avg_highd_data

This function calculates the average values of high-dimensional data within each hexagonal bin.

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

avg_highd_data function

<dl><dt>highd_data</dt>
<dd>A tibble that contains the high-dimensional data.</dd>
<dt>scaled_nldr_hexid</dt>
<dd>A tibble that contains the scaled embedding with hexagonal bin IDs.</dd></dl>

Arguments

Create a tibble with averaged high-dimensional data — avg_highd_data

<dl>

<dt>highd_data</dt>
<dd>A tibble that contains the high-dimensional data.</dd>


<dt>scaled_nldr_hexid</dt>
<dd>A tibble that contains the scaled embedding with hexagonal bin IDs.</dd>

</dl>

avg_highd_data: Create a tibble with averaged high-dimensional data

Description

Usage

Value

Arguments

Examples