AMR/tests/testthat/test-g.test.R

context("g.test.R")

test_that("G-test works", {

  # GOODNESS-OF-FIT

  # example 1: clearfield rice vs. red rice
  x <- c(772, 1611, 737)
  expect_equal(g.test(x, p = c(0.25, 0.50, 0.25))$p.value,
               expected = 0.12574,
               tolerance = 0.00001)

  # example 2: red crossbills
  x <- c(1752, 1895)
  expect_equal(g.test(x)$p.value,
               expected = 0.01787343,
               tolerance = 0.00000001)

  expect_error(g.test(0))
  expect_error(g.test(c(0, 1), 0))
  expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25)))
  expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24)))
  expect_warning(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24), rescale.p = TRUE))

  # INDEPENDENCE

  x <- as.data.frame(
    matrix(data = round(runif(4) * 100000, 0),
           ncol = 2,

           byrow = TRUE)
  )
  expect_lt(g.test(x)$p.value,
            1)

  expect_warning(g.test(x = c(772, 1611, 737),
                        y = c(780, 1560, 780),
                        rescale.p = TRUE))

  expect_error(g.test(matrix(data = c(-1, -2, -3 , -4), ncol = 2, byrow = TRUE)))
  expect_error(g.test(matrix(data = c(0, 0, 0, 0), ncol = 2, byrow = TRUE)))

})