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# crimedatasets - A Comprehensive Collection of Crime-Related Datasets
# Version 0.1.0
# Copyright (C) 2024 Renzo Cáceres 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/>.
# camden_crimes_df data set
library(testthat)
test_that("camden_crimes_df loads correctly and has the expected structure", {
# Verify data class
expect_s3_class(camden_crimes_df, "data.frame")
# Check column count and names
expect_equal(ncol(camden_crimes_df), 4)
expected_columns <- c("x", "y", "date", "type")
expect_equal(names(camden_crimes_df), expected_columns)
# Verify row count
expect_equal(nrow(camden_crimes_df), 4578)
# Validate column types
expect_type(camden_crimes_df$x, "double")
expect_type(camden_crimes_df$y, "double")
expect_s3_class(camden_crimes_df$date, "Date")
expect_type(camden_crimes_df$type, "character")
# Verify no missing values
expect_false(anyNA(camden_crimes_df))
# Check for spatial attributes
expect_true("sf_column" %in% names(attributes(camden_crimes_df)))
})
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