Nothing
#* @testing seq_anova
test_that("Compare ttest with anova results (two groups)", {
# load packages
# library(testthis)
# library(dplyr)
# skip the tests in special situations
skip_on_cran() # skip on CRAN checks: necessary!
# skip_on_ci() # skip on continuous platforms like GitHub Actions
# skip("seq_anova simulation: not written yet") # skip test
# test setup: simulate the data
testthat::source_dir(
"testdata-raw/",
pattern = "simulation_anova\\.[rR]$",
env = test_env(),
chdir = TRUE,
wrap = TRUE
)
results_anova_simulation <- testthis::read_testdata("results_anova_simulation")
# test calculation anova function vs martins implementation
expect_equal(
results_anova_simulation$likelihood_ratio_anova,
results_anova_simulation$likelihood_ratio
)
expect_equal(
results_anova_simulation$decision_anova,
results_anova_simulation$decision
)
# test data reduction: seq_anova must be more efficient than fixed anova
# expect less than
expect_lte(
mean(results_anova_simulation$sample_size_seq) /
mean(results_anova_simulation$sample_size_fixed),
1
)
# at least in 50% of the cases the seq_anova is more efficient
percent_smaller_samples <- mean(results_anova_simulation$sample_smaller)
expect_gte(percent_smaller_samples, 0.50)
})
test_that("seq_anova: snapshots", {
# 3.ed edition necessary for expect_snapshot
testthat::local_edition(3)
set.seed(4657)
data <- draw_sample_normal(4, 0.4, 20, sd = c(1,2,3,4), sample_ratio = c(1,2,1,3))
expect_snapshot(
seq_anova(y~x, f = 0.40, data = data)
)
df_age <- draw_sample_normal(4, 0.4, 20, sd = c(1,2,3,4), sample_ratio = c(1,2,1,3))
colnames(df_age) <- c("age", "sex")
expect_snapshot(
seq_anova(age~sex, f = 0.40, data = df_age)
)
})
test_that("seq_anova: ttest vs anova", {
# 3.ed edition necessary for expect_snapshot
testthat::local_edition(3)
set.seed(4657)
data <- draw_sample_normal(2, 0.4, 20)
results_anova <- seq_anova(y~x, f = 0.40, data = data)
results_ttest <- seq_ttest(y~x, d = 0.80, data = data)
expect_equal(results_anova@likelihood_ratio, results_ttest@likelihood_ratio)
expect_equal(results_anova@likelihood_ratio_log, results_ttest@likelihood_ratio_log)
expect_equal(results_anova@decision, results_ttest@decision)
expect_equal(results_anova@A_boundary_log, results_ttest@A_boundary_log)
})
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