R: Banner of Monothetic Divisive Hierarchical Clusterings

plot.mona {cluster} | R Documentation

## Banner of Monothetic Divisive Hierarchical Clusterings

### Description

Creates the banner of a `mona` object.

### Usage

    ## S3 method for class 'mona'
    plot(x, main = paste("Banner of ", deparse(x$call)),
              sub = NULL, xlab = "Separation step",
    	  col = c(2,0), axes = TRUE, adj = 0,
              nmax.lab = 35, max.strlen = 5, ...)

### Arguments

`x` | an object of class `"mona"`, typically created by `mona(.)`.
`main,sub` | main and sub titles for the plot, with convenient defaults. See documentation in `plot.default`.
`xlab` | x axis label, see `title`.
`col,adj` | graphical parameters passed to `bannerplot()`.
`axes` | logical, indicating if (labeled) axes should be drawn.
`nmax.lab` | integer indicating the number of labels which is considered too large for labeling.
`max.strlen` | positive integer giving the length to which strings are truncated in labeling.
`...` | further graphical arguments are passed to `bannerplot()` and `text`.

### Details

Plots the separation step at which clusters are splitted. The observations are given in the order found by the `mona` algorithm, the numbers in the `step` vector are represented as bars between the observations.

When a long bar is drawn between two observations, those observations have the same value for each variable. See chapter 7 of Kaufman and Rousseeuw (1990).

### Side Effects

A banner is plotted on the current graphics device.

### Note

In the banner plot, observation labels are only printed when the number of observations is limited less than `nmax.lab` (35, by default), for readability. Moreover, observation labels are truncated to maximally `max.strlen` (5) characters.

### References

see those in `plot.agnes`.

### See Also

`mona`, `mona.object`, `par`.

[Package cluster version 2.0.7-1 Index]