mona.object: 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: - datamatrix with the same dimensions as the original data matrix,
but with factors coded as 0 and 1, and all missing values replaced.
- ordera 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.laba vector similar to
order, but containing observation labels
instead of observation numbers. This component is only available if
the original observations were labelled. - variablevector with length n-1, where n is the number of observations,
specifying the variables used to separate the observations of
order. - stepvector 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.