One untangle function to rule them all.
This function untangles dendrogram lists (dendlist), Using various heuristics.
untangle(dend1, ...)
# S3 method for default
untangle(dend1, ...)
untangle_labels(dend1, dend2, ...)
# S3 method for dendrogram
untangle(
dend1,
dend2,
method = c("labels", "ladderize", "random", "step1side", "step2side", "DendSer"),
...
)
# S3 method for dendlist
untangle(
dend1,
method = c("labels", "ladderize", "random", "step1side", "step2side", "DendSer"),
which = c(1L, 2L),
...
)
a dednrogram or a dendlist object
passed to the releavnt untangle function
A second dednrogram (to untangle against)
a character indicating the type of untangle heuristic to use.
an integer vector of length 2, indicating which of the trees in the dendlist object should be plotted
A dendlist, with two trees after they have been untangled.
If the dendlist was originally larger than 2, it will return the original dendlist but with the relevant trees properly rotate.
This function wraps all of the untagnle functions, in order to make it easier to find our about (and use) them.
if (FALSE) {
set.seed(23235)
ss <- sample(1:150, 10)
dend1 <- iris[ss, -5] %>%
dist() %>%
hclust("com") %>%
as.dendrogram()
dend2 <- iris[ss, -5] %>%
dist() %>%
hclust("sin") %>%
as.dendrogram()
dend12 <- dendlist(dend1, dend2)
dend12 %>% tanglegram()
untangle(dend1, dend2, method = "random", R = 5) %>% tanglegram()
# it works, and we get something different:
set.seed(1234)
dend12 %>%
untangle(method = "random", R = 5) %>%
tanglegram()
set.seed(1234)
# fixes it completely:
dend12 %>%
untangle(method = "random", R = 5) %>%
untangle(method = "step1") %>%
tanglegram()
# not good enough
dend12 %>%
untangle(method = "step1") %>%
tanglegram()
# not good enough
dend12 %>%
untangle(method = "step2") %>%
tanglegram()
# How we might wish to use it:
set.seed(12777)
dend12 %>%
untangle(method = "random", R = 1) %>%
untangle(method = "step2") %>%
tanglegram()
}