plotVotes

For classification models, plot distribution of votes for each 
 sample in each class.

Estimate significance of importance metrics
for a Random Forest model by permuting the response
variable. Produces null distribution of importance
metrics for each predictor variable and p-value of
observed. Provides summary and visualization functions for 'randomForest'
results.

Eric Archer

rfPermute

Estimate Permutation p-Values for Random Forest Importance
Metrics

plotVotes function

<dl><dt>x</dt>
<dd>a <code>rfPermute</code> or <code>randomForest</code> model object.</dd>
<dt>type</dt>
<dd>either <code>area</code> for stacked continuous area plot or 
<code>bar</code> for discrete stacked bar chart. The latter is prefered for small 
numbers of cases. If not specified, a bar chart will be used if all 
classes have &lt;= 30 cases.</dd>
<dt>freq.sep.line</dt>
<dd>put frequency of original group on second line in facet 
label? If <code>FALSE</code>, labels are single line. If <code>NULL</code> frequencies 
will not be included in labels.</dd>
<dt>plot</dt>
<dd>display the plot?</dd></dl>

Arguments

Eric Archer <a href="/link/eric.archer%40noaa.gov?package=rfPermute&version=2.5.2" data-mini-rdoc="rfPermute::eric.archer@noaa.gov">eric.archer@noaa.gov</a>

Author

Plot Vote Distribution — plotVotes

<dl>

<dt>x</dt>
<dd>a <code>rfPermute</code> or <code>randomForest</code> model object.</dd>


<dt>type</dt>
<dd>either <code>area</code> for stacked continuous area plot or 
<code>bar</code> for discrete stacked bar chart. The latter is prefered for small 
numbers of cases. If not specified, a bar chart will be used if all 
classes have &lt;= 30 cases.</dd>


<dt>freq.sep.line</dt>
<dd>put frequency of original group on second line in facet 
label? If <code>FALSE</code>, labels are single line. If <code>NULL</code> frequencies 
will not be included in labels.</dd>


<dt>plot</dt>
<dd>display the plot?</dd>

</dl>

Eric Archer <a href='mailto:eric.archer@noaa.gov'>eric.archer@noaa.gov</a>

plotVotes: Plot Vote Distribution

Description

Usage

Value

Arguments

Author

Examples