clusterSplit: Split the Chosen Bin
In rwoldford/treebinr: Data Reduction via Tree-based Binning
Description
Usage
Arguments
Value
Description
gapSplit splits the bin chosen by gapSelect by placing a boundary at the midpoint of the two points
with the largest gap measure computed by gapMeasure
Usage
1
clusterSplit(bin, binMeasure, inputs)
Arguments
bin
An object of class bin
binMeasure
A user supplied function to compute the measure associated with each bin
inputs
A list containing additional input parameters required by user supplied functions
Value
newBins
A list containing two bin objects to be added to the existing list of bins
rwoldford/treebinr documentation built on May 12, 2019, 4:38 a.m.
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Description Usage Arguments Value
Description
gapSplit splits the bin chosen by gapSelect by placing a boundary at the midpoint of the two points
with the largest gap measure computed by gapMeasure
Usage
1 | clusterSplit(bin, binMeasure, inputs)
|
Arguments
bin |
An object of class bin |
binMeasure |
A user supplied function to compute the measure associated with each bin |
inputs |
A list containing additional input parameters required by user supplied functions |
Value
newBins |
A list containing two bin objects to be added to the existing list of bins |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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