rerange

The function performs a linear transformation of the data, such that
 afterwards <code>range(data)=c(theMin,theMax)</code>.

internal

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

rerange function

<dl> <dt>data</dt>
<dd>vector with the <code>data</code> to transform</dd> <dt>min.goal</dt>
<dd>new minimum value</dd> <dt>max.goal</dt>
<dd>new maximum value</dd> <dt>min.data</dt>
<dd>old minimum value</dd> <dt>max.data</dt>
<dd>old maximum value</dd> <dt>center</dt>
<dd>which old value should become the new center <code>(max.goal + min.goal) / 2)</code></dd></dl>

Arguments

Author

Linear transformation of data — rerange

<dl>

 <dt>data</dt>
<dd>vector with the <code>data</code> to transform</dd>

 <dt>min.goal</dt>
<dd>new minimum value</dd>

 <dt>max.goal</dt>
<dd>new maximum value</dd>

 <dt>min.data</dt>
<dd>old minimum value</dd>

 <dt>max.data</dt>
<dd>old maximum value</dd>

 <dt>center</dt>
<dd>which old value should become the new center <code>(max.goal + min.goal) / 2)</code></dd>

</dl>

rerange: Linear transformation of data

Description

Usage

Value

Arguments

Author

Examples