VecStatGraphs2D (version 1.8)

KurtosisModuleCoefficient: Calculation of the kurtosis coefficient of the modules

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

Value

The value of the kurtosis coefficient of all input 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.

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)