plot.nb

The Radiant Model menu includes interfaces for linear and logistic
regression, naive Bayes, neural networks, classification and regression trees,
model evaluation, collaborative filtering, decision analysis, and simulation.
The application extends the functionality in 'radiant.data'.

Vincent Nijs

radiant.model

Model Menu for Radiant: Business Analytics using R and Shiny

plot.nb function

<dl><dt>x</dt>
<dd>Return value from <code>nb</code></dd>
<dt>plots</dt>
<dd>Plots to produce for the specified model. Use "" to avoid showing any plots. Use "vimp" for variable importance or "correlations" to examine conditional independence</dd>
<dt>lev</dt>
<dd>The level(s) in the response variable used as the basis for plots (defaults to "All levels")</dd>
<dt>nrobs</dt>
<dd>Number of data points to show in scatter plots (-1 for all)</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Plot method for the nb function — plot.nb

<dl>

<dt>x</dt>
<dd>Return value from <code>nb</code></dd>


<dt>plots</dt>
<dd>Plots to produce for the specified model. Use "" to avoid showing any plots. Use "vimp" for variable importance or "correlations" to examine conditional independence</dd>


<dt>lev</dt>
<dd>The level(s) in the response variable used as the basis for plots (defaults to "All levels")</dd>


<dt>nrobs</dt>
<dd>Number of data points to show in scatter plots (-1 for all)</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods</dd>

</dl>

plot.nb: Plot method for the nb function

Description

Usage

Arguments

Details

See Also

Examples