
library(testthat)

source("user_code.R")
test_that("returns correct sums for numeric vectors", {
  test_list <- list(c(1, 2, 3), c(10, 20), c(5))
  result <- sum_each_vector(test_list)
  expect_equal(result, c(6, 30, 5),
               info = "Should return sums 6, 30, 5 for the input list.")
})

test_that("handles vectors of different lengths", {
  test_list <- list(c(1, 2), c(10, 20, 30, 40), c(0))
  result <- sum_each_vector(test_list)
  expect_equal(result, c(3, 100, 0),
               info = "Should correctly sum vectors of varying lengths.")
})

test_that("handles negative numbers and zeros", {
  test_list <- list(c(-5, 5), c(0, 0, 0), c(-1, -2, -3))
  result <- sum_each_vector(test_list)
  expect_equal(result, c(0, 0, -6),
               info = "Should correctly sum vectors with negatives and zeros.")
})

test_that("returns a numeric vector, not a list", {
  test_list <- list(c(2, 2), c(3, 3))
  result <- sum_each_vector(test_list)
  expect_true(is.numeric(result) && !is.list(result),
              info = "Output should be a numeric vector, not a list.")
})

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: Apply Function Selector

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