cov: Generic function for the covariance

In RSDA: R to Symbolic Data Analysis

Generic function for the covariance

Description

This function compute the symbolic covariance.

Usage

cov(x, ...)

## Default S3 method:
cov(
  x,
  y = NULL,
  use = "everything",
  method = c("pearson", "kendall", "spearman"),
  ...
)

## S3 method for class 'symbolic_interval'
cov(x, y, method = c("centers", "billard"), na.rm = FALSE, ...)

## S3 method for class 'symbolic_tbl'
cov(x, ...)

Arguments

x	First symbolic variables.
...	As in R cov function.
y	Second symbolic variables.
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.
na.rm	As in R cov function.

Value

Return a real number.

Author(s)

Oldemar Rodriguez Rojas

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.

RSDA documentation built on Nov. 10, 2023, 5:06 p.m.