mona.object 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 |
variable |
vector of length n-1 where n is the number of observations, specifying the variables used to separate the observations of |
step |
vector of length n-1 where n is the number of observations, specifying the separation steps at which the observations of |
METHODS
The "mona" class has methods for the following generic functions: print, summary, plot.
See Also
mona for examples etc, plot.mona.
Copyright (©) 1999–2012 R Foundation for Statistical Computing.
Licensed under the GNU General Public License.