KurtosisModuleCoefficient: Calculation of the kurtosis coefficient of the modules

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

Description

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

Usage

1

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., jcruizcue@gmail.com, Felicisimo, A.M., amfeli@unex.es, Cuartero, A., acuartero@unex.es, Polo, M.E., mepolo@unex.es, Rodriguez, P.G. pablogr@unex.es

References

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

See Also

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

Examples

1
2
3
4
   FileName<-system.file("data/RectangularData.txt", package="VecStatGraphs2D")
   dat<-LoadData(FileName, Type=2)
   modules<-dat[,1]
   KurtosisModuleCoefficient(modules)


Search within the VecStatGraphs2D package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.