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),
  ...
)

Arguments

dend1

a dednrogram or a dendlist object

...

passed to the releavnt untangle function

dend2

A second dednrogram (to untangle against)

method

a character indicating the type of untangle heuristic to use.

which

an integer vector of length 2, indicating which of the trees in the dendlist object should be plotted

Value

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.

Details

This function wraps all of the untagnle functions, in order to make it easier to find our about (and use) them.

See also

Author

Tal Galili

Examples

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() }