tests/testthat/test-two-sample-bayes.R

test_that(desc = "bayesian (independent samples t-test)", code = {
  set.seed(123)
  df <- two_sample_test(
    type = "bayes",
    data = ToothGrowth,
    x = supp,
    y = len,
    paired = FALSE,
    conf.level = 0.99
  )

  expect_snapshot(df[["expression"]])
})

test_that(desc = "bayesian (paired t-test)", code = {
  dat_tidy <- dplyr::filter(bugs_long, condition %in% c("HDLF", "HDHF"))

  set.seed(123)
  df_results <- two_sample_test(
    type = "bayes",
    data = dat_tidy,
    x = "condition",
    y = desire,
    paired = TRUE,
    bf.prior = 0.8
  )

  expect_equal(df_results$bf10[[1]], 40.36079, tolerance = 0.001)

  set.seed(123)
  df <- two_sample_test(
    type = "bayes",
    data = dat_tidy,
    x = "condition",
    y = desire,
    paired = TRUE,
    bf.prior = 0.8
  )

  expect_snapshot(df[["expression"]])
})

test_that(desc = "works with subject id", code = {
  df <- filter(data_with_subid, condition %in% c(1, 5))

  set.seed(123)
  expr1 <- two_sample_test(
    type = "bayes",
    data = df,
    x = condition,
    y = score,
    subject.id = id,
    paired = TRUE
  )

  set.seed(123)
  expr2 <- two_sample_test(
    type = "bayes",
    data = arrange(df, id),
    x = condition,
    y = score,
    paired = TRUE
  )

  expect_identical(expr1, expr2)
})

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statsExpressions documentation built on Aug. 24, 2026, 5:13 p.m.