KurtosisModuleCoefficient: Calculation of the kurtosis coefficient of the modules

In VecStatGraphs2D: Vector Analysis using Graphical and Analytical Methods in 2D

Description

This function calculates the kurtosis coefficient, which characterizes the shape of the distribution from a set of input modules.

Usage

KurtosisModuleCoefficient(modules)

Arguments

modules

Vector containing the values of the modules

Details

One way to obtain a set of modules from X and Y coordinates of the vectors is to use the LoadData function.

The kurtosis coefficient is a measure of whether the data are flat or peaked relative to the normal distribution.

Value

The value of the kurtosis coefficient of all input modules

Author(s)

Ruiz-Cuetos, J.C., [e-mail], Felicisimo, A.M., [e-mail], Cuartero, A., [e-mail], Polo, M.E., [e-mail], Rodriguez, P.G. [e-mail]

References

Website http://gim.unex.es/VecStatGraphs2D/

See Also

ArithmeticMean, StandardError, ModuleStandardDeviation, ModuleVariance, ModulePopulationVariance, ModulePopulationStandardDeviation, SkewnessModuleCoefficient, AllModuleStatistics.

Examples

   FileName<-system.file("data/RectangularData.txt", package="VecStatGraphs2D")
   dat<-LoadData(FileName, Type=2)
   modules<-dat[,1]
   KurtosisModuleCoefficient(modules)

VecStatGraphs2D documentation built on May 2, 2019, 12:36 p.m.