ExtKurBiv {Kurt} | R Documentation |
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 |
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
[Package Kurt version 1.1 Index]