mona.object {cluster}R Documentation

Monothetic Analysis (MONA) Object

Description

The objects of class "mona" represent the divisive hierarchical clustering of a dataset with binary measurements only.

Value

A legitimate mona object is a list with the following components:

data matrix with the same dimensions as the original data matrix, but with factors coded as 0 and 1, and all missing values replaced.
order a vector giving a permutation of the original observations to allow for plotting, in the sense that the branches of a clustering tree will not cross.
order.lab a vector similar to order, but containing observation labels instead of observation numbers. This component is only available if the original observations were labelled.
variable vector with length n-1, where n is the number of observations, specifying the variables used to separate the observations of order.
step vector with length n-1, where n is the number of observations, specifying the separation steps at which the observations of order are separated.

GENERATION

This class of objects is returned from mona.

METHODS

The "mona" class has methods for the following generic functions: print, summary, plot.

See Also

mona, plot.mona.


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