autoplot.partial

<code><a href="https://ggplot2.tidyverse.org/reference/autoplot.html">ggplot2::autoplot</a></code> method for objects of class <code>"partial"</code> as
returned by <code>pdp_partial</code>.

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

autoplot.partial function

<dl><dt>object</dt>
<dd>A data frame with class <code>"partial"</code>.</dd>
<dt>rug</dt>
<dd>Logical; add quantile rug marks on the x-axis.</dd>
<dt>train</dt>
<dd>Training data used for rug marks (required when <code>rug = TRUE</code>).</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>geom_line</code> or <code>geom_point</code>.</dd></dl>

Arguments

<code><a href='https://ggplot2.tidyverse.org/reference/autoplot.html'>ggplot2::autoplot</a></code> method for objects of class <code>"partial"</code> as
returned by <code>pdp_partial</code>.

Plot a partial dependence object — autoplot.partial

<dl>

<dt>object</dt>
<dd>A data frame with class <code>"partial"</code>.</dd>


<dt>rug</dt>
<dd>Logical; add quantile rug marks on the x-axis.</dd>


<dt>train</dt>
<dd>Training data used for rug marks (required when <code>rug = TRUE</code>).</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>geom_line</code> or <code>geom_point</code>.</dd>

</dl>

autoplot.partial: Plot a partial dependence object

Description

Usage

Value

Arguments