find_non_empty_bins

This function determines the number of bins along the x and y axes
to obtain a specific number of non-empty bins.

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

find_non_empty_bins function

<dl><dt>nldr_obj</dt>
<dd>A list of a tibble contains scaled first and second columns
of NLDR data, and numeric vectors representing the limits of the original NLDR data.</dd>
<dt>m</dt>
<dd>The desired number of non-empty bins.</dd>
<dt>q</dt>
<dd>The buffer amount as proportion of data range.</dd></dl>

Arguments

Find the number of bins required to achieve required number of non-empty bins. — find_non_empty_bins

<dl>

<dt>nldr_obj</dt>
<dd>A list of a tibble contains scaled first and second columns
of NLDR data, and numeric vectors representing the limits of the original NLDR data.</dd>


<dt>m</dt>
<dd>The desired number of non-empty bins.</dd>


<dt>q</dt>
<dd>The buffer amount as proportion of data range.</dd>

</dl>

find_non_empty_bins: Find the number of bins required to achieve required number of non-empty bins.

Description

Usage

Value

Arguments

Examples