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# infectiousR - Access Infectious and Epidemiological Data via 'disease.sh API'
# 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/>.
# measles_infections_df
library(testthat)
# Test 1: Confirm class is data frame
test_that("measles_infections_df is a data frame", {
expect_s3_class(measles_infections_df, "data.frame")
})
# Test 2: Check column names
test_that("measles_infections_df has correct column names", {
expect_named(measles_infections_df, c("year", "week", "cases"))
})
# Test 3: Check number of columns
test_that("measles_infections_df has 3 columns", {
expect_equal(length(measles_infections_df), 3)
})
# Test 4: Check number of rows
test_that("measles_infections_df has 646 rows", {
expect_equal(nrow(measles_infections_df), 646)
})
# Test 5: Check column types are numeric
test_that("All columns in measles_infections_df are numeric", {
expect_true(is.numeric(measles_infections_df$year))
expect_true(is.numeric(measles_infections_df$week))
expect_true(is.numeric(measles_infections_df$cases))
})
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