KurtosisModuleCoefficient3D: Calculation of the kurtosis coefficient of the modules in 3D
In VecStatGraphs3D: Vector analysis using graphical and analytical methods in 3D

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

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

1	KurtosisModuleCoefficient3D(modules)

modules

Vector containing the values of the modules

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.

The value of the kurtosis coefficient of all input modules

Felicisimo, A.M., amfeli@unex.es, Ruiz-Cuetos, J.C., bilba_t@hotmail.com, Polo, M.E., mepolo@unex.es, Cuartero, A., acuartero@unex.es, Rodriguez, P.G. pablogr@unex.es

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

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

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