| ScatterDensity-package {ScatterDensity} | R Documentation |
Density Estimation and Visualization of 2D Scatter Plots
Description
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>.
Details
The DESCRIPTION file:
| Package: | ScatterDensity |
| Type: | Package |
| Title: | Density Estimation and Visualization of 2D Scatter Plots |
| Version: | 0.0.4 |
| Date: | 2023-10-09 |
| Authors@R: | c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre","cph"), comment = c(ORCID = "0000-0001-9542-5543")),person("Felix", "Pape",role=c("aut","rev")),person("Luca","Brinkman",role=c("aut")),person("Quirin", "Stier",role=c("aut"), comment = c(ORCID = "0000-0002-7896-4737"))) |
| Maintainer: | Michael Thrun <m.thrun@gmx.net> |
| Description: | 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>. |
| LazyLoad: | yes |
| Imports: | Rcpp, pracma |
| Suggests: | DataVisualizations, ggplot2, ggExtra, plotly, FCPS, parallelDist, secr, ClusterR |
| Depends: | methods, R (>= 2.10) |
| LinkingTo: | Rcpp, RcppArmadillo |
| NeedsCompilation: | yes |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| URL: | https://www.deepbionics.org/ |
| BugReports: | https://github.com/Mthrun/ScatterDensity/issues |
| 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>) |
| Archs: | x64 |
Index of help topics:
DDCAL Density Distribution Cluster Algorithm of [Lux
and Rinderle-Ma, 2023].
DensityScatter.DDCAL Scatter density plot [Brinkmann et al., 2023]
PDEscatter Scatter Density Plot
PointsInPolygon PointsInPolygon
PolygonGate PolygonGate
ScatterDensity-package
Density Estimation and Visualization of 2D
Scatter Plots
SmoothedDensitiesXY Smoothed Densities X with Y
inPSphere2D 2D data points in Pareto Sphere
Author(s)
NA
Maintainer: Michael Thrun <m.thrun@gmx.net>
Examples
#Todo