context("Test datasets have correct dimensions")
# Airlines
test_that("Airlines has 500 rows and 3 columns", {
data("airlines")
expect_equal(nrow(airlines), 500)
expect_equal(ncol(airlines), 3)
})
# Algebra
test_that("Algebra has 125 rows and 5 columns", {
data("algebra")
expect_equal(nrow(algebra), 125)
expect_equal(ncol(algebra), 5)
# rm(algebra)
})
# Bikes
test_that("Bikes has 951 rows and 3 columns", {
data("bikes")
expect_equal(nrow(bikes), 951)
expect_equal(ncol(bikes), 3)
})
# Calculators
test_that("Calculators has 24 rows and 4 columns", {
data("calculators")
expect_equal(nrow(calculators), 24)
expect_equal(ncol(calculators), 4)
# rm(calculators)
})
# Colvard
test_that("Colvard has 120 rows and 5 columns", {
data("colvard")
expect_equal(nrow(colvard), 120)
expect_equal(ncol(colvard), 5)
# rm(colvard)
})
# Countries
test_that("Countries has 215 rows and 25 columns", {
data("countries")
expect_equal(nrow(countries), 215)
expect_equal(ncol(countries), 25)
# rm(countries)
})
# Court Cases
test_that("Court Cases has 150 rows and 3 columns", {
data("courts")
expect_equal(nrow(courts), 150)
expect_equal(ncol(courts), 3)
# rm(courts)
})
# Depression
test_that("Depression has 125 rows and 3 columns", {
data("depression")
expect_equal(nrow(depression), 125)
expect_equal(ncol(depression), 3)
# rm(depression)
})
# Detergent
test_that("Detergent has 150 rows and 3 columns", {
data("detergent")
expect_equal(nrow(detergent), 150)
expect_equal(ncol(detergent), 3)
# rm(detergent)
})
# Disease
test_that("Diseases has 196 rows and 4 columns", {
data("disease")
expect_equal(nrow(disease), 196)
expect_equal(ncol(disease), 4)
# rm(disease)
})
# Ethics
test_that("Ethics has 87 rows and 5 columns", {
data("ethics")
expect_equal(nrow(ethics), 87)
expect_equal(ncol(ethics), 5)
})
# Example
test_that("Example has 200 rows and 7 columns", {
data("example")
expect_equal(nrow(example), 200)
expect_equal(ncol(example), 7)
})
# Facebook_grey
test_that("facebook_grey has 40 rows and 2 columns", {
data("facebook_grey")
expect_equal(nrow(facebook_grey), 40)
expect_equal(ncol(facebook_grey), 2)
# rm(facebook_grey)
})
# flights
test_that("Flights has 31 rows and 1 column", {
data("flights")
expect_equal(nrow(flights), 31)
expect_equal(ncol(flights), 1)
# rm(flights)
})
# Flu
test_that("Flu has 50 rows and 2 columns", {
data("flu")
expect_equal(nrow(flu), 50)
expect_equal(ncol(flu), 2)
# rm(flu)
})
# Hospital satisfaction
test_that("Hospital Satisfaction has 23 rows and 5 columns", {
data("hospital")
expect_equal(nrow(hospital), 23)
expect_equal(ncol(hospital), 5)
# rm(hospital)
})
# Houses
test_that("Houses has 30 rows and 6 columns", {
data("houses")
expect_equal(nrow(houses), 30)
expect_equal(ncol(houses), 6)
# rm(houses)
})
# Mammals
test_that("Mammals has 51 rows and 6 columns", {
data("mammals")
expect_equal(nrow(mammals), 51)
expect_equal(ncol(mammals), 6)
# rm(mammals)
})
# Mum
test_that("Mum has 40 rows and 3 columns", {
data("mum")
expect_equal(nrow(mum), 40)
expect_equal(ncol(mum), 3)
# rm(mum)
})
# NYC
test_that("NYC has 339 rows and 3 columns", {
data("nyc")
expect_equal(nrow(nyc), 339)
expect_equal(ncol(nyc), 3)
# rm(nyc)
})
# Nutrition
test_that("Nutrition has 340 rows and 4 columns", {
data("nutrition")
expect_equal(nrow(nutrition), 340)
expect_equal(ncol(nutrition), 4)
# rm(nutrition)
})
# Offer
test_that("Offer data has 36 rows and 3 columns", {
data("offer")
expect_equal(nrow(offer), 36)
expect_equal(ncol(offer), 3)
# rm(offer)
})
# Restaurant
test_that("Restaurant data has 40 rows and 3 columns", {
data("restaurant")
expect_equal(nrow(restaurant), 40)
expect_equal(ncol(restaurant), 3)
# rm(restaurant)
})
# Social
test_that("Social Media data has 500 rows and 3 columns", {
data("social")
expect_equal(nrow(social), 500)
expect_equal(ncol(social), 3)
# rm(social)
})
# Swimmers
test_that("Swimmers data has 16 rows and 2 columns", {
data("swim")
expect_equal(nrow(swim), 16)
expect_equal(ncol(swim), 2)
# rm(swim)
})
# powerLoad
test_that("powerLoad has 25 rows and 2 columns", {
data("powerLoad")
expect_equal(nrow(powerLoad), 25)
expect_equal(ncol(powerLoad), 2)
# rm(temp)
})
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