tests/testthat/test-WMpatterns_tbl_df.R

In NeuroDataSets: A Comprehensive Collection of Neuroscience and Brain-Related Datasets

# 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/>.

# WMpatterns_tbl_df

library(testthat)

# Test 1: Verify Tibble Structure and Class
test_that("WMpatterns_tbl_df  is a tibble with correct class", {
  expect_s3_class(WMpatterns_tbl_df , "tbl_df")
  expect_s3_class(WMpatterns_tbl_df , "tbl")
  expect_s3_class(WMpatterns_tbl_df , "data.frame")
})

# Test 2: Validate Dimensions
test_that("WMpatterns_tbl_df  has correct dimensions", {
  expect_equal(nrow(WMpatterns_tbl_df ), 24)
  expect_equal(ncol(WMpatterns_tbl_df ), 15)
})

# Test 3: Check Column Names and Types
test_that("Column names and types are correct", {
  expected_names <- c(
    "WM", "SSD", "MDD", "AD_ADNI", "AD_ADNIOSYRIX", "BD", "Diabetes",
    "HighBP", "HighLipids", "MET", "DS_22q", "PTSD", "TBI",
    "OCD_pediatric", "OCD_adult"
  )
  expect_named(WMpatterns_tbl_df , expected_names)

  expect_type(WMpatterns_tbl_df $WM, "character")
  expect_type(WMpatterns_tbl_df $SSD, "double")
  expect_type(WMpatterns_tbl_df $MDD, "double")
  expect_type(WMpatterns_tbl_df $AD_ADNI, "double")
  expect_type(WMpatterns_tbl_df $AD_ADNIOSYRIX, "double")
  expect_type(WMpatterns_tbl_df $BD, "double")
  expect_type(WMpatterns_tbl_df $Diabetes, "double")
  expect_type(WMpatterns_tbl_df $HighBP, "double")
  expect_type(WMpatterns_tbl_df $HighLipids, "double")
  expect_type(WMpatterns_tbl_df $MET, "double")
  expect_type(WMpatterns_tbl_df $DS_22q, "double")
  expect_type(WMpatterns_tbl_df $PTSD, "double")
  expect_type(WMpatterns_tbl_df $TBI, "double")
  expect_type(WMpatterns_tbl_df $OCD_pediatric, "double")
  expect_type(WMpatterns_tbl_df $OCD_adult, "double")
})

# Test 4: Verify WM Column Uniqueness
test_that("WM column contains unique values", {
  expect_equal(length(unique(WMpatterns_tbl_df $WM)),
               nrow(WMpatterns_tbl_df ))
})

# Test 5: Content Validation (Non-modifying checks)
test_that("Numeric columns contain valid values", {
  numeric_cols <- setdiff(names(WMpatterns_tbl_df ), "WM")
  for (col in numeric_cols) {
    expect_true(all(is.na(WMpatterns_tbl_df [[col]]) |
                      is.numeric(WMpatterns_tbl_df [[col]])))
  }
})

# Test 6: No Unexpected NA Patterns
test_that("No columns are entirely NA", {
  na_counts <- colSums(is.na(WMpatterns_tbl_df ))
  expect_false(any(na_counts == nrow(WMpatterns_tbl_df )))
})

# Test 7: Verify No Empty Character Strings in WM Column
test_that("WM column has no empty strings", {
  expect_false(any(WMpatterns_tbl_df $WM == ""))
})

# Test 8: Verify Consistent NA Patterns (if applicable)
test_that("NA patterns are consistent with expected structure", {
  # Example check: If certain columns should never have NAs
  expect_true(all(!is.na(WMpatterns_tbl_df $WM)))
})