Nothing
context("inv_branch_dist")
test_that("usage", {
# let's create an artifical tree for which we know the values
set.seed(42)
focal_tree <- ape::rphylo(n = 3, 1, 0)
focal_tree <- stats::reorder(focal_tree)
focal_tree$edge.length <- c(0.5, 1, 1, 1.5)
expected_vals <- c(1 + 1 / 0.5, 1 + 1 / 0.5, 1 / 1.5)
inv_dist <- treestats::inv_branch_dist(focal_tree, add_one = FALSE)
testthat::expect_equal(as.vector(inv_dist), expected_vals)
ltab <- treestats::phylo_to_l(focal_tree)
inv_dist_ltab <- treestats::inv_branch_dist(ltab, add_one = FALSE)
testthat::expect_equal(sum(as.vector(inv_dist_ltab)), sum(expected_vals))
# now we add one
expected_vals <- c(1 / (1 + 1) + 1 / 1.5, 1 / (1 + 1) + 1 / 1.5, 1 / 2.5)
inv_dist <- treestats::inv_branch_dist(focal_tree, add_one = TRUE)
testthat::expect_equal(as.vector(inv_dist), expected_vals)
})
test_that("polytomies", {
local_stat <- max(treestats::inv_branch_dist(poly_trees[[3]]))
testthat::expect_true(!is.na(local_stat))
})
test_that("wrong_object", {
testthat::expect_error(
treestats::inv_branch_dist(10),
"input object has to be phylo or ltable"
)
testthat::expect_error(
treestats::inv_branch_dist(list()),
"input object has to be phylo or ltable"
)
})
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