KurtosisModuleCoefficient3D: Calculation of the kurtosis coefficient of the modules in 3D

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/KurtosisModuleCoefficient3D.R

Description

This function calculates the kurtosis coefficient of the modules in 3D, which characterizes the shape of the distribution from a set of input modules.

Usage

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Arguments

modules

Vector containing the values of the modules

Details

One way to obtain a set of modules from X, Y and Z coordinates of the vectors is to use the LoadData3D 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)

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

References

Website http://gim.unex.es/VecStatGraphs3D/

See Also

ArithmeticMean3D, StandardError3D, ModuleStandardDeviation3D, ModuleVariance3D, ModulePopulationVariance3D, ModulePopulationStandardDeviation3D, SkewnessModuleCoefficient3D, AllModuleStatistics3D.

Examples

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   FileName<-system.file("data/XYZcoor.txt", package="VecStatGraphs3D")
   dat<-LoadData3D(FileName, Type=1)
   modules<-dat[,1]
   KurtosisModuleCoefficient3D(modules)

VecStatGraphs3D documentation built on May 29, 2017, 10:51 a.m.