Nothing
test_that("calc_effect_sizes", {
# 3.ed edition necessary for expect_snapshot
testthat::local_edition(3)
set.seed(333)
expect_error(
effect_sizes(NULL, 1:10),
"formula"
)
expect_error(
effect_sizes(x~k, NULL),
"data"
)
formula <- y ~ x
df_no_effect <- draw_sample_normal(k_groups = 4, f = 0, max_n = 20)
df_0.01_effect <- draw_sample_normal(k_groups = 4, f = 0.01, max_n = 500)
df_0.10_effect <- draw_sample_normal(k_groups = 4, f = 0.10, max_n = 200)
df_0.25_effect <- draw_sample_normal(k_groups = 3, f = 0.25, max_n = 50)
df_0.40_effect <- draw_sample_normal(k_groups = 5, f = 0.40, max_n = 10)
df_2_effect <- draw_sample_normal(k_groups = 2, f = 2, max_n = 10)
expect_equal(ignore_attr = TRUE,
effect_sizes(formula, df_no_effect)$cohens_f,
effectsize::cohens_f(verbose = FALSE,
lm(formula, df_no_effect))$Cohens_f
)
expect_equal(ignore_attr = TRUE,
effect_sizes(formula, df_0.01_effect)$cohens_f,
effectsize::cohens_f(verbose = FALSE,
lm(formula, df_0.01_effect))$Cohens_f
)
expect_equal(ignore_attr = TRUE,
effect_sizes(formula, df_0.10_effect)$cohens_f,
effectsize::cohens_f(verbose = FALSE,
lm(formula, df_0.10_effect))$Cohens_f
)
expect_equal(ignore_attr = TRUE,
effect_sizes(formula, df_0.25_effect)$cohens_f,
effectsize::cohens_f(verbose = FALSE,
lm(formula, df_0.25_effect))$Cohens_f
)
expect_equal(ignore_attr = TRUE,
effect_sizes(formula, df_0.40_effect)$cohens_f,
effectsize::cohens_f(verbose = FALSE,
lm(formula, df_0.40_effect))$Cohens_f
)
expect_equal(ignore_attr = TRUE,
effect_sizes(formula, df_2_effect)$cohens_f,
effectsize::cohens_f(verbose = FALSE,
lm(formula, df_2_effect))$Cohens_f
)
})
test_that("snaphot: effect_size", {
# 3.ed edition necessary for expect_snapshot
testthat::local_edition(3)
set.seed(333)
df_no_effect <- draw_sample_normal(k_groups = 4, f = 0, max_n = 2000)
df_no_effect_extreme <- draw_sample_normal(k_groups = 4, f = 0, max_n = 20000)
df_0.01_effect <- draw_sample_normal(k_groups = 4, f = 0.01, max_n = 500)
df_0.10_effect <- draw_sample_normal(k_groups = 4, f = 0.10, max_n = 200)
df_0.25_effect <- draw_sample_normal(k_groups = 3, f = 0.25, max_n = 50)
df_0.40_effect <- draw_sample_normal(k_groups = 5, f = 0.40, max_n = 10)
df_2_effect <- draw_sample_normal(k_groups = 2, f = 2, max_n = 10)
formula <- "y ~ x"
expect_snapshot(effect_sizes(formula, df_no_effect))
expect_snapshot(effect_sizes(formula, df_no_effect_extreme))
expect_snapshot(seq_anova(formula, 1, data = df_no_effect_extreme))
expect_snapshot(seq_anova(formula, 0.01, data = df_0.01_effect))
expect_snapshot(effect_sizes(formula, df_0.01_effect))
expect_snapshot(effect_sizes(formula, df_0.10_effect))
expect_snapshot(effect_sizes(formula, df_0.25_effect))
expect_snapshot(effect_sizes(formula, df_0.40_effect))
expect_snapshot(effect_sizes(formula, df_2_effect))
formula <- y ~ x
expect_snapshot(effect_sizes(formula, df_no_effect))
expect_snapshot(effect_sizes(formula, df_0.01_effect))
expect_snapshot(effect_sizes(formula, df_0.10_effect))
expect_snapshot(effect_sizes(formula, df_0.25_effect))
expect_snapshot(effect_sizes(formula, df_0.40_effect))
expect_snapshot(effect_sizes(formula, df_2_effect))
set.seed(7)
df_no_effect <- draw_sample_normal(k_groups = 4, f = 0, max_n = 2000,
sd = c(1,2,4,4),
sample_ratio = c(1,2,1,2))
# effect_sizes(formula, df_no_effect)$eta
results <- seq_anova(formula, 0.10, data = df_no_effect)
expect_equal(results@effect_sizes$ci_ncp_upper, 0)
})
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