augment

This is a generic function to augment datasets with predictions and error metrics
from different models, including NLDR models.

To construct a model in 2-D space from 2-D nonlinear
dimension reduction data and then lift it to the high-dimensional
space. Additionally, provides tools to visualise the model overlay the
data in 2-D and high-dimensional space. Furthermore, provides
summaries and diagnostics to evaluate the nonlinear dimension
reduction layout.

Jayani P. G. Lakshika

quollr

Visualising How Nonlinear Dimension Reduction Warps Your Data

Jayani P. Gamage

Dianne Cook

Paul Harrison

Michael Lydeamore

Thiyanga S. Talagala

augment function

<dl><dt>x</dt>
<dd>An object to augment.</dd>
<dt>...</dt>
<dd>Additional arguments passed to methods (e.g., high-dimensional data).</dd></dl>

Arguments

S3 generic for augment — augment

<dl>

<dt>x</dt>
<dd>An object to augment.</dd>


<dt>...</dt>
<dd>Additional arguments passed to methods (e.g., high-dimensional data).</dd>

</dl>

augment: S3 generic for augment

Description

Usage

Arguments