Nothing
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)
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