NoKurt: NoKurt: data projections whose excess kurtosis is as close to...

In Kurt: Performs Kurtosis-Based Statistical Analyses

Description

Data projections whose excess kurtosis is as close to zero as possible. Excess kurtosis is the fourth standardized cumulant , that is the fourth standardized moment minus three.

Usage

NoKurt(data, number)

Arguments

data	data matrix
number	number of required projections. It must be greater than one and less than the number of variables

Value

Nkurtoses	kurtoses of Nprojections
Nprojections	data projections ordered according to the absolute values of their excess kurtoses
MATRIX	matrix characterizing the projection

Author(s)

Cinzia Franceschini and Nicola Loperfido

Examples

data(iris)
iris<-data.matrix(iris[,1:4])
NoKurt(iris[,1:4],3)#returns data projections whose excess kurtosis is as close to zero as possible

Kurt documentation built on Sept. 20, 2021, 5:17 p.m.