# Setup ------------------------------------------------------------------- expected_statistics <- read_stats("../data/pairwise_htest.json") # pairwise.t.test() ------------------------------------------------------- test_that("pairwise t-tests with pooled SD works", { Month <- factor(airquality$Month, labels = month.abb[5:9]) model <- pairwise.t.test(airquality$Ozone, Month) expect_equal_models( model = model, expected_tidy_model = expected_statistics$pairwise_t_test ) }) test_that("Pairwise t tests with non-pooled SD works", { Month <- factor(airquality$Month, labels = month.abb[5:9]) model <- pairwise.t.test( airquality$Ozone, Month, p.adjust.method = "bonf", pool.sd = FALSE ) expect_equal_models( model = model, expected_tidy_model = expected_statistics$pairwise_t_test_nonpooled ) }) test_that("pairwise paired t-tests works", { model <- pairwise.t.test( c(1, 2, 3, 1, 2, 4), c(1, 1, 2, 2, 3, 3), paired = TRUE ) expect_equal_models( model = model, expected_tidy_model = expected_statistics$pairwise_t_test_paired ) }) # pairwise.prop.test() ---------------------------------------------------- test_that("pairwise comparison of proportions works", { smokers <- c(83, 90, 129, 70) patients <- c(86, 93, 136, 82) model <- suppressWarnings(pairwise.prop.test(smokers, patients)) expect_equal_models( model = model, expected_tidy_model = expected_statistics$pairwise_prop_test ) }) # pairwise.wilcox.test() -------------------------------------------------- test_that("pairwise Wilcoxon rank sum exact test works", { model <- pairwise.wilcox.test( c(1, 2, 3, 4, 5, 6, 7, 8, 9, 11), c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2) ) expect_equal_models( model = model, expected_tidy_model = expected_statistics$pairwise_wilcox_test ) }) test_that("pairwise Wilcoxon signed rank exact test works", { model <- pairwise.wilcox.test( PlantGrowth$weight, PlantGrowth$group, p.adjust.method = "BH", paired = TRUE ) expect_equal_models( model = model, expected_tidy_model = expected_statistics$pairwise_wilcox_test_paired ) })