stats (version 3.3)

# reorder.dendrogram: Reorder a Dendrogram

## Description

A method for the generic function `reorder`.

There are many different orderings of a dendrogram that are consistent with the structure imposed. This function takes a dendrogram and a vector of values and reorders the dendrogram in the order of the supplied vector, maintaining the constraints on the dendrogram.

## Usage

```## S3 method for class 'dendrogram':
reorder(x, wts, agglo.FUN = sum, \dots)```

## Arguments

x
the (dendrogram) object to be reordered
wts
numeric weights (arbitrary values) for reordering.
agglo.FUN
a function for weights agglomeration, see below.
...

## Value

• A dendrogram where each node has a further attribute `value` with its corresponding weight.

## Details

Using the weights `wts`, the leaves of the dendrogram are reordered so as to be in an order as consistent as possible with the weights. At each node, the branches are ordered in increasing weights where the weight of a branch is defined as \$f(w_j)\$ where \$f\$ is `agglo.FUN` and \$w_j\$ is the weight of the \$j\$-th sub branch).

`reorder`.

`rev.dendrogram` which simply reverses the nodes' order; `heatmap`, `cophenetic`.

## Examples

Run this code
``````require(graphics)

set.seed(123)
x <- rnorm(10)
hc <- hclust(dist(x))
dd <- as.dendrogram(hc)
dd.reorder <- reorder(dd, 10:1)
plot(dd, main = "random dendrogram 'dd'")

op <- par(mfcol = 1:2)
plot(dd.reorder, main = "reorder(dd, 10:1)")
plot(reorder(dd, 10:1, agglo.FUN = mean), main = "reorder(dd, 10:1, mean)")
par(op)``````

Run the code above in your browser using DataCamp Workspace