context("betweenness") test_that("usage", { set.seed(42) focal_tree <- ape::rphylo(n = 100, birth = 1, death = 0) a1_1 <- treestats::max_betweenness(focal_tree) # because treeCentrality is not available on CRAN, we precompute reference # values: a2_1 <- 12795 # max(treeCentrality::computeBetweenness(focal_tree)) #nolint testthat::expect_equal(a1_1, a2_1, tolerance = 0.01) if (requireNamespace("igraph")) { df <- as.data.frame(cbind(focal_tree$edge, weight = focal_tree$edge.length)) g <- igraph::graph_from_data_frame(df, directed = FALSE) ref_betweenness <- igraph::betweenness(g) testthat::expect_equal(a1_1, max(ref_betweenness), tolerance = 0.01) } ltab <- treestats::phylo_to_l(focal_tree) testthat::expect_equal(treestats::max_betweenness(focal_tree, ), treestats::max_betweenness(ltab)) focal_tree <- ape::rphylo(n = 100, birth = 1, death = 0.2, fossils = TRUE) a1_1 <- treestats::max_betweenness(focal_tree) # because treeCentrality is not available on CRAN, we precompute reference # values: a2_1 <- 20315 # max(treeCentrality::computeBetweenness(focal_tree)) #nolint if (requireNamespace("igraph")) { df <- as.data.frame(cbind(focal_tree$edge, weight = focal_tree$edge.length)) g <- igraph::graph_from_data_frame(df, directed = FALSE) ref_betweenness <- igraph::betweenness(g) testthat::expect_equal(a1_1, max(ref_betweenness), tolerance = 0.01) } testthat::expect_equal(a1_1, a2_1, tolerance = 0.01) ltab <- treestats::phylo_to_l(focal_tree) testthat::expect_equal(treestats::max_betweenness(focal_tree), treestats::max_betweenness(ltab)) }) test_that("normalization", { if (requireNamespace("igraph")) { set.seed(42) focal_tree <- ape::rphylo(n = 30, birth = 1, death = 0) a1_1 <- treestats::max_betweenness(focal_tree, normalization = "tips") df <- as.data.frame(cbind(focal_tree$edge, weight = focal_tree$edge.length)) g <- igraph::graph_from_data_frame(df, directed = FALSE) ref_betweenness <- igraph::betweenness(g, normalized = TRUE) testthat::expect_equal(a1_1, max(ref_betweenness), tolerance = 0.01) ltab <- treestats::phylo_to_l(focal_tree) a1_2 <- treestats::max_betweenness(ltab, normalization = "tips") testthat::expect_equal(a1_2, max(ref_betweenness), tolerance = 0.01) } }) test_that("wrong_object", { testthat::expect_error( treestats::max_betweenness(10), "input object has to be phylo or ltable" ) testthat::expect_error( treestats::max_betweenness(list()), "input object has to be phylo or ltable" ) })