mona.object {cluster} | R Documentation |
These are objects of class "mona" They represent the divisive hierarchical clustering of a dataset with binary measurements only.
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.
|
This class of objects is returned from mona
.
The "mona"
class has methods for the following generic functions:
print
, summary
, plot
.
A legitimate mona
object is a list with the following components: