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# CardioDataSets - A Comprehensive Collection of Cardiovascular and Heart Disease Datasets
# Version 0.1.0
# Copyright (C) 2025 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/>.
# view_datasets() function
library(testthat)
library(CardioDataSets)
test_that("view_datasets works when package is loaded", {
result <- view_datasets()
expect_type(result, "character")
expect_true(length(result) > 0)
})
test_that("view_datasets prints correct message", {
output <- capture_messages(view_datasets())
expect_match(
output[1],
"Datasets available in the 'CardioDataSets' package:",
fixed = TRUE
)
})
test_that("view_datasets returns expected datasets", {
datasets <- view_datasets()
expected_datasets <- c(
"heartdisease_tbl_df",
"hfPrevention_mtc_network",
"cad_anticoagulants_df",
"coronary_death_df",
"myocardialinfarction_df",
"emotion_heartrate_df",
"cardio_diabetes_tbl_df",
"cpr_survival_tbl_df",
"sulphinpyrazone_tbl_df",
"ami_occurrences_tbl_df",
"heartfailure_df",
"cardiac_failure_df",
"cardioRiskFactors_df",
"cv_mortality_ts",
"muscatine_coronary_risk_df",
"statinMIrisk_df",
"aortaDiss_tbl_df",
"mriCardioVars_tbl_df",
"usMortality_df",
"heart_transplant_df",
"heartTransplantTime_tbl_df",
"heartdiseaserisk_tbl_df",
"patient_CAV_df",
"cardiovascular_list",
"betablockers_matrix",
"scottish_CVD_df",
"acs_patients_df",
"age_heartrate_df",
"radial_ivus_df",
"cardiac_gwas_df"
)
# Check if all expected datasets are present
missing_datasets <- setdiff(expected_datasets, datasets)
expect_true(
length(missing_datasets) == 0,
info = paste("Missing datasets:", paste(missing_datasets, collapse = ", "))
)
})
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