# 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 books_mts # library(timeseriesdatasets) activate package timeseriesdatasets library(testthat) test_that("books_mts has the correct class of object", { expect_true("mts" %in% class(books_mts)) # Check if 'mts' is among the classes expect_true("ts" %in% class(books_mts)) # Check if 'ts' is among the classes }) # Test that 'books_mts' has the correct number of observations test_that("books_mts has the correct number of observations", { expect_equal(length(books_mts), 60) }) test_that("books_mts has the correct frequency", { # Check if the frequency of 'books_mts' is 1 (annual data) expect_equal(frequency(books_mts), 1) }) test_that("books_mts has the correct start and end", { # Verify that 'books_mts' starts in the first time period of the first year expect_equal(start(books_mts), c(1, 1)) # Verify that 'books_mts' ends in the 30th time period of the first year expect_equal(end(books_mts), c(30, 1)) }) test_that("books_mts does not contain missing values", { # Check for NA values in the dataset expect_false(any(is.na(books_mts))) })