NoKurt {Kurt}

NoKurt: data projections whose excess kurtosis is as close to zero as possible

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