tests/testthat/test-subset.R

# A unit test for subset function
if (require(testthat)) {
  mtsobj <- ts(matrix(rnorm(200), ncol = 2), frequency = 4)
  test_that("tests specifying correct argument", {
    sub <- subset(wineind, month = "September")
    expect_length(sub, tsp(sub)[2] - tsp(sub)[1] + 1)
    expect_identical(round(sum(sub)), 338985)
    sub2 <- subset(wineind, month = "SEPT")
    expect_identical(sub, sub2)
    sub2 <- subset(wineind, month = 9)
    expect_identical(sub, sub2)
    sub2 <- subset(wineind, season = 9)
    expect_identical(sub, sub2)
    sub <- subset(woolyrnq, quarter = 1)
    expect_length(sub,tsp(sub)[2] - tsp(sub)[1] + 1)
    expect_identical(sum(sub), 153142)
    sub2 <- subset(woolyrnq, season = 1)
    expect_identical(sub, sub2)
    sub <- subset(wineind, subset = wineind < 25000)
    expect_identical(round(sum(sub)), 1948985)
    expect_length(sub,91)
    sub <- subset(mtsobj, c(1, 1, rep(0, 98)) == 1)
    expect_identical(ncol(sub), 2L)
    expect_identical(nrow(sub), 2L)
    sub <- subset(mtsobj, quarter = 1)
    expect_identical(ncol(sub), 2L)
    expect_identical(nrow(sub), 25L)
  })

  test_that("tests specifying wrong argument", {
    expect_error(subset(wineind, quarter = 1), "Data is not quarterly")
    expect_error(subset(woolyrnq, month = "January"), "Data is not monthly")
  })

  test_that("test for bad input", {
    expect_error(subset.ts(mtcars, quarter = 1), "Data must be seasonal")
    expect_error(subset(wineind, subset = c(1, 2)), "subset must be the same length as x")
    expect_error(subset(mtsobj, mtsobj < .5), "subset must be a vector of rows to keep")
    expect_error(subset(wineind, month = "Jaan"), "No recognizable months")
    expect_error(subset(wineind, season = 1:14), "Seasons must be between 1 and 12")
    expect_error(subset(wineind, month = 1:14), "Months must be between 1 and 12")
    expect_error(subset(woolyrnq, quarter = "qq1"), "No recognizable quarters")
    expect_error(subset(woolyrnq, quarter = 1:6), "Quarters must be between 1 and 4")
  })
}

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forecast documentation built on June 22, 2024, 9:20 a.m.