DataVisualizations (version 1.1.1)

PDEviolinPlot: PDE optimized violoin plot for multiple variables

Description

This function creates a PDE optimized violin plot for each variable of the data matrix. Each boxplot also has a point for the mean of the variable.

Usage

PDEviolinPlot(Data, Names)

Arguments

Data

Matrix containing the data. Each column is one variable.

Names

Optional: Names of the variables. If missing the columnnames of data are used.

Value

The ggplot object of the boxplots

Details

Published in [Thrun et al.,2018] for the evaluation of stochastic clustering methods and used in [Thrun et al.,2018a] in order to simultaneously estimate variances of a high-dimensional data set.

References

[Thrun et al.,2018a] Thrun, M. C., Breuer, L., & Ultsch, A. : Knowledge discovery from low-frequency stream nitrate concentrations: hydrology and biology contributions, Proc. European Conference on Data Analysis (ECDA), accepted, Paderborn, Germany, 2018.

[Thrun et al.,2018b] Thrun, M. C., Pape, F., & Ultsch, A. : Benchmarking Cluster Analysis Methods using PDE-Optimized Violin Plots, Proc. European Conference on Data Analysis (ECDA), accepted, Paderborn, Germany, 2018.

Examples

# NOT RUN {
x <- cbind(A = rnorm(200, 1, 3), B = rnorm(100, -2, 5))
PDEviolinPlot(x)
# }