| Partitioning | R Documentation | 
This is the abstract superclass for partitioning objects like PartitioningCtree and PartitioningRpart.
A Partitioning contains information about feature subspaces with conditional average marginal effects (cAME) computed for ForwardMarginalEffect objects.
objecta ForwardMarginalEffect object with results computed
methodthe method for finding feature subspaces
valuethe value of method
resultsdescriptive statistics of the resulting feature subspaces
treethe tree representing the partitioning, a party object
tree.controlcontrol parameters for the RP algorithm
computedlogical specifying if compute() has been run
new()Create a Partitioning object
Partitioning$new(...)
...Partitioning cannot be initialized, only its subclasses
compute()Computes the partitioning, i.e., feature subspaces with more homogeneous FMEs, for a ForwardMarginalEffect object.
Partitioning$compute()
An Partitioning object with results.
# Compute results for an arbitrary partitioning: # subspaces$compute()
plot()Plots results, i.e., a decision tree and summary statistics of the feature subspaces, for an Partitioning object after $compute() has been run.
Partitioning$plot()
# Plot an arbitrary partitioning: # subspaces$plot()
clone()The objects of this class are cloneable with this method.
Partitioning$clone(deep = FALSE)
deepWhether to make a deep clone.
## ------------------------------------------------
## Method `Partitioning$compute`
## ------------------------------------------------
# Compute results for an arbitrary partitioning:
# subspaces$compute()
## ------------------------------------------------
## Method `Partitioning$plot`
## ------------------------------------------------
# Plot an arbitrary partitioning:
# subspaces$plot()
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