bind_random

Given the orthonormality constraint, the projection bases live in a high dimensional hollow sphere.
Generating random points on the sphere is useful to perceive the data object in the high dimensional space.

Diagnostic plots for optimisation, with a focus on projection pursuit. These show paths the optimiser
takes in the high-dimensional space in multiple ways: by reducing the dimension using principal component analysis, and
also using the tour to show the path on the high-dimensional space. Several botanical colour palettes are included, reflecting the
name of the package. A paper describing the methodology can be found at <https://journal.r-project.org/articles/RJ-2021-105/index.html>.

H. Sherry Zhang

ferrn

Facilitate Exploration of touRR optimisatioN

Dianne Cook

Ursula Laa

Nicolas Langrené

Patricia Menéndez

bind_random function

<dl><dt>dt</dt>
<dd>a data object collected by the projection pursuit guided tour optimisation in the <code>tourr</code> package</dd>
<dt>n</dt>
<dd>numeric; the number of random bases to generate in each dimension by geozoo</dd>
<dt>seed</dt>
<dd>numeric; a seed for generating reproducible random bases from geozoo</dd></dl>

Arguments

Bind random bases in the projection bases space — bind_random

<dl>

<dt>dt</dt>
<dd>a data object collected by the projection pursuit guided tour optimisation in the <code>tourr</code> package</dd>


<dt>n</dt>
<dd>numeric; the number of random bases to generate in each dimension by geozoo</dd>


<dt>seed</dt>
<dd>numeric; a seed for generating reproducible random bases from geozoo</dd>

</dl>

bind_random: Bind random bases in the projection bases space

Description

Usage

Value

Arguments

See Also

Examples