mona.object             package:cluster             R Documentation

Monothetic Analysis (MONA) Object

Description:

     The objects of class '"mona"' represent the divisive hierarchical
     clustering of a dataset with only binary variables (measurements).
       This class of objects is returned from 'mona'.

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 of length n-1 where n is the number of observations,
          specifying the variables used to separate the observations of
          'order'. 

    step: vector of length n-1 where n is the number of observations,
          specifying the separation steps at which the observations of
          'order' are separated. 

METHODS:

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

See Also:

     'mona' for examples etc, 'plot.mona'.

