testWasserstein <- function(n.iter) { if(requireNamespace("Ecume", quietly = TRUE)) { for(i in 1:n.iter) { X1 <- mvtnorm::rmvnorm(100, sigma = matrix(0.2, 10, 10) + diag(0.8, 10, 10), mean = runif(10, -2, 2)) X2 <- mvtnorm::rmvnorm(100, mean = runif(10, -2, 2), sigma = matrix(0.5, 10, 10) + diag(0.5, 10, 10)) set.seed(i) res.wasserstein_permut <- Ecume::wasserstein_permut(X1, X2, iterations = 10) res.Wasserstein <- DataSimilarity::Wasserstein(X1, as.data.frame(X2), n.perm = 0, seed = i) res.Wasserstein.perm <- DataSimilarity::Wasserstein(X1, as.data.frame(X2), n.perm = 10, seed = i) testthat::test_that("output type", { # check length and names of output testthat::expect_length(res.Wasserstein, 5) testthat::expect_named(res.Wasserstein, c("statistic", "p.value", "alternative", "method", "data.name")) testthat::expect_length(res.Wasserstein.perm, 5) testthat::expect_named(res.Wasserstein.perm, c("statistic", "p.value", "alternative", "method", "data.name")) # check p values in [0,1] testthat::expect_lte(res.Wasserstein.perm$p.value, 1) testthat::expect_gte(res.Wasserstein.perm$p.value, 0) # statistic is not NA testthat::expect_false(is.na(res.Wasserstein$statistic)) testthat::expect_false(is.na(res.Wasserstein.perm$statistic)) # output should be numeric testthat::expect_s3_class(res.Wasserstein, "htest") testthat::expect_s3_class(res.Wasserstein.perm, "htest") }) testthat::test_that("output values", { # check test statistic values testthat::expect_equal(res.Wasserstein$statistic, res.wasserstein_permut$statistic, check.attributes = FALSE) testthat::expect_equal(res.Wasserstein.perm$statistic, res.wasserstein_permut$statistic, check.attributes = FALSE) # check test p values testthat::expect_equal(res.Wasserstein.perm$p.value, res.wasserstein_permut$p.value, check.attributes = FALSE) }) res.Wasserstein.1 <- DataSimilarity::Wasserstein(X1[, 1, drop = FALSE], as.data.frame(X2)[, 1, drop = FALSE], n.perm = 0, seed = i) res.Wasserstein.perm.1 <- DataSimilarity::Wasserstein(X1[, 1, drop = FALSE], as.data.frame(X2)[, 1, drop = FALSE], n.perm = 10, seed = i) testthat::test_that("output type", { # check length and names of output testthat::expect_length(res.Wasserstein.1, 5) testthat::expect_named(res.Wasserstein.1, c("statistic", "p.value", "alternative", "method", "data.name")) testthat::expect_length(res.Wasserstein.perm.1, 5) testthat::expect_named(res.Wasserstein.perm.1, c("statistic", "p.value", "alternative", "method", "data.name")) # check p values in [0,1] testthat::expect_lte(res.Wasserstein.perm.1$p.value, 1) testthat::expect_gte(res.Wasserstein.perm.1$p.value, 0) # statistic is not NA testthat::expect_false(is.na(res.Wasserstein.1$statistic)) testthat::expect_false(is.na(res.Wasserstein.perm.1$statistic)) # output should be numeric testthat::expect_s3_class(res.Wasserstein.1, "htest") testthat::expect_s3_class(res.Wasserstein.perm.1, "htest") }) } } } set.seed(0305) testWasserstein(10)