plot.woe

Barplot of information values to compare dicriminator of the transformed variables.

multivariate

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

plot.woe function

<dl> <dt>x</dt>
<dd>An object of class <code>woe</code>.</dd> <dt>type</dt>
<dd>Character to specify the plot type, see below. Either <code>"IV"</code> (default) or <code>"woes"</code>.</dd> <dt>...</dt>
<dd>Further arguments to be passed to the barplot function.</dd></dl>

Arguments

Author

Plot information values — plot.woe

<dl>

 <dt>x</dt>
<dd>An object of class <code>woe</code>.</dd>

 <dt>type</dt>
<dd>Character to specify the plot type, see below. Either <code>"IV"</code> (default) or <code>"woes"</code>.</dd>

 <dt>...</dt>
<dd>Further arguments to be passed to the barplot function.</dd>

</dl>

Data engineering and BI courses are free!

plot.woe: Plot information values

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples