Scorecard_cluster: Cluster variables by correlation
In Zelazny7/rubbish: Scorecard modeling in R
Description
Arguments
Details
Value
Description
Cluster variables by correlation
Arguments
keep
logical indicating whether to include dropped variables in the
correlation cluster analysis.
Details
the cluster function first performs weight-of-evidence substitution.
Cluster returns a classing_cluster object which is a list containing
two fields: correlation & cluster. The first is a correlation matrix for all
of the variables in the classing. The second is an hclust object which is
result of hierarchical clustering of the correlation matrix.
Value
a classing_cluster object
Zelazny7/rubbish documentation built on May 10, 2019, 1:56 a.m.
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Description Arguments Details Value
Description
Cluster variables by correlation
Arguments
keep |
logical indicating whether to include dropped variables in the correlation cluster analysis. |
Details
the cluster function first performs weight-of-evidence substitution. Cluster returns a classing_cluster object which is a list containing two fields: correlation & cluster. The first is a correlation matrix for all of the variables in the classing. The second is an hclust object which is result of hierarchical clustering of the correlation matrix.
Value
a classing_cluster object
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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