find_pts

This function maps points to their corresponding hexagonal 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_pts function

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

Arguments

Find points in hexagonal bins — find_pts

<dl>

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

</dl>

find_pts: Find points in hexagonal bins

Description

Usage

Value

Arguments

Examples