tests/testthat/test-oneway_anova_nonparametric.R

skip_if_not_installed("boot")

# between-subjects ----------------------------------------------

test_that(
  desc = "between-subjects",
  code = {
    # without NA
    set.seed(123)
    df1 <- oneway_anova(
      type = "np",
      data = sample_frac(movies_long, 0.1),
      x = genre,
      y = length,
      paired = FALSE
    )

    set.seed(123)
    expect_snapshot(select(df1, -expression))
    expect_snapshot(df1[["expression"]])

    # with NA
    set.seed(123)
    df2 <- suppressWarnings(oneway_anova(
      type = "np",
      data = msleep,
      x = vore,
      y = sleep_total,
      paired = FALSE,
      conf.level = 0.99
    ))

    set.seed(123)
    expect_snapshot(select(df2, -expression))
    expect_snapshot(df2[["expression"]])
  }
)

# wthin-subjects ----------------------------------------------

test_that(
  desc = "within-subjects",
  code = {
    #  with NAs
    set.seed(123)
    df1 <- oneway_anova(
      type = "np",
      data = bugs_long,
      x = condition,
      y = desire,
      paired = TRUE,
      conf.level = 0.99
    )

    set.seed(123)
    expect_snapshot(select(df1, -expression))
    expect_snapshot(df1[["expression"]])

    # without NAs
    set.seed(123)
    df2 <- oneway_anova(
      type = "np",
      data = iris_long,
      x = condition,
      y = value,
      paired = TRUE,
      conf.level = 0.90
    )

    set.seed(123)
    expect_snapshot(select(df2, -expression))
    expect_snapshot(df2[["expression"]])
  }
)

test_that(
  desc = "works with subject id",
  code = {
    set.seed(123)
    expr1 <- oneway_anova(
      type = "np",
      data = data_with_subid,
      x = condition,
      y = score,
      subject.id = id,
      paired = TRUE
    )

    set.seed(123)
    expr2 <- oneway_anova(
      type = "np",
      data = arrange(data_with_subid, id),
      x = condition,
      y = score,
      paired = TRUE
    )

    expect_equal(expr1, expr2, ignore_attr = TRUE)
  }
)

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statsExpressions documentation built on Sept. 12, 2023, 5:07 p.m.