DataVisualizations (version 1.3.3)

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, Name, i = 1, xlim, ylim,
 sampleSize =1e+05, main)

Arguments

Feature

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

Name

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 and histogram

ylim

[2] Optional, range of y-axis, only 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

Author

Michael Thrun

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, in Papiez, M. & Smiech,, S. (eds.), Proc. 12th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena, pp. 533-542, Cracow: Foundation of the Cracow University of Economics, Cracow, Poland, 2018.

Examples

# \dontshow{
data("ITS")
# sampling is online done
# because otherwise the example takes too long
# in the CRAN check
ind=sample(length(ITS),1000)

InspectVariable(ITS[ind],Name='Income in EUR',main='ITS')
# }
# \donttest{
data("ITS")
InspectVariable(ITS,Name='Income in EUR',main='ITS')
# }