# OncoDataSets - A Comprehensive Collection of Cancer Types and Cancer-related 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 . # PSAProstateCancer_df data set library(testthat) test_that("PSAProstateCancer_df loads correctly and has the expected structure", { # Check if the object is a data frame expect_true(is.data.frame(PSAProstateCancer_df)) # Check the number of rows and columns expect_equal(nrow(PSAProstateCancer_df), 97) expect_equal(ncol(PSAProstateCancer_df), 9) # Check the column names expected_names <- c("lcavol", "lweight", "age", "lbph", "svi", "lcp", "gleason", "pgg45", "lpsa") expect_equal(names(PSAProstateCancer_df), expected_names) # Check the data types of each column expect_true(is.numeric(PSAProstateCancer_df$lcavol)) expect_true(is.numeric(PSAProstateCancer_df$lweight)) expect_true(is.integer(PSAProstateCancer_df$age)) expect_true(is.numeric(PSAProstateCancer_df$lbph)) expect_true(is.integer(PSAProstateCancer_df$svi)) expect_true(is.numeric(PSAProstateCancer_df$lcp)) expect_true(is.integer(PSAProstateCancer_df$gleason)) expect_true(is.integer(PSAProstateCancer_df$pgg45)) expect_true(is.numeric(PSAProstateCancer_df$lpsa)) # Check for missing values in the dataset expect_false(any(is.na(PSAProstateCancer_df))) # Check that all integer columns contain valid integers integer_columns <- c("age", "svi", "gleason", "pgg45") for (col in integer_columns) { expect_true(all(PSAProstateCancer_df[[col]] == as.integer(PSAProstateCancer_df[[col]]))) } })