generateTrees

Generate a residual tree for each level of factor mainfac

Finds features through a detailed analysis of model residuals using rpart classification and regression trees. Scans the residuals of a model across subsets of the data to identify areas where the model differs from the actual data.

Richard Davis

featurefinder

Feature Finder

generateTrees function

<dl><dt>data</dt>
<dd>A dataframe</dd>
<dt>vars</dt>
<dd>A list of candidate predictors</dd>
<dt>expr</dt>
<dd>A expression to be modelled by the RPART tree</dd>
<dt>runname</dt>
<dd>A string corresponding to the name of the variable being modelled</dd>
<dt>...</dt>
<dd>and parameters to be passed through</dd></dl>

Arguments

generateTrees — generateTrees

<dl>

<dt>data</dt>
<dd>A dataframe</dd>


<dt>vars</dt>
<dd>A list of candidate predictors</dd>


<dt>expr</dt>
<dd>A expression to be modelled by the RPART tree</dd>


<dt>runname</dt>
<dd>A string corresponding to the name of the variable being modelled</dd>


<dt>...</dt>
<dd>and parameters to be passed through</dd>

</dl>

generateTrees: generateTrees

Description

Usage

Value

Arguments