rotate | R Documentation |
Rotates, rev and sort the branches of a tree object (dendrogram, hclust) based on a vector - either of labels order (numbers) or the labels in their new order (character).
rotate(x, ...)
## Default S3 method:
rotate(x, order, ...)
## S3 method for class 'dendrogram'
rotate(x, order, ...)
## S3 method for class 'hclust'
rotate(x, order, ...)
## S3 method for class 'phylo'
rotate(x, ..., phy)
## S3 method for class 'dendrogram'
sort(x, decreasing = FALSE, type = c("labels", "nodes"), ...)
## S3 method for class 'hclust'
sort(x, decreasing = FALSE, ...)
## S3 method for class 'dendlist'
sort(x, ...)
## S3 method for class 'hclust'
rev(x, ...)
x |
a tree object (either a |
... |
parameters passed (for example, in case of sort) |
order |
Either numeric or character vector.
Is numeric: it is a numeric vector with the order of the value to be
assigned to object's label. The numbers say are just like when you use order:
which of the items on the tree-plot should be "first" (e.g: most left),
second etc. (this is relevant only to |
phy |
a placeholder in case the user uses "phy =" |
decreasing |
logical. Should the sort be increasing or decreasing? Not available for partial sorting. (relevant only to |
type |
a character indicating how to sort. If "labels" then by lexicographic order of the labels. If "nodes", then by using ladderize (order so that recursively, the leftmost branch will be the smallest) |
The motivation for this function came from the function
order.dendrogram
NOT being very intuitive.
What rotate
aims to do is give a simple tree rotation function which
is based on the order which the user would like to see the tree rotated by
(just as order
works for numeric vectors).
rev.dendrogram
is part of base R, and returns the tree object
after rotating it so that the order of the labels is reversed.
Here we added an S3 method for hclust objects.
The sort
methods sort the labels of the tree (using order
)
and then attempts to rotate the tree to fit that order.
The hclust method of "rotate
" works by first changing the object into
dendrogram, performing the rotation, and then changing it back to hclust.
Special care is taken in preserving some of the properties of the hclust
object.
The ape package has its own rotate
function (which is sadly not S3, so cannot be easily connected with the
current implementation). Still, there is an S3 plug that makes sure people
loading ape first and then dendextend will still be able to
use rotate
without a problem.
Notice that if you first load ape and only then dendextend,
using "rotate" will fail with the error: "Error in rotate(dend, ____) :
object 'phy' is not of class 'phylo'" - this is because rotate in ape
is not S3 and will fail to find the rotate.dendrogram function.
In such a case, simply run unloadNamespace(ape)
. Or, you can run:
unloadNamespace("dendextend"); attachNamespace("dendextend")
The solution for this is that if you have ape installed on your machine,
it will be loaded when you load dendextend (but after it).
This way, rotate
will work fine for both dendrogram and phylo
objects.
A rotated tree object
order.dendrogram
, order
,
rev.dendrogram
, rotate
, ladderize
hc <- hclust(dist(USArrests[c(1, 6, 13, 20, 23), ]), "ave")
dend <- as.dendrogram(hc)
# For dendrogram objects:
labels_colors(dend) <- rainbow(nleaves(dend))
# let's color the labels to make the followup of the rotation easier
par(mfrow = c(1, 2))
plot(dend, main = "Original tree")
plot(rotate(dend, c(2:5, 1)),
main =
"Rotates the left most leaf \n into the right side of the tree"
)
par(mfrow = c(1, 2))
plot(dend, main = "Original tree")
plot(sort(dend), main = "Sorts the labels by alphabetical order \n
and rotates the tree to give the best fit possible")
par(mfrow = c(1, 2))
plot(dend, main = "Original tree")
plot(rev(dend), main = "Reverses the order of the tree labels")
# For hclust objects:
plot(hc)
plot(rotate(hc, c(2:5, 1)), main = "Rotates the left most leaf \n
into the right side of the tree")
par(mfrow = c(1, 3))
dend %>% plot(main = "Original tree")
dend %>%
sort() %>%
plot(main = "labels sort")
dend %>%
sort(type = "nodes") %>%
plot(main = "nodes (ladderize) sort")
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