RSDA (version 2.0.8)

sym.cov: Symbolic Covariance

Description

This function compute the symbolic covariance.

Usage

sym.cov(sym.var.x, sym.var.y, method = c('centers', 'interval', 'billard', 'modal'),
na.rm = FALSE, ...)

Arguments

sym.var.x

First symbolic variables.

sym.var.y

Second symbolic variables.

method

The method to be use.

na.rm

As in R cov function.

...

As in R cov function.

Value

Return a real number.

References

Billard L. and Diday E. (2006). Symbolic data analysis: Conceptual statistics and data mining. Wiley, Chichester.

Rodriguez, O. (2000). Classification et Modeles Lineaires en Analyse des Donnees Symboliques. Ph.D. Thesis, Paris IX-Dauphine University.

Examples

# NOT RUN {
data(example3)
sym.data<-example3
sym.cov(sym.var(sym.data,1),sym.var(sym.data,4),method='centers')
sym.cov(sym.var(sym.data,2),sym.var(sym.data,6),method='centers')
sym.cov(sym.var(sym.data,2),sym.var(sym.data,6),method='billard')

# }