View source: R/clustering-hierarchical.R
getHclustObj | R Documentation |
These functions extract the resulting objects
of the respective algorithms calculated with the respective methods denoted
by the method_*
-arguments.
getHclustObj( object, variable_set, phase = NULL, method_dist = NULL, method_aggl = NULL )
object |
A valid cypro object. |
variable_set |
Character value. Denotes the variable set of interest. Use |
phase |
Character or numeric. If character, the ordinal value referring to the phase of interest (e.g. 'first', 'second' etc.). referring to the phase of interest or 'all'. If numeric, the number referring to the phase. If set to NULL takes the phase denoted as default with Ignored if the experiment design contains only one phase. |
method_dist |
Character vector (or value see details for more.) Denotes the distance method(s) of interest (e.g. 'euclidean' or 'manhattan'). Use |
method_aggl |
Character vector (or value see details for more.) Denotes the agglomeration method(s) of interest according to which the existing distance matrices are agglomerated to hierarchical trees. Use |
In this case all method_*
-arguments must be specified as
character values as the objects are returned one by one.
The respective clustering results as their original objects.
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