Kurt (version 1.1)

ExtKurBiv: ExtKurBiv: kurtosis-based projection pursuit for bivariate random vectors

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

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Examples

# NOT RUN {
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 
# }