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RPointCloud (version 0.8.0)

Visualizing Topological Loops and Voids

Description

Visualizations to explain the results of a topological data analysis. The goal of topological data analysis is to identify persistent topological structures, such as loops (topological circles) and voids (topological spheres), in data sets. The output of an analysis using the 'TDA' package is a Rips diagram (named after the mathematician Eliyahu Rips). The goal of 'RPointCloud' is to fill in these holes in the data by providing tools to visualize the features that help explain the structures found in the Rips diagram. See McGee and colleagues (2024) .

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Version

Install

install.packages('RPointCloud')

Monthly Downloads

132

Version

0.8.0

License

Artistic-2.0

Maintainer

Kevin Coombes

Last Published

August 19th, 2024

Functions in RPointCloud (0.8.0)

Projection-class

Projection Objects For Visualizing 3D Topological Data Analysis Results in 2D
cytof-data

CyTOF Data
disentangle

Disentangling Rips Diagrams From Their Initial Data Coordinates
treg-data

Single Cell Data on T Regulatory (Treg) Cells
tailHisto

Function to extract the right tail of a histogram for display purposes.
CLL-data

Chronic Lymphocytic Leukemia Clinical Data
voids

3D Scatter Plots of Cycles and Features
LDPC

Local Dimension of Point Clouds
Cycle-class

Cycle Objects For Visualizing Topological Data Analysis Results
EBexpo-class

The EBexpo Class
LoopCircos-class

The LoopCircos Class
ExpoFit-class

The ExpoFit Class
Feature-class

Feature Objects For Visualizing Topological Data Anal;ysis Results
LoopFeature-class

LoopFeature Objects For Visualizing Features That Define Loops