revdep/checks.noindex/insight/new/insight.Rcheck/tests/testthat/test-aovlist.R

In gbm-developers/gbm: Generalized Boosted Regression Models

if (require("testthat") &&
  require("insight") &&
  require("stats")) {
  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)(.2), .2, tolerance = 1e-5)
    expect_equal(link_inverse(m2)(.2), .2, tolerance = 1e-5)
  })

  test_that("get_data", {
    expect_equal(nrow(get_data(m1)), 24)
    expect_equal(nrow(get_data(m2)), 24)
    expect_equal(colnames(get_data(m1)), c("yield", "N", "P", "K", "block"))
    expect_equal(colnames(get_data(m2)), 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)"))
    )
    expect_length(find_formula(m2), 1)
    expect_equal(
      find_formula(m2),
      list(conditional = as.formula("yield ~ N * P * K"))
    )
  })

  test_that("find_terms", {
    expect_equal(find_terms(m1), list(
      response = "yield",
      conditional = c("N", "P", "K", "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")
  })
}