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RSDA (version 1.1)

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", "histogram"), 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

Run this code
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')

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