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context("cluster_walktrap")
test_that("cluster_walktrap works", {
library(igraph)
g <- make_graph("Zachary")
set.seed(42)
wc <- cluster_walktrap(g)
expect_that(modularity(g, membership(wc)), equals(modularity(wc)))
expect_that(as.vector(membership(wc)),
equals(c(1, 1, 2, 1, 5, 5, 5, 1, 2, 2,
5, 1, 1, 2, 3, 3, 5, 1, 3, 1,
3, 1, 3, 4, 4, 4, 3, 4, 2, 3,
2, 2, 3, 3)))
expect_that(length(wc), equals(5))
expect_that(sizes(wc), equals(structure(c(9L, 7L, 9L, 4L, 5L), .Dim=5L,
.Dimnames = structure(list(`Community sizes` = c("1", "2", "3", "4",
"5")), .Names = "Community sizes"), class = "table")))
d <- as.dendrogram(wc)
expect_that(print(d), prints_text("2 branches.*34 members.*height 33"))
expect_that(print(d[[1]]),
prints_text("2 branches.*20 members.*height 31"))
expect_that(print(d[[2]]),
prints_text("2 branches.*14 members.*height 32"))
m2 <- cut_at(wc, no=3)
expect_that(modularity(g, m2),
equals(wc$modularity[length(wc$modularity)-2],
tolerance=1e-7))
})
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