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liminal

liminal is an R package for constructing interactive visualisations designed for exploratory high-dimensional data analysis. It’s main purpose is to combine tours with (non-linear) dimension reduction algorithms to provide a more holistic view of the geometry and topology of a dataset. These are designed for data analysts first, so they render either inside the RStudio Viewer pane or from a web-browser using shiny.

There are two main functions for generating tour interfaces:

  • The basic tour animation via limn_tour()
  • Linking tours to another view limn_tour_link()

The goal of liminal is to provide complementary visualisations for use with understanding embedding algorithms such as tSNE. It has been shown that in order to produce an ‘effective’ embedding one may have to play with hyperparamters and various settings for these algorithms. liminal allows you to see how different parameterisations warps the underlying high-dimensional space.

See the liminal vignette for details of package usage and our arXiv preprint for a complete discussion on how to apply liminal to real data analysis workflows like clustering.

Quick Start

The development version of liminal can be installed as follows:

# install.packages("remotes")
remotes::install_github("sa-lee/liminal")

You can generate a tour view that will load in the Rstudio Viewer pane:

library(liminal)
limn_tour(fake_trees, dim1:dim10)

The interface provides instructions on how to use it, click on the help button to get started!

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Install

install.packages('liminal')

Monthly Downloads

21

Version

0.1.2

License

MIT + file LICENSE

Issues

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Stars

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Maintainer

Stuart Lee

Last Published

May 28th, 2021

Functions in liminal (0.1.2)

fake_trees

A high-dimensional tree data structure with 10 branching points.
clamp

Rescale all columns of a matrix
compute_half_range

Compute range of axes for a tour
limn_tour_link

Link a 2-d embedding with a tour
morph_center

Morphing Projections
limn_tour

Tour a high dimensional dataset
liminal-package

liminal: interactive high-dimensional data visualisation
limn_pal_tableau10

liminal color palettes
pdfsense

Parton distribution function sensitivity experiments
compute_proj_dist

Compute Frobenius norm of matrix-like objects x and y