Nothing
# library(testthat)
context("Baker's gamma correlation between two trees")
test_that("lowest_common_branch works", {
item1 <- structure(c(1L, 1L, 1L, 1L), .Names = c("1", "2", "3", "4"))
item2 <- structure(c(1L, 1L, 2L, 2L), .Names = c("1", "2", "3", "4"))
expect_identical(lowest_common_branch(item1, item2), 2)
})
test_that("cor_bakers_gamma works", {
suppressWarnings(RNGversion("3.5.0"))
set.seed(23235)
ss <- sample(1:150, 10) # we want to compare small trees
hc1 <- hclust(dist(datasets::iris[ss, -5]), "com")
hc2 <- hclust(dist(datasets::iris[ss, -5]), "single")
dend1 <- as.dendrogram(hc1)
dend2 <- as.dendrogram(hc2)
# cutree(dend1)
# hclust and dendrogram works:
expect_identical(cor_bakers_gamma(hc1, hc2), cor_bakers_gamma(dend1, dend2))
expect_identical(round(cor_bakers_gamma(dend1, dend2), 2), 0.57)
# use_labels_not_values works:
expect_identical(
cor_bakers_gamma(dend1, dend2, use_labels_not_values = TRUE),
cor_bakers_gamma(dend1, dend2, use_labels_not_values = FALSE)
)
# Cor value of a tree with itself is 1:
expect_identical(round(cor_bakers_gamma(dend1, dend1), 2), 1)
# tree order has no effect on the correlation:
rev_dend1 <- rev(dend1)
expect_identical(round(cor_bakers_gamma(dend1, rev_dend1), 2), 1)
# But labels order does matter!!
dend1_mixed <- dend1
labels(dend1_mixed) <- rev(labels(dend1_mixed))
# does NOT mean having the worst cor!
expect_false(identical(cor_bakers_gamma(dend1, dend1_mixed), 1))
})
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