ExtKurBiv: ExtKurBiv: kurtosis-based projection pursuit for bivariate...

In Kurt: Performs Kurtosis-Based Statistical Analyses

Description

Returns a projection of bivariate data with either maximal or minimal kurtosis.

Usage

ExtKurBiv(data, maxmin)

Arguments

data	data matrix
maxmin	choice between maximal ("MAX") and minimal ("MIN") kurtosis

Value

linearMAX	coefficients of the projections maximising kurtosis
projectionMAX	projection with maximal kurtosis
kurtMAX	maximal kurtosis
linearMIN	coefficients of the projections minimising kurtosis
projectionMIN	projection with minimal kurtosis
kurtMIN	minimal kurtosis

Author(s)

Cinzia Franceschini and Nicola Loperfido

Examples

data(iris)
iris<-data.matrix(iris)#returns the matrix obtained by converting the data frame to numeric mode

ExtKurBiv(iris[,1:2],"MAX")# returns a projection of bivariate data with maximal kurtosis 

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