tests/testthat/test_4d_naive.R

In fasano.franceschini.test: Fasano-Franceschini Test: A Multidimensional Kolmogorov-Smirnov Two-Sample Test

test_that("compare with naive R 4d implementation", {
    set.seed(4)

    ffcomp <- function(S1, S2) {
        res <- fasano.franceschini.test(S1, S2, nPermute = 0)
        d12 <- c(getDstat_naive(S1, S1, S2), getDstat_naive(S2, S1, S2))
        names(d12) <- names(res$estimate)

        n1 <- as.numeric(dim(S1)[1])
        n2 <- as.numeric(dim(S2)[1])
        d <- n1 * n2 * (d12[1] + d12[2])
        names(d) <- names(res$statistic)

        expect_equal(d, res$statistic, tolerance = 1e-15)
    }

    S1 <- data.frame(rnorm(n = 70, mean = 1.4, sd = 0.3),
                     rnorm(n = 70, mean = 1.5, sd = 1),
                     rnorm(n = 70, mean = 1.6, sd = 1.8),
                     rnorm(n = 70, mean = 1.6, sd = 1.8))
    S2 <- data.frame(rnorm(n = 206, mean = 1.4, sd = 0.3),
                     rnorm(n = 206, mean = 1.5, sd = 1),
                     rnorm(n = 206, mean = 1.6, sd = 1.8),
                     rnorm(n = 206, mean = 2.2, sd = 0.01))
    ffcomp(S1, S2)
    ffcomp(S1, S1)
    ffcomp(S2, S2)

    S1 <- data.frame(rbeta(n = 102, shape1 = 1.3, shape2 = 2.73),
                     rgamma(n = 102, shape = 4.4, rate = 0.4),
                     rbeta(n = 102, shape1 = 1.2, shape2 = 0.11),
                     rbeta(n = 102, shape1 = 2.1, shape2 = 1.39))
    S2 <- data.frame(rbeta(n = 65, shape1 = 1.3, shape2 = 2.73),
                     rbeta(n = 65, shape1 = 1.2, shape2 = 0.11),
                     rbeta(n = 65, shape1 = 2.1, shape2 = 1.39),
                     rexp(n = 65, rate = 33.3))
    ffcomp(S1, S2)
    ffcomp(S1, S1)
    ffcomp(S2, S2)

    S1 <- data.frame(rbeta(n = 400, shape1 = 1.3, shape2 = 2.73),
                     rbeta(n = 400, shape1 = 1.2, shape2 = 0.11),
                     rbeta(n = 400, shape1 = 2.1, shape2 = 1.39),
                     rgamma(n = 400, shape = 0.9, rate = 3.01))
    S2 <- data.frame(rbeta(n = 761, shape1 = 1.3, shape2 = 2.73),
                     rbeta(n = 761, shape1 = 1.2, shape2 = 0.11),
                     rbeta(n = 761, shape1 = 0.2, shape2 = 1.39),
                     rbeta(n = 761, shape1 = 0.2, shape2 = 1.39))
    ffcomp(S1, S2)
    ffcomp(S1, S1)
    ffcomp(S2, S2)

    S1 <- data.frame(rnorm(n = 50), rnorm(n = 50), rnorm(n = 50), rnorm(n = 50))
    S2 <- data.frame(rnorm(n = 33), rnorm(n = 33), rnorm(n = 33), rnorm(n = 33))
    ffcomp(S1, S2)
    ffcomp(S1, S1)
    ffcomp(S2, S2)

    S1 <- cbind(c(1, 1), c(1, 1), c(1, 1), c(1, 1))
    S2 <- cbind(c(1, 1), c(1, 1), c(1, 1), c(1, 1))
    ffcomp(S1, S2)
    ffcomp(S1, S1)
    ffcomp(S2, S2)
})