RSDA (version 1.4)

cor: Generic function for the correlation

Description

This function compute the symbolic correlation

Usage

cor(x, ...)
# S3 method for default
cor(x, y = NULL, use = "everything",
  method = c("pearson", "kendall", "spearman"), ...)
# S3 method for sym.data.table
cor(x, y, method = c("centers", "interval",
  "billard", "modal"), ...)

Arguments

x

A symbolic variable.

...

As in R cor function.

y

A symbolic variable.

use

an optional character string giving a method for computing covariances in the presence of missing values. This must be (an abbreviation of) one of the strings "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs".

method

The method to be use.

Value

Return a real number in [-1,1].

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

data(example3)
sym.data <- example3
cor(sym.data[,1], sym.data[,4], method='centers')
cor(sym.data[,2], sym.data[,6], method='centers')
cor(sym.data[,2], sym.data[,6], method='billard')