Monothetic Analysis Object

DESCRIPTION:

These are objects of class

mona

They represent the divisive hierarchical clustering of a dataset with binary measurements only.

GENERATION:

This class of objects is returned from mona.

METHODS:

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

STRUCTURE:

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

ARGUMENTS:

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 labeled.
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.

SEE ALSO:

, .