unif2d

<p>A dataset containing the Cartesian coordinates of 100 points uniformly distributed
within a unit square.</p>

datasets

A comprehensive toolset for any
useR conducting topological data analysis, specifically via the
calculation of persistent homology in a Vietoris-Rips complex.
The tools this package currently provides can be conveniently split
into three main sections: (1) calculating persistent homology; (2)
conducting statistical inference on persistent homology calculations;
(3) visualizing persistent homology and statistical inference.
The published form of TDAstats can be found in Wadhwa et al. (2018)
<doi:10.21105/joss.00860>.
For a general background on computing persistent homology for
topological data analysis, see Otter et al. (2017)
<doi:10.1140/epjds/s13688-017-0109-5>.
To learn more about how the permutation test is used for
nonparametric statistical inference in topological data analysis,
read Robinson & Turner (2017) <doi:10.1007/s41468-017-0008-7>.
To learn more about how TDAstats calculates persistent homology,
you can visit the GitHub repository for Ripser, the software that
works behind the scenes at <https://github.com/Ripser/ripser>.
This package has been published as Wadhwa et al. (2018)
<doi:10.21105/joss.00860>.

Raoul Wadhwa

TDAstats

Pipeline for Topological Data Analysis

Andrew Dhawan

Drew Williamson

Jacob Scott

Jason Cory Brunson

Shota Ochi

unif2d function

<p>A matrix with 100 rows and 2 columns: the x- and y-coordinates</p>

Format

2-dimensional point cloud of a unit square — unif2d

2-dimensional point cloud of a unit square

unif2d: 2-dimensional point cloud of a unit square

Description

Usage

Arguments

Format