InspectCorrelation: Inspect the Correlation

In Mthrun/DataVisualizations: Visualizations of High-Dimensional Data

Inspect the Correlation

Description

Inspects the correlation between two given features using density scatter plots.

Usage

InspectCorrelation(X, Y, DensityEstimation = "SDH",

CorMethod = "spearman", na.rm = TRUE,

SampleSize = round(sqrt(5e+08), -3),

NrOfContourLines = 20, Plotter = "native",

DrawTopView = T, xlab, ylab,

main = "Spearman correlation coef.:", xlim, ylim, 

Legendlab_ggplot = "value", ...)

Arguments

X	Numeric vector [1:n], first feature (for x axis values)
Y	Numeric vector [1:n], second feature (for y axis values)
DensityEstimation	"SDH" is very fast but maybe not correct, "PDE" is slow but proably more correct.
CorMethod	method of correlation of the cor function, One of "pearson" (default), "kendall", or "spearman
SampleSize	Numeric, positiv scalar, maximum size of the sample used for calculation. High values increase runtime significantly. The default is that no sample is drawn
na.rm	Function may not work with non finite values. If these cases should be automatically removed, set parameter TRUE
NrOfContourLines	Numeric, number of contour lines to be drawn. 20 by default.
Plotter	String, name of the plotting backend to use. Possible values are: "native", "ggplot", "plotly"
DrawTopView	Boolean, True means contur is drawn, otherwise a 3D plot is drawn. Default: TRUE
xlab	String, title of the x axis. Default: "X", see plot() function
ylab	String, title of the y axis. Default: "Y", see plot() function
main	string, the same as "main" in plot() function
xlim	see plot() function
ylim	see plot() function
Legendlab_ggplot	String, in case of Plotter="ggplot" label for the legend. Default: "value"
...	Density specifc parameters, for PDEscatter() or SDH (nbins,lambda,Xkernels,Ykernel))

Details

Example shows that features with high correlation coefficient do not correlate because of bimodality.

Value

plotting handler

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, 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.

See Also

DensityScatter

Examples

data(ITS)
data(MTY)
Inds=which(ITS<900&MTY<8000)

InspectCorrelation(ITS[Inds],MTY[Inds])

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