compute_mean_density_hex

This function calculates the mean density of hexagonal bins based on their neighboring 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

compute_mean_density_hex function

<dl><dt>model_2d</dt>
<dd>A tibble that contains information about hexagonal bin centroids,
including the hexagon ID and the standardised counts (<code>w_h</code>).</dd>
<dt>b1</dt>
<dd>The number of bins along the x-axis for the hexagonal grid.</dd></dl>

Arguments

Compute mean density of hexagonal bins — compute_mean_density_hex

<dl>

<dt>model_2d</dt>
<dd>A tibble that contains information about hexagonal bin centroids,
including the hexagon ID and the standardised counts (<code>w_h</code>).</dd>


<dt>b1</dt>
<dd>The number of bins along the x-axis for the hexagonal grid.</dd>

</dl>

compute_mean_density_hex: Compute mean density of hexagonal bins

Description

Usage

Value

Arguments

Examples