Banner of Monothetic Divisive Hierarchical Clusterings
Creates the banner of a mona
object.
## 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, ...)
x |
an object of class |
main,sub |
main and sub titles for the plot, with convenient
defaults. See documentation in |
xlab |
x axis label, see |
col,adj |
graphical parameters passed to |
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
|
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).
A banner is plotted on the current graphics device.
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.
see those in plot.agnes
.
mona
, mona.object
, par
.
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