# 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 . # data set beer_ts library(testthat) # library(timeSeriesDataSets) activate the timeSeriesDataSets package # Test that the object 'beer_ts' has the correct class test_that("beer_ts has the correct class of object", { # Check if 'beer_ts' is of class 'ts' expect_equal(class(beer_ts), "ts") }) # Test that 'beer_ts' has the correct number of observations test_that("beer_ts has the correct number of observations", { # Verify that the length of 'beer_ts' matches the expected number of observations expect_equal(length(beer_ts), 56) }) # Test that 'beer_ts' has the correct frequency test_that("beer_ts has the correct frequency", { # Check if the frequency of 'beer_ts' is 12 (monthly data) expect_equal(frequency(beer_ts), 12) }) # Test that 'beer_ts' has the correct start and end times test_that("beer_ts has the correct start and end", { # Verify that 'beer_ts' starts in the first quarter of 1991 (January 1991) expect_equal(start(beer_ts), c(1991, 1)) # Verify that 'beer_ts' ends in the third quarter of 1995 (August 1995) expect_equal(end(beer_ts), c(1995, 8)) }) test_that("beer_ts does not contain missing values", { # Check for NA values in the dataset expect_false(any(is.na(beer_ts))) })