# PenguinR - A Comprehensive Collection of Penguin Datasets for Statistical Analysis and Experimental Design # Version 0.1.0 # Copyright (C) 2025 Juan Pablo Vargas Perez # # 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 . library(testthat) # Test 1: Confirm the object is a tibble and a data.frame test_that("peng_df is a tibble and a data.frame", { expect_s3_class(peng_df, "tbl_df") expect_s3_class(peng_df, "data.frame") }) # Test 2: Confirm it has exactly 8 columns test_that("peng_df has 8 columns", { expect_equal(length(peng_df), 8) }) # Test 3: Confirm it has exactly 333 rows test_that("peng_df has 333 rows", { expect_equal(nrow(peng_df), 333) }) # Test 4: Confirm column names are correct test_that("peng_df has correct column names", { expect_named(peng_df, c( "species", "island", "bill_length", "bill_depth", "flipper_length", "body_mass", "sex", "year" )) }) # Test 5: Confirm column types are as expected test_that("peng_df columns have correct types", { expect_s3_class(peng_df$species, "factor") expect_s3_class(peng_df$island, "factor") expect_type(peng_df$bill_length, "double") expect_type(peng_df$bill_depth, "double") expect_type(peng_df$flipper_length, "integer") expect_type(peng_df$body_mass, "integer") expect_s3_class(peng_df$sex, "factor") expect_type(peng_df$year, "integer") })