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
.
1 2 3 4 | FileName<-system.file("data/XYZcoor.txt", package="VecStatGraphs3D")
dat<-LoadData3D(FileName, Type=1)
modules<-dat[,1]
KurtosisModuleCoefficient3D(modules)
|
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