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ScatterDensity: Density Estimation and Visualization of 2D Scatter Plots
The user has the option to utilize the two-dimensional density estimation techniques called smoothed density published by Eilers and Goeman (2004) <doi:10.1093/bioinformatics/btg454>, and pareto density which was evaluated for univariate data by Thrun, Gehlert and Ultsch, 2020 <doi:10.1371/journal.pone.0238835>. Moreover, it provides visualizations of the density estimation in the form of two-dimensional scatter plots in which the points are color-coded based on increasing density. Colors are defined by the one-dimensional clustering technique called 1D distribution cluster algorithm (DDCAL) published by Lux and Rinderle-Ma (2023) <doi:10.1007/s00357-022-09428-6>.
Getting started
Browse package contents
Package details |
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| Author | Michael Thrun [aut, cre, cph] (<https://orcid.org/0000-0001-9542-5543>), Felix Pape [aut, rev], Luca Brinkman [aut], Quirin Stier [aut] (<https://orcid.org/0000-0002-7896-4737>) |
| Maintainer | Michael Thrun <m.thrun@gmx.net> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://www.deepbionics.org/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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