betascale

Performs the scaling for beta scaling learned by <code>b.scal</code>.

classif

Miscellaneous functions for classification and visualization,
e.g. regularized discriminant analysis, sknn() kernel-density naive Bayes,
an interface to 'svmlight' and stepclass() wrapper variable selection
for supervised classification, partimat() visualization of classification rules
and shardsplot() of cluster results as well as kmodes() clustering for categorical data,
corclust() variable clustering, variable extraction from different variable clustering models
and weight of evidence preprocessing.

Uwe Ligges

klaR

Classification and Visualization

betascale function

<dl> <dt>betaobj</dt>
<dd>A model learned by <code>b.scal</code>.</dd> <dt>member</dt>
<dd>Membership values to be scaled.</dd></dl>

Arguments

Scale membership values according to a beta scaling — betascale

<dl>

 <dt>betaobj</dt>
<dd>A model learned by <code>b.scal</code>.</dd>

 <dt>member</dt>
<dd>Membership values to be scaled.</dd>

</dl>

betascale: Scale membership values according to a beta scaling

Description

Usage

Value

Arguments

Details

See Also

Examples