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# 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 <https://www.gnu.org/licenses/>.
# HeadNeckCarcinoma_df data set
library(testthat)
# Test dataset structure and class
test_that("HeadNeckCarcinoma_df loads correctly and has the expected structure", {
expect_s3_class(HeadNeckCarcinoma_df, "data.frame") # Check if it's a data frame
expect_equal(nrow(HeadNeckCarcinoma_df), 65) # Check number of rows
expect_equal(ncol(HeadNeckCarcinoma_df), 5) # Check number of columns
expect_equal(names(HeadNeckCarcinoma_df), c("id", "trial", "OmE", "V", "grp")) # Check column names
})
# Test data types of columns
test_that("HeadNeckCarcinoma_df has correct column types", {
expect_true(is.numeric(HeadNeckCarcinoma_df$id)) # Check if 'id' is numeric
expect_true(is.character(HeadNeckCarcinoma_df$trial)) # Check if 'trial' is character
expect_true(is.numeric(HeadNeckCarcinoma_df$OmE)) # Check if 'OmE' is numeric
expect_true(is.numeric(HeadNeckCarcinoma_df$V)) # Check if 'V' is numeric
expect_true(is.integer(HeadNeckCarcinoma_df$grp)) # Check if 'grp' is integer
})
# Test for missing values in critical columns
test_that("HeadNeckCarcinoma_df reports NA values in the columns", {
n_na_id <- sum(is.na(HeadNeckCarcinoma_df$id))
n_na_trial <- sum(is.na(HeadNeckCarcinoma_df$trial))
n_na_OmE <- sum(is.na(HeadNeckCarcinoma_df$OmE))
n_na_V <- sum(is.na(HeadNeckCarcinoma_df$V))
n_na_grp <- sum(is.na(HeadNeckCarcinoma_df$grp))
expect_true(n_na_id == 0, info = paste("Found", n_na_id, "NA values in id"))
expect_true(n_na_trial == 0, info = paste("Found", n_na_trial, "NA values in trial"))
expect_true(n_na_OmE == 0, info = paste("Found", n_na_OmE, "NA values in OmE"))
expect_true(n_na_V == 0, info = paste("Found", n_na_V, "NA values in V"))
expect_true(n_na_grp == 0, info = paste("Found", n_na_grp, "NA values in grp"))
})
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