cor {RSDA} | R Documentation |
Generic function for the correlation
Description
This function compute the symbolic correlation
Usage
cor(x, ...)
## Default S3 method:
cor(
x,
y = NULL,
use = "everything",
method = c("pearson", "kendall", "spearman"),
...
)
## S3 method for class 'symbolic_interval'
cor(x, y, method = c("centers", "billard"), ...)
## S3 method for class 'symbolic_tbl'
cor(x, ...)
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].
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.
[Package RSDA version 3.2.1 Index]