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# NeuroDataSets - A Comprehensive Collection of Neuroscience and Brain-Related Datasets
# Version 0.3.1
# Copyright (C) 2025-2026 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_NeuroDataSets
library(testthat)
library(NeuroDataSets)
test_that("view_datasets_NeuroDataSets works when package is loaded", {
result <- view_datasets_NeuroDataSets()
expect_type(result, "character")
expect_true(length(result) > 0)
})
test_that("view_datasets_NeuroDataSets prints correct message", {
output <- capture_messages(view_datasets_NeuroDataSets())
expect_match(
output[1],
"Datasets available in the 'NeuroDataSets' package:",
fixed = TRUE
)
})
test_that("view_datasets_NeuroDataSets returns expected datasets", {
datasets <- view_datasets_NeuroDataSets()
expected_datasets <- c(
"aba_phenotype_data_df",
"ability_intelligence_list",
"adolescent_mental_health_df",
"alzheimer_smoking_df",
"AD_biomarkers_tbl_df",
"bilingual_brains_df",
"blood_brain_barrier_df",
"brain_litter_mammals_df",
"brain_size_iq_df",
"brain_string_players_df",
"brains_cognitive_matrix",
"cocaine_dopamine_df",
"DA_schizophrenia_tbl_df",
"epilepsy_drug_qol_df",
"epilepsy_drug_trial_df",
"epilepsy_RCT_tbl_df",
"gm_expected_patterns_tbl_df",
"guineapig_neuro_df",
"hippocampus_lesions_df",
"mammals_brain_body_df",
"markers_brain_df",
"markers_human_brain_df",
"markers_mouse_brain_df",
"migraine_treatment_df",
"neanderthal_brains_df",
"neuro_pointprocess_matrix",
"psych_neurocog_df",
"parkinsons_dopamine_list",
"pediatric_glioma_tbl_df",
"sleep_performance_df",
"subcortical_patterns_tbl_df",
"WMpatterns_tbl_df",
"dementia_df",
"ADHD_df",
"chimpbrains_df",
"brainexpression_df",
"cerebellar_age_df",
"tourette_ADHD_df",
"encephalitis_df",
"SAHemorrhage_df",
"brainvolume_df",
"TBI_steroids_df",
"migraines_df",
"acupuncture_df",
"migrane_dose_df",
"neurodeg_dose_df",
"sleep_disorder_df",
"sleep_deprivation_tbl_df",
"OASIS_cross_tbl_df",
"OASIS_long_tbl_df",
"iq_country_tbl_df",
"nfl_concussions_tbl_df",
"ASD_risks_tbl_df",
"TBI_age_tbl_df",
"TBI_military_tbl_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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