context("dominance") library(igraph) library(magrittr) library(Matrix) test_that("neighborhood-inclusion is correct", { data("dbces11") A <- matrix(0, 11, 11) rownames(A) <- colnames(A) <- LETTERS[1:11] A[c(23, 35, 45, 47, 56, 67, 79, 111, 113)] <- 1 expect_equal(neighborhood_inclusion(dbces11, sparse = FALSE), A) #### tg <- threshold_graph(10, 0) V(tg)$name <- LETTERS[1:10] A <- matrix(1, 10, 10) rownames(A) <- colnames(A) <- LETTERS[1:10] diag(A) <- 0 A[10, ] <- 0 expect_equal(neighborhood_inclusion(tg, sparse = FALSE), A) }) test_that("positional dominance is correct", { g <- graph.empty(n = 11, directed = FALSE) g <- add_edges(g, c( 1, 11, 2, 4, 3, 5, 3, 11, 4, 8, 5, 9, 5, 11, 6, 7, 6, 8, 6, 10, 6, 11, 7, 9, 7, 10, 7, 11, 8, 9, 8, 10, 9, 10 )) D <- g %>% indirect_relations() %>% positional_dominance(map = FALSE, benefit = FALSE) Dmap <- g %>% indirect_relations() %>% positional_dominance(map = TRUE, benefit = FALSE) A <- matrix(0, 11, 11) A[c(23, 35, 45, 47, 56, 67, 79, 111, 113)] <- 1 Amap <- matrix(0, 11, 11) Amap[c( 2, 23, 24, 34, 35, 45, 46, 47, 48, 56, 57, 58, 59, 60, 62, 63, 64, 65, 67, 68, 69, 70, 71, 78, 79, 80, 81, 82, 84, 86, 87, 89, 90, 91, 92, 93, 95, 96, 98, 100, 101, 102, 103, 111, 112, 113, 114, 115, 117 )] <- 1 expect_equal(D, A) expect_equal(Dmap, Amap) Data_mat <- matrix(c(10:1, 1:10), 10, 2) D <- positional_dominance(Data_mat, type = "two-mode") expect_equal(sum(abs(D)), 0) expect_error(positional_dominance("a")) }) test_that("dominance_graph is correct", { library(igraph) library(magrittr) g <- graph.empty(n = 11, directed = FALSE) g <- add_edges(g, c( 1, 11, 2, 4, 3, 5, 3, 11, 4, 8, 5, 9, 5, 11, 6, 7, 6, 8, 6, 10, 6, 11, 7, 9, 7, 10, 7, 11, 8, 9, 8, 10, 9, 10 )) P <- neighborhood_inclusion(g, sparse = FALSE) g_dom <- dominance_graph(P) expect_equal(sum(P), ecount(g_dom)) })