| cor {ggESDA} | 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_tbl'
cor(x, ...)
## S3 method for class 'symbolic_interval'
cor(x, y, method = c("centers", "B", "BD", "BG"), ...)
Arguments
| x | First symbolic variables. | 
| ... | As in R cor function. | 
| y | Second symbolic variables. | 
| use | an optional character string giving a method for computing correlation 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.
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 ggESDA version 0.2.0 Index]