Nothing
# library(testthat)
context("get_subdendrograms when labels are integers")
test_that("get_subdendrograms works", {
dend <- iris[1:10, -5] %>%
dist() %>%
hclust() %>%
as.dendrogram() %>%
set("labels_to_character") %>%
color_branches(k = 5)
# plot(dend)
dend_list <- get_subdendrograms(dend, 5)
expect_length(dend_list, 5L)
expect_s3_class(dend_list, "dendlist")
cluster_labels <- lapply(dend_list, labels)
# dput(cluster_labels)
expected_cluster_labels <- list("9", c("2", "10"),
c("7", "3", "4"),
"6",
c("8", "1", "5"))
expect_equal(cluster_labels, expected_cluster_labels)
# Do less-rigorous hash-based test for other k
# expect_known_hash(get_subdendrograms(dend, 1), "61885f34b7")
# expect_known_hash(get_subdendrograms(dend, 2), "8cdbb002df")
# expect_known_hash(get_subdendrograms(dend, 10), "9340d1e1dc")
expect_error(get_subdendrograms(dend, 0),
"elements of 'k' must be between")
expect_error(get_subdendrograms(dend, 11),
"elements of 'k' must be between")
})
context("get_subdendrograms when labels aren't integers")
test_that("get_subdendrograms works", {
dend <- iris[1:10, -5] %>%
dist() %>%
hclust() %>%
as.dendrogram() %>%
set("labels_to_character") %>%
color_branches(k = 5) %>%
dendextend::set_labels(paste0("a",labels(.) ))
# plot(dend)
dend_list <- get_subdendrograms(dend, 5)
expect_length(dend_list, 5L)
expect_s3_class(dend_list, "dendlist")
cluster_labels <- lapply(dend_list, labels)
# dput(cluster_labels)
expected_cluster_labels <- list("a9", c("a2", "a10"),
c("a7", "a3", "a4"), "a6",
c("a8", "a1", "a5"))
expect_equal(cluster_labels, expected_cluster_labels)
# Do less-rigorous hash-based test for other k
# expect_known_hash(get_subdendrograms(dend, 1), "b45bf4d9f9")
# expect_known_hash(get_subdendrograms(dend, 2), "362f3a1588")
# expect_known_hash(get_subdendrograms(dend, 10), "2187dd5232")
expect_error(get_subdendrograms(dend, 0),
"elements of 'k' must be between")
expect_error(get_subdendrograms(dend, 11),
"elements of 'k' must be between")
})
context("collapse_labels")
test_that("collapse_labels works", {
set.seed(23235)
ss <- sample(1:150, 5)
# Getting the dend object
dend25 <- iris[ss, -5] %>%
dist() %>%
hclust() %>%
as.dendrogram() %>%
set("labels", letters[1:5])
dend2 <- collapse_labels(dend25, c("d", "e"))
dend3 <- collapse_labels(dend25, c("c", "d", "e"))
# dput(labels(dend2))
# dput(labels(dend3))
expect_equal(labels(dend2), c("a", "b", "c", "d_e"))
expect_equal(labels(dend3), c("a", "b", "c_d_e"))
})
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