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ScatterDensity  

Density Estimation and Visualization of 2D Scatter Plots
View on CRAN: Click here


Download and install ScatterDensity package within the R console
Install from CRAN:
install.packages("ScatterDensity")

Install from Github:
library("remotes")
install_github("cran/ScatterDensity")

Install by package version:
library("remotes")
install_version("ScatterDensity", "0.0.4")



Attach the package and use:
library("ScatterDensity")
Maintained by
Michael Thrun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-29
Latest Update: 2023-10-09
Description:
The user has the option to utilize the two-dimensional density estimation techniques called smoothed density published by Eilers and Goeman (2004) , and pareto density which was evaluated for univariate data by Thrun, Gehlert and Ultsch, 2020 . 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) .
How to cite:
Michael Thrun (2023). ScatterDensity: Density Estimation and Visualization of 2D Scatter Plots. R package version 0.0.4, https://cran.r-project.org/web/packages/ScatterDensity. Accessed 12 Nov. 2024.
Previous versions and publish date:
0.0.1 (2023-05-29 21:10), 0.0.3 (2023-07-18 17:50)
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