var: Symbolic Variance

In PROMiDAT/RSDA: R to Symbolic Data Analysis

Symbolic Variance

Description

Compute the symbolic variance.

Usage

var(x, ...)

## Default S3 method:
var(x, y = NULL, na.rm = FALSE, use, ...)

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

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

Arguments

x	A symbolic interval.
...	As in R median function.
y	NULL (default) or a vector, matrix or data frame with compatible dimensions to x. The default is equivalent to y = x (but more efficient).
na.rm	logical. Should missing values be removed?
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.

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.

PROMiDAT/RSDA documentation built on Sept. 14, 2023, 9:16 p.m.