context("interplay with emmeans")

test_that("ANOVA functions work with emmeans, univariate & multivariate", {
  skip_if_not_installed("emmeans")
  data(sk2011.1)
  a1 <- aov_ez(
    "id",
    "response",
    sk2011.1,
    between = "instruction",
    within = c("inference", "plausibility"),
    fun_aggregate = mean,
    include_aov = TRUE
  )
  em1 <- emmeans::emmeans(a1, ~inference, model = "univariate")
  em2 <- emmeans::emmeans(a1, ~inference, model = "multivariate")
  expect_is(em1, "emmGrid")
  expect_is(em2, "emmGrid")
  expect_equal(
    as.data.frame(summary(em2))$emmean,
    as.data.frame(summary(em1))$emmean
  )
  expect_false(isTRUE(all.equal(
    as.data.frame(summary(em2))$SE,
    as.data.frame(summary(em1))$SE
  )))

  em1 <- emmeans::emmeans(a1, ~ inference * plausibility, model = "univariate")
  em2 <- emmeans::emmeans(
    a1,
    ~ inference * plausibility,
    model = "multivariate"
  )
  expect_is(em1, "emmGrid")
  expect_is(em2, "emmGrid")
  expect_equal(
    as.data.frame(summary(em2))$emmean,
    as.data.frame(summary(em1))$emmean
  )
  expect_false(isTRUE(all.equal(
    as.data.frame(summary(em2))$SE,
    as.data.frame(summary(em1))$SE
  )))

  a1b <- aov_ez(
    "id",
    "response",
    sk2011.1,
    between = "instruction",
    within = c("plausibility", "inference"),
    fun_aggregate = mean,
    include_aov = TRUE
  )
  em1 <- emmeans::emmeans(a1b, ~inference, model = "univariate")
  em2 <- emmeans::emmeans(a1b, ~inference, model = "multivariate")
  expect_is(em1, "emmGrid")
  expect_is(em2, "emmGrid")
  expect_equal(
    as.data.frame(summary(em2))$emmean,
    as.data.frame(summary(em1))$emmean
  )
  expect_false(isTRUE(all.equal(
    as.data.frame(summary(em2))$SE,
    as.data.frame(summary(em1))$SE
  )))

  a2 <- aov_ez(
    "id",
    "response",
    sk2011.1,
    between = "instruction",
    within = c("inference"),
    fun_aggregate = mean,
    include_aov = TRUE
  )
  em1 <- emmeans::emmeans(a2, ~inference, model = "univariate")
  em2 <- emmeans::emmeans(a2, ~inference, model = "multivariate")
  expect_is(em1, "emmGrid")
  expect_is(em2, "emmGrid")
  expect_equal(
    as.data.frame(summary(em2))$emmean,
    as.data.frame(summary(em1))$emmean
  )
  expect_false(isTRUE(all.equal(
    as.data.frame(summary(em2))$SE,
    as.data.frame(summary(em1))$SE
  )))

  a3 <- aov_ez(
    "id",
    "response",
    sk2011.1,
    within = c("inference"),
    fun_aggregate = mean,
    include_aov = TRUE
  )
  em1 <- emmeans::emmeans(a3, ~inference, model = "univariate")
  em2 <- emmeans::emmeans(a3, ~inference, model = "multivariate")
  expect_is(em1, "emmGrid")
  expect_is(em2, "emmGrid")
  expect_equal(
    as.data.frame(summary(em2))$emmean,
    as.data.frame(summary(em1))$emmean
  )
  expect_false(isTRUE(all.equal(
    as.data.frame(summary(em2))$SE,
    as.data.frame(summary(em1))$SE
  )))

  a4 <- aov_ez(
    "id",
    "response",
    sk2011.1,
    between = "instruction",
    fun_aggregate = mean,
    include_aov = TRUE
  )
  em1 <- emmeans::emmeans(a4, ~instruction, model = "univariate")
  em2 <- emmeans::emmeans(a4, ~instruction, model = "multivariate")
  expect_is(em1, "emmGrid")
  expect_is(em2, "emmGrid")
  expect_equal(
    as.data.frame(summary(em2))$emmean,
    as.data.frame(summary(em1))$emmean
  )
  expect_true(isTRUE(all.equal(
    as.data.frame(summary(em2))$SE,
    as.data.frame(summary(em1))$SE
  )))

  ####
  data("sk2011.2")
  ab1 <- aov_ez(
    "id",
    "response",
    sk2011.2,
    between = "instruction",
    within = c("what", "validity", "type"),
    fun_aggregate = mean,
    include_aov = TRUE
  )
  em1 <- emmeans::emmeans(ab1, ~ what * validity * type, model = "univariate")
  em2 <- emmeans::emmeans(ab1, ~ what * validity * type, model = "multivariate")
  expect_is(em1, "emmGrid")
  expect_is(em2, "emmGrid")
  expect_equal(
    as.data.frame(summary(em2))$emmean,
    as.data.frame(summary(em1))$emmean,
    tolerance = 0.1
  )
  expect_false(isTRUE(all.equal(
    as.data.frame(summary(em2))$SE,
    as.data.frame(summary(em1))$SE
  )))

  em1 <- emmeans::emmeans(ab1, ~ validity * what * type, model = "univariate")
  em2 <- emmeans::emmeans(ab1, ~ validity * what * type, model = "multivariate")
  expect_is(em1, "emmGrid")
  expect_is(em2, "emmGrid")
  expect_equal(
    as.data.frame(summary(em2))$emmean,
    as.data.frame(summary(em1))$emmean,
    tolerance = 0.1
  )
  expect_false(isTRUE(all.equal(
    as.data.frame(summary(em2))$SE,
    as.data.frame(summary(em1))$SE
  )))

  em1 <- emmeans::emmeans(ab1, ~type, model = "univariate")
  em2 <- emmeans::emmeans(ab1, ~type, model = "multivariate")
  expect_is(em1, "emmGrid")
  expect_is(em2, "emmGrid")
  expect_equal(
    as.data.frame(summary(em2))$emmean,
    as.data.frame(summary(em1))$emmean,
    tolerance = 0.1
  )
  expect_false(isTRUE(all.equal(
    as.data.frame(summary(em2))$SE,
    as.data.frame(summary(em1))$SE
  )))
})

test_that("ANCOVA with emmeans is correct for univariate & multivariate", {
  skip_if_not_installed("emmeans")
  data(sk2011.1)
  # a1 <- aov_ez("id", "value", obk.long, between = c("treatment", "gender"),
  #              within = c("phase", "hour"), covariate = "age",
  #              observed = c("gender", "age"), factorize = FALSE)
  # emmeans(a1, ~ phase, model = "multivariate")
  # emmeans(a1, ~ phase, model = "univariate")
  #
  # emmeans(a1, ~ treatment, model = "multivariate")
  # emmeans(a1, ~ treatment, model = "univariate")
  # deactivated, see: https://github.com/rvlenth/emmeans/issues/32

  a2 <- aov_ez(
    "id",
    "value",
    obk.long,
    between = c("treatment", "gender"),
    covariate = "age",
    fun_aggregate = mean,
    observed = c("gender", "age"),
    factorize = FALSE,
    include_aov = TRUE
  )

  em1 <- emmeans::emmeans(a2, ~treatment, model = "univariate")
  em2 <- emmeans::emmeans(a2, ~treatment, model = "multivariate")
  expect_equal(summary(em1)$emmean, summary(em2)$emmean)
})

test_that("mixed works with emmeans", {
  skip_if_not_installed("emmeans")
  skip_on_cran()
  data(sk2011.1)
  emmeans::emm_options(lmer.df = "asymptotic")
  m1 <- mixed(
    response ~ instruction * inference * plausibility + (1 | id),
    sk2011.1,
    progress = FALSE
  )
  expect_is(emmeans::emmeans(m1, ~inference), "emmGrid")
  m2 <- mixed(
    response ~ inference + (inference | id),
    sk2011.1,
    progress = FALSE
  )
  expect_is(emmeans::emmeans(m2, ~inference), "emmGrid")
  m3 <- mixed(
    response ~ instruction + (inference | id),
    sk2011.1,
    progress = FALSE
  )
  expect_is(emmeans::emmeans(m3, ~instruction), "emmGrid")
})

test_that("mixed works with type=2 and all methods", {
  skip_if_not_installed("emmeans")
  emmeans::emm_options(lmer.df = "asymptotic")
  ## in all tests, data needs to be passed because of nested evaluation.

  data("sk2011.2")
  sk2_aff <- droplevels(sk2011.2[sk2011.2$what == "affirmation", ])

  mixed_kr <- mixed(
    response ~ inference * type + (1 | id),
    sk2_aff,
    type = 2,
    method = "KR",
    progress = FALSE
  )
  expect_is(emmeans::emmeans(mixed_kr, specs = c("type")), "emmGrid")

  mixed_s <- mixed(
    response ~ inference * type + (1 | id),
    sk2_aff,
    type = 2,
    method = "S",
    progress = FALSE
  )
  expect_is(emmeans::emmeans(mixed_s, specs = c("type")), "emmGrid")

  mixed_lrt <- mixed(
    response ~ type + (1 | id),
    sk2_aff,
    type = 2,
    method = "LRT",
    progress = FALSE
  )
  expect_is(emmeans::emmeans(mixed_lrt, specs = c("type")), "emmGrid")

  mixed_pb <- suppressWarnings(mixed(
    response ~ type + (1 | id),
    sk2_aff,
    type = 2,
    method = "PB",
    progress = FALSE,
    args_test = list(nsim = 10)
  ))
  expect_is(emmeans::emmeans(mixed_pb, specs = c("type")), "emmGrid")

  mixed_oldkr <- mixed(
    response ~ type + (1 | id),
    sk2_aff,
    type = 2,
    method = "nested-KR",
    progress = FALSE
  )
  expect_is(emmeans::emmeans(mixed_oldkr, specs = c("type")), "emmGrid")
})

test_that("emmeans works with mixed and expand_er = TRUE", {
  skip_if_not_installed("emmeans")
  skip_if_not_installed("MEMSS")
  data("Machines", package = "MEMSS")
  m2 <- mixed(
    score ~ Machine + (Machine || Worker),
    data = Machines,
    expand_re = TRUE,
    progress = FALSE
  )
  t1 <- emmeans::emmeans(m2, "Machine", lmer.df = "asymptotic")
  t2 <- emmeans::emmeans(m2, "Machine", lmer.df = "Satterthwaite")
  t3 <- emmeans::emmeans(m2, "Machine", lmer.df = "kenward-roger")

  expect_is(t1, "emmGrid")
  expect_is(t2, "emmGrid")
  expect_is(t3, "emmGrid")

  expect_is(summary(t1), "data.frame")
  expect_is(summary(t2), "data.frame")
  expect_is(summary(t3), "data.frame")
})


test_that("emmeans with mixed & expand_re = TRUE with pre 3.0 lmerTest objects", {
  skip_if_not_installed("emmeans")
  skip_on_cran()
  load("m_machines_lmerTest-pre3.0.rda")
  # load("tests/testthat/m_machines_lmerTest-pre3.0.rda")
  t1 <- emmeans::emmeans(m_machines, "Machine", lmer.df = "asymptotic")
  t2 <- emmeans::emmeans(m_machines, "Machine", lmer.df = "Satterthwaite")
  t3 <- emmeans::emmeans(m_machines, "Machine", lmer.df = "kenward-roger")

  expect_is(t1, "emmGrid")
  expect_is(t2, "emmGrid")
  expect_is(t3, "emmGrid")

  expect_is(summary(t1), "data.frame")
  expect_is(summary(t2), "data.frame")
  expect_is(summary(t3), "data.frame")
})