tests/testthat/test-aovlist.R

In insight: Easy Access to Model Information for Various Model Objects

data(npk)
m1 <- aov(yield ~ N * P * K + Error(block), data = npk)
m2 <- aov(yield ~ N * P * K, data = npk)

test_that("model_info", {
  expect_true(model_info(m1)$is_linear)
  expect_true(model_info(m1)$is_anova)
  expect_true(model_info(m2)$is_linear)
  expect_true(model_info(m2)$is_anova)
})

test_that("find_predictors", {
  expect_identical(find_predictors(m1), list(conditional = c("N", "P", "K", "block")))
  expect_identical(find_predictors(m2), list(conditional = c("N", "P", "K")))
  expect_null(find_predictors(m1, effects = "random"))
})

test_that("find_random", {
  expect_null(find_random(m1))
})

test_that("get_random", {
  expect_warning(get_random(m1))
})

test_that("find_response", {
  expect_identical(find_response(m1), "yield")
  expect_identical(find_response(m2), "yield")
})

test_that("get_response", {
  expect_equal(get_response(m1), npk$yield)
  expect_equal(get_response(m2), npk$yield)
})

test_that("get_predictors", {
  expect_equal(colnames(get_predictors(m1)), c("N", "P", "K", "block"))
  expect_equal(colnames(get_predictors(m2)), c("N", "P", "K"))
})

test_that("link_inverse", {
  expect_equal(link_inverse(m1)(0.2), 0.2, tolerance = 1e-5)
  expect_equal(link_inverse(m2)(0.2), 0.2, tolerance = 1e-5)
})

test_that("get_data", {
  expect_equal(nrow(get_data(m1, verbose = FALSE)), 24)
  expect_equal(nrow(get_data(m2, verbose = FALSE)), 24)
  expect_equal(colnames(get_data(m1, verbose = FALSE)), c("yield", "N", "P", "K", "block"))
  expect_equal(colnames(get_data(m2, verbose = FALSE)), c("yield", "N", "P", "K"))
})

test_that("find_formula", {
  expect_length(find_formula(m1), 1)
  expect_equal(
    find_formula(m1),
    list(conditional = as.formula("yield ~ N * P * K + Error(block)")),
    ignore_attr = TRUE
  )
  expect_length(find_formula(m2), 1)
  expect_equal(
    find_formula(m2),
    list(conditional = as.formula("yield ~ N * P * K")),
    ignore_attr = TRUE
  )
})

test_that("find_terms", {
  expect_equal(find_terms(m1), list(
    response = "yield",
    conditional = c("N", "P", "K"),
    error = "Error(block)"
  ))
  expect_equal(
    find_terms(m1, flatten = TRUE),
    c("yield", "N", "P", "K", "Error(block)")
  )
  expect_equal(find_terms(m2), list(
    response = "yield",
    conditional = c("N", "P", "K")
  ))
  expect_equal(find_terms(m2, flatten = TRUE), c("yield", "N", "P", "K"))
})

test_that("n_obs", {
  expect_equal(n_obs(m1), 24)
  expect_equal(n_obs(m2), 24)
})

test_that("linkfun", {
  expect_false(is.null(link_function(m1)))
  expect_false(is.null(link_function(m2)))
})

test_that("find_parameters", {
  expect_equal(
    find_parameters(m1),
    list(conditional = c("(Intercept)", "N1:P1:K1", "N1", "P1", "K1", "N1:P1", "N1:K1", "P1:K1"))
  )

  expect_equal(ncol(get_parameters(m1)), 3)
  expect_equal(nrow(get_parameters(m1, effects = "all")), 8)

  expect_equal(
    get_parameters(m1, effects = "all")$Group,
    c("(Intercept)", "block", "Within", "Within", "Within", "Within", "Within", "Within")
  )

  expect_equal(
    find_parameters(m2),
    list(
      conditional = c(
        "(Intercept)",
        "N1",
        "P1",
        "K1",
        "N1:P1",
        "N1:K1",
        "P1:K1",
        "N1:P1:K1"
      )
    )
  )
  expect_equal(nrow(get_parameters(m2)), 8)
})

test_that("is_multivariate", {
  expect_false(is_multivariate(m1))
  expect_false(is_multivariate(m2))
})

test_that("find_statistic", {
  expect_identical(find_statistic(m1), "F-statistic")
  expect_identical(find_statistic(m2), "F-statistic")
})