bplot_tree {lazy.cluster}R Documentation

Plot of Two Dimensional Data with Classification

Description

Plot of Two Dimensional Data with Classification

Usage

bplot_tree(data = NULL, tree = NULL, ncl = 2, pca = 0,
  plotbase = NULL, noid = 0, xlim = NULL, ylim = NULL,
  colorlist = NULL)

Arguments

data

Data frame

tree

A class hclust object

ncl

A vector of the number of clusters

pca

= 1 to use pca of data as the plot base

plotbase

A matrix to be used as X in the biplot

noid

= 1 not print id in plot

xlim

x-axis limits

ylim

y-axis limits

colorlist

A list of color names to be used

Details

This function plots data[,1:2], pca(data)[,1:2] or plotbase[,1:2] with ids which come from the tree object.

The clustering result is marked by the colors given in colorlist.
pca has precedence over plotbase.

Examples

Y <- demodata[,1:8]
set.seed(1701)
resY2 <- hclust( dist(Y) )
bplot_tree( Y, resY2, 5, pca=1 )
resY3 <- dhclust( Y, maxclustersize=3 )
bplot_tree( Y, resY3$tree_l, 5, pca=1 )
bplot_tree( Y, resY3$tree_s, 5, pca=1 )


[Package lazy.cluster version 0.1.2 Index]