autoplot.apd_pca

Plot the distribution function for principal components

A modeling package compiling applicability domain methods in
R. It combines different methods to measure the amount of
extrapolation new samples can have from the training set. See Gadaleta et
al (2016) <doi:10.4018/IJQSPR.2016010102> for an overview of
applicability domains.

Marly Gotti

applicable

A Compilation of Applicability Domain Methods

Max Kuhn

RStudio 

autoplot.apd_pca function

<dl><dt>object</dt>
<dd>An object produced by <code>apd_pca</code>.</dd>
<dt>...</dt>
<dd>An optional set of <code>dplyr</code> selectors, such as <code><a href="https://tidyselect.r-lib.org/reference/starts_with.html">dplyr::matches()</a></code> or
<code><a href="https://tidyselect.r-lib.org/reference/starts_with.html">dplyr::starts_with()</a></code> for selecting which variables should be shown in the
plot.</dd></dl>

Arguments

Plot the distribution function for principal components — autoplot.apd_pca

<dl>

<dt>object</dt>
<dd>An object produced by <code>apd_pca</code>.</dd>


<dt>...</dt>
<dd>An optional set of <code>dplyr</code> selectors, such as <code><a href='https://tidyselect.r-lib.org/reference/starts_with.html'>dplyr::matches()</a></code> or
<code><a href='https://tidyselect.r-lib.org/reference/starts_with.html'>dplyr::starts_with()</a></code> for selecting which variables should be shown in the
plot.</dd>

</dl>

autoplot.apd_pca: Plot the distribution function for principal components

Description

Usage

Value

Arguments

Examples