rftree

Fits a single <code><a href="/link/randomForest?package=treemisc&version=0.0.1" data-mini-rdoc="treemisc::randomForest">randomForest</a></code> tree.

internal

Miscellaneous data sets and functions to accompany Greenwell (2022)
"Tree-Based Methods for Statistical Learning in R" <doi:10.1201/9781003089032>.

Brandon Greenwell

treemisc

Data Sets and Functions to Accompany "Tree-Based Methods for
Statistical Learning in R"

rftree function

<dl><dt>X</dt>
<dd>A data frame or a matrix of predictors.</dd>
<dt>y</dt>
<dd>Numeric vector of response value. For binary outcomes, <code>y</code> 
should be mapped to {0, 1}. Note that multiclass outcomes are not supported.</dd>
<dt>rotate</dt>
<dd>Logical indicating whether or not to randomly rotate the 
feature values prior to fitting the tree. Default is <code>FALSE</code> which
results in a traditional random forest tree.</dd>
<dt>...</dt>
<dd>Optional arguments to be passed on to 
<code><a href="/link/randomForest?package=treemisc&version=0.0.1" data-mini-rdoc="treemisc::randomForest">randomForest</a></code>.</dd></dl>

Arguments

Fits a single <code><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></code> tree.

Random forest tree — rftree

<dl>

<dt>X</dt>
<dd>A data frame or a matrix of predictors.</dd>


<dt>y</dt>
<dd>Numeric vector of response value. For binary outcomes, <code>y</code> 
should be mapped to {0, 1}. Note that multiclass outcomes are not supported.</dd>


<dt>rotate</dt>
<dd>Logical indicating whether or not to randomly rotate the 
feature values prior to fitting the tree. Default is <code>FALSE</code> which
results in a traditional random forest tree.</dd>


<dt>...</dt>
<dd>Optional arguments to be passed on to 
<code><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></code>.</dd>

</dl>

rftree: Random forest tree

Description

Usage

Arguments