KurtosisModuleCoefficient: Calculation of the kurtosis coefficient of the modules

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

View source: R/KurtosisModuleCoefficient.R

Description

This function calculates the kurtosis coefficient, 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 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., [email protected], Felicisimo, A.M., [email protected], Cuartero, A., [email protected], Polo, M.E., [email protected], Rodriguez, P.G. [email protected]

References

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

See Also

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

Examples

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

VecStatGraphs2D documentation built on May 30, 2017, 3:38 a.m.