
library(testthat)

source("user_code.R")
test_that("returns 'Child' for ages less than 13", {
  expect_equal(categorize_age(0), "Child")
  expect_equal(categorize_age(5), "Child")
  expect_equal(categorize_age(12), "Child")
})

test_that("returns 'Teenager' for ages between 13 and 19 inclusive", {
  expect_equal(categorize_age(13), "Teenager")
  expect_equal(categorize_age(15), "Teenager")
  expect_equal(categorize_age(19), "Teenager")
})

test_that("returns 'Adult' for ages between 20 and 64 inclusive", {
  expect_equal(categorize_age(20), "Adult")
  expect_equal(categorize_age(40), "Adult")
  expect_equal(categorize_age(64), "Adult")
})

test_that("returns 'Senior' for ages 65 and above", {
  expect_equal(categorize_age(65), "Senior")
  expect_equal(categorize_age(80), "Senior")
  expect_equal(categorize_age(100), "Senior")
})

test_main.R

Master the essentials of control flow in R, including conditional statements, loops, and the powerful apply family of functions. This course is designed for beginners and will guide you through practical, real-world examples to help you write efficient and readable R code.

Learn how to control the flow of your R programs using conditional statements, including if, else, else if, and how to apply logic to vectors.

Master the use of loops in R, including for, while, and repeat, and learn how to optimize your code for efficiency.

Unlock the power of R's apply family functions to perform operations on data structures efficiently and elegantly.

Challenge: Age Group Categorizer

解答