Nothing
test_that("Random trees are set by R seed", {
set.seed(0)
tr1 <- RandomTree(123)
tr2 <- RandomTree(123)
set.seed(0)
tr3 <- RandomTree(123)
tr4 <- RandomTree(123)
expect_identical(tr1, tr3)
expect_identical(tr2, tr4)
expect_false(identical(tr1, tr2))
set.seed(1)
tr5 <- RandomTree(123)
set.seed(1)
tr6 <- RandomTree(123)
expect_identical(tr5, tr6)
expect_false(identical(tr1, tr5))
})
test_that("Random trees drawn from uniform distribution", {
# NB We're also testing sapply64 and vapply64 in this chunk
expect_error(.RandomParent(1))
expect_error(.RandomParent(0))
expect_error(.RandomParent(-1))
nSamples <- 100
# Ape's trees are not uniformly distributed:
ape_counts <- table(vapply64(lapply(rep(5, nSamples), ape::rtree),
as.TreeNumber, 1))
expect_lt(chisq.test(ape_counts)$p.value, 0.005)
# Our trees are:
counts <- table(sapply64(lapply(rep(5, nSamples), RandomTree), as.TreeNumber))
expect_gt(chisq.test(counts)$p.value, 0.001)
if (FALSE) { # Takes many seconds - but worth checking manually?
counts <- table(sapply64(lapply(rep(8, 200000), RandomTree), as.TreeNumber))
expect_gt(chisq.test(counts)$p.value, 0.001)
}
expect_false(is.rooted(RandomTree(6, root = FALSE)))
expect_true(is.rooted(RandomTree(6, root = TRUE)))
})
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