# lightsf - Collection of georeferenced and spatial datasets from different domains # Version 0.1.0 # Copyright (C) 2025 Ingrid Romero Pinilla # # 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 . # cyclehire_pts library(testthat) # Test 1: Confirm the object is an sf and a data.frame test_that("cyclehire_pts is an sf and a data.frame", { expect_s3_class(cyclehire_pts, "sf") expect_s3_class(cyclehire_pts, "data.frame") }) # Test 2: Confirm it has exactly 6 columns test_that("cyclehire_pts has 6 columns", { expect_equal(length(cyclehire_pts), 6) }) # Test 3: Confirm it has exactly 742 rows test_that("cyclehire_pts has 742 rows", { expect_equal(nrow(cyclehire_pts), 742) }) # Test 4: Confirm column names are correct test_that("cyclehire_pts has correct column names", { expect_named(cyclehire_pts, c( "id", "name", "area", "nbikes", "nempty", "geometry" )) }) # Test 5: Confirm column types are as expected test_that("cyclehire_pts columns have correct types", { expect_type(cyclehire_pts$id, "integer") expect_s3_class(cyclehire_pts$name, "factor") expect_s3_class(cyclehire_pts$area, "factor") expect_type(cyclehire_pts$nbikes, "integer") expect_type(cyclehire_pts$nempty, "integer") expect_s3_class(cyclehire_pts$geometry, "sfc_POINT") }) # Test 6: Confirm geometry column integrity test_that("cyclehire_pts geometry column is valid", { expect_true("geometry" %in% names(cyclehire_pts)) expect_equal(attr(cyclehire_pts, "sf_column"), "geometry") })