tests/testthat/test-basis_functions.R

In mrf2d: Markov Random Field Models for Image Analysis

test_that("fourier_2d", {
  expect_error(fourier_2d(max_freqs = 1, lattice_dim = c(3,4)))
  expect_error(fourier_2d(max_freqs = c(-1,4), lattice_dim = c(5,5)))
  expect_error(fourier_2d(max_freqs = c(1,4), lattice_dim = c(15,15,2)))
  expect_is(fourier_2d(max_freqs = c(2,2), lattice_dim = c(10,10)), "list")
  expect_is(fourier_2d(max_freqs = c(2,2), lattice_dim = c(10,10))[[1]], "function")
})

test_that("polynomial_2d", {
  expect_error(polynomial_2d(poly_deg = 1, lattice_dim = c(3,4)))
  expect_error(polynomial_2d(poly_deg = c(-1,4), lattice_dim = c(5,5)))
  expect_error(polynomial_2d(poly_deg = c(1,4), lattice_dim = c(15,15,2)))
  expect_is(polynomial_2d(poly_deg = c(2,2), lattice_dim = c(10,10)), "list")
  expect_is(polynomial_2d(poly_deg = c(2,2), lattice_dim = c(10,10))[[1]], "function")
})

test_that("basis function list to data.frame conversion", {
  fouri <- fourier_2d(max_freqs = c(2,2), lattice_dim = c(10,10))
  polyn <- polynomial_2d(poly_deg = c(2,2), lattice_dim = c(10,10))
  expect_is(basis_function_df(fouri, N = 10, M = 10), "data.frame")
  expect_is(basis_function_df(polyn, N = 10, M = 10), "data.frame")
})