
})
# Test that Cushings_df has no NA values
test_that("Cushings_df has no NA values", {
expect_false(any(is.na(Cushings_df)))
})
# Test that Cushings_df values are in valid ranges
test_that("Cushings_df has values in valid ranges", {
# Check if numeric values are finite
expect_true(all(is.finite(Cushings_df$Tetrahydrocortisone)))
expect_true(all(is.finite(Cushings_df$Pregnanetriol)))
# Example logical ranges (you may adjust these as necessary)
expect_true(all(Cushings_df$Tetrahydrocortisone >= 0)) # Assuming values cannot be negative
expect_true(all(Cushings_df$Pregnanetriol >= 0)) # Assuming values cannot be negative
})
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