InspectScatterplots: Pairwise scatterplots and optimal histograms

In Mthrun/DataVisualizations: Visualizations of High-Dimensional Data

Pairwise scatterplots and optimal histograms

Description

Pairwise scatterplots and optimal histograms of all features stored as columns of data are plotted

Usage

InspectScatterplots(Data,Names=colnames(Data))

Arguments

Data	[1:n,1:d] Data cases in rows (n), variables in columns (d)
Names	Optional: Names of the variables. If missing the columnnames of data are used.

Details

For two features, PDEscatter function should be used to isnpect modalities [Thrun/Ultsch, 2018]. For many features the function takes too lang. In such a case this function can be used. See [Thrun/Ultsch, 2018] for optimal histogram description.

Author(s)

Michael Thrun

References

[Thrun/Ultsch, 2018] Thrun, M. C., & Ultsch, A.: Effects of the payout system of income taxes to municipalities in Germany, 12th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena, Vol. accepted, Foundation of the Cracow University of Economics, Zakopane, Poland, 2018.

Examples

Data=cbind(rnorm(100, mean = 2, sd = 3  ),rnorm(100,mean = 0, sd = 1),rnorm(100,mean = 6, sd = 0.5))
#InspectScatterplots(Data)

Mthrun/DataVisualizations documentation built on Jan. 16, 2024, 1:01 a.m.