# 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 wmurders_ts library(testthat) # library(timeseriesdatasets) activate the timeseriesdatasets package # Test that the object 'wmurders_ts' has the correct class test_that("wmurders_ts has the correct class of object", { # Check if 'wmurders_ts' is of class 'ts' expect_equal(class(wmurders_ts), "ts") }) # Test that 'wmurders_ts' has the correct number of observations test_that("wmurders_ts has the correct number of observations", { # Verify that the length of 'wmurders_ts' matches the expected number of observations expect_equal(length(wmurders_ts), 55) }) test_that("wmurders_ts has the correct frequency", { # Check if the frequency of 'wmurders_ts' is 1 (annual data) expect_equal(frequency(wmurders_ts), 1) }) test_that("wmurders_ts has the correct start and end", { # Verify that 'wmurders_ts' starts in January 1950 expect_equal(start(wmurders_ts), c(1950, 1)) # Verify that 'wmurders_ts' ends in January 2004 expect_equal(end(wmurders_ts), c(2004, 1)) }) test_that("wmurders_ts does not contain missing values", { # Check for NA values in the dataset expect_false(any(is.na(wmurders_ts))) })