inPSphere2D

This function determines the 2D data points inside a ParetoSphere with ParetoRadius.

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>.

Michael Thrun

ScatterDensity

Density Estimation and Visualization of 2D Scatter Plots

Felix Pape

Luca Brinkman

Quirin Stier

inPSphere2D function

<dl> <dt>data</dt>
<dd>numeric matrix of data.</dd> <dt>paretoRadius</dt>
<dd>numeric value. radius of P-spheres. If not given, calculate by the function 'paretoRad'</dd> <dt>Compute</dt>
<dd>Either <code>Cpp</code> or <code>Parallel</code>, defines if multicore computation should be performed</dd></dl>

Arguments

Author

2D data points in Pareto Sphere — inPSphere2D

<dl>

 <dt>data</dt>
<dd>numeric matrix of data.</dd>

 <dt>paretoRadius</dt>
<dd>numeric value. radius of P-spheres. If not given, calculate by the function 'paretoRad'</dd>

 <dt>Compute</dt>
<dd>Either <code>Cpp</code> or <code>Parallel</code>, defines if multicore computation should be performed</dd>

</dl>

inPSphere2D: 2D data points in Pareto Sphere

Description

Usage

Value

Arguments

Author