tests/testthat/test_exact_rank_prob.R

context("probabilistic centrality")
library(igraph)
library(magrittr)
library(Matrix)
test_that("exact_rank_prob is correct", {
  P <- matrix(c(0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, rep(0, 10)), 5, 5, byrow = TRUE)
  res <- exact_rank_prob(P)
  exp_rank <- c(V1 = 4 / 3, V2 = 19 / 9, V3 = 26 / 9, V4 = 4 + 2 / 9, V5 = 4 + 4 / 9)

  expect_equal(res$lin.ext, 9)
  expect_equal(round(res$expected.rank, 6), round(exp_rank, 6))

  ####

  tg <- threshold_graph(20, 0.2)
  P <- neighborhood_inclusion(tg)
  expect_warning(exact_rank_prob(P))

  ####

  A <- matrix(1, 10, 10)
  diag(A) <- 0
  expect_error(exact_rank_prob(A))
})

test_that("ideal lattice is correct", {
  P <- matrix(c(0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, rep(0, 10)), 5, 5, byrow = TRUE)
  res <- exact_rank_prob(P, only.results = FALSE)
  rks <- get_rankings(res)
  expect_error(get_rankings())
  expect_equal(ncol(rks), 9)
  expect_equal(length(res$lattice), 11) # no of ideals
  expect_equal(length(unlist(res$lattice)), 15) # no of edges in ideal lattice
})

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netrankr documentation built on Sept. 27, 2022, 1:07 a.m.