Symbolic Variance
Compute the symbolic variance.
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, ...)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. |
Oldemar Rodriguez Rojas
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.
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