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# timeseriesdatasets package, a collection of time series data sets for R.
# Copyright (C) 2024 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/>.
# data set qcement_ts
library(testthat)
# library(timeSeriesDataSets) activate the timeSeriesDataSets package
# Test that the object 'qcement_ts' has the correct class
test_that("qcement_ts has the correct class of object", {
# Check if 'qcement_ts' is of class 'ts'
expect_equal(class(qcement_ts), "ts")
})
# Test that 'qcement_ts' has the correct number of observations
test_that("qcement_ts has the correct number of observations", {
# Verify that the length of 'qcement_ts' matches the expected number of observations
expect_equal(length(qcement_ts), 233)
})
# Test that 'qcement_ts' has the correct frequency
test_that("qcement_ts has the correct frequency", {
# Check if the frequency of 'qcement_ts' is 4 (quarterly data)
expect_equal(frequency(qcement_ts), 4)
})
test_that("qcement_ts has the correct start and end", {
# Verify that 'qcement_ts' starts in January 1956
expect_equal(start(qcement_ts), c(1956, 1))
# Verify that 'qcement_ts' ends in January 2014
expect_equal(end(qcement_ts), c(2014, 1))
})
test_that("qcement_ts does not contain missing values", {
# Check for NA values in the dataset
expect_false(any(is.na(qcement_ts)))
})
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