DataVisualizations (version 1.0.0)

InspectVariable: Visualization of Distribution of one variable

Description

Enables distribution inspection by visualization as described in [Thrun, 2018] and for example used in

Usage

InspectVariable(Feature, N = "Feature", i = 1, xlim, ylim,
 sampleSize =1e+05, main)

Arguments

Feature

[1:n] Variable/Vector of Data to be plotted

N

Optional, string, for x label

i

Optional, No. of variable/feature, an integer of the for lope

xlim

[2] Optional, range of x-axis for PDEplot

ylim

[2] Optional, range of y-axis for PDEplot

sampleSize

Optional, default(100000), sample size, if datavector is to big

main

string for the title if other than what is desribed in N

References

[Thrun, 2018] Thrun, M. C.: Projection Based Clustering through Self-Organization and Swarm Intelligence, doctoral dissertation 2017, Springer, ISBN: 978-3-658-20539-3, Heidelberg, 2018.

[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

# NOT RUN {
data("ITS")
InspectVariable(ITS,N='Income in EUR',main='ITS')
# }