R: Clustering Tree of a Hierarchical Clustering

pltree.twins {cluster}

R Documentation

Clustering Tree of a Hierarchical Clustering

Description

Draws a clustering tree (dendrogram) of a twins object, i.e., hierarchical clustering, typically resulting from agnes() or diana().

Usage

## S3 method for class 'twins'
pltree(x, main = paste("Dendrogram of ", deparse(x$call)),
             labels = NULL, ylab = "Height", ...)

Arguments

`x`	an object of class `"twins"`, typically created by either `agnes()` or `diana()`.
`main`	main title with a sensible default.
`labels`	labels to use; the default is constructed from `x`.
`ylab`	label for y-axis.
`...`	graphical parameters (see `par`) may also be supplied as arguments to this function.

Details

Creates a plot of a clustering tree given a twins object. The leaves of the tree are the original observations. In case of an agglomerative clustering, two branches come together at the distance between the two clusters being merged. For a divisive clustering, a branch splits up at the diameter of the cluster being splitted.

Note that currently the method function simply calls plot(as.hclust(x), ...), which dispatches to plot.hclust(..). If more flexible plots are needed, consider xx <- as.dendrogram(as.hclust(x)) and plotting xx, see plot.dendrogram.

Value

a NULL value is returned.

Examples

data(votes.repub)
agn <- agnes(votes.repub)
pltree(agn)

dagn  <- as.dendrogram(as.hclust(agn))
dagn2 <- as.dendrogram(as.hclust(agn), hang = 0.2)
op <- par(mar = par("mar") + c(0,0,0, 2)) # more space to the right
plot(dagn2, horiz = TRUE)
plot(dagn, horiz = TRUE, center = TRUE,
     nodePar = list(lab.cex = 0.6, lab.col = "forest green", pch = NA),
     main = deparse(agn$call))
par(op)

[Package cluster version 1.14.2 Index]