tests/testthat/test-cocaine_dopamine_df.R

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

# NeuroDataSets - A Comprehensive Collection of Neuroscience and Brain-Related Datasets
# Version 0.1.0
# 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/>.

# cocaine_dopamine_df

library(testthat)

# Test 1: Verify Data Frame Structure and Class
test_that("cocaine_dopamine_df has correct structure", {
  expect_s3_class(cocaine_dopamine_df, "data.frame")
  expect_false(inherits(cocaine_dopamine_df, "tbl_df")) # Explicitly not a tibble
})

# Test 2: Validate Dimensions
test_that("cocaine_dopamine_df has correct dimensions", {
  expect_equal(nrow(cocaine_dopamine_df), 34)
  expect_equal(ncol(cocaine_dopamine_df), 2)
})

# Test 3: Check Column Names and Types
test_that("Column names and types are correct", {
  expect_named(cocaine_dopamine_df, c("percent.blocked", "high"))
  expect_type(cocaine_dopamine_df$percent.blocked, "integer")
  expect_type(cocaine_dopamine_df$high, "integer")
})

# Test 4: Content Validation (Non-modifying checks)
test_that("Columns contain appropriate types", {
  expect_true(all(is.integer(cocaine_dopamine_df$percent.blocked) |
                    is.na(cocaine_dopamine_df$percent.blocked)))
  expect_true(all(is.integer(cocaine_dopamine_df$high) |
                    is.na(cocaine_dopamine_df$high)))
})

# Test 5: Basic Completeness Check
test_that("Dataset has no entirely empty columns", {
  expect_false(any(sapply(cocaine_dopamine_df, function(x) all(is.na(x)))))
})

# Test 6: Verify No Character Conversion Needed
test_that("No columns need type conversion", {
  expect_false(any(sapply(cocaine_dopamine_df, is.character)))
})