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RSDA (version 3.2.1)

var: Symbolic Variance

Description

Compute the symbolic variance.

Usage

var(x, ...)

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

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

# S3 method for 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

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.