dcor: Correlation Distance

In ICGE: Estimation of Number of Clusters and Identification of Atypical Units

Correlation Distance

Description

dcor computes and returns the Correlation distance matrix between the rows of a data matrix. This distance is defined by d=√{1-r}.

Usage

dcor(x)

Arguments

x	a numeric matrix.

Value

A dist object with distance information.

Author(s)

Itziar Irigoien [e-mail]; Konputazio Zientziak eta Adimen Artifiziala, Euskal Herriko Unibertsitatea (UPV-EHU), Donostia, Spain.

Conchita Arenas [e-mail]; Departament d'Estadistica, Universitat de Barcelona, Barcelona, Spain.

References

Gower, J.C. (1985). Measures of similarity, dissimilarity and distance. In: Encyclopedia of Statistical Sciences, volume 5, 397–405. J. Wiley and Sons.

See Also

dist, dmahal, dgower, dbhatta, dproc2

Examples

#Generate 10 objects in dimension 8
n <- 10
mu <- sample(1:10, 8, replace=TRUE)
x <- matrix(rnorm(n*8, mean=mu, sd=1), nrow=n, byrow=TRUE)


# Correlation distances between pairs 
d <- dcor(x)

ICGE documentation built on Oct. 17, 2022, 5:10 p.m.