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 itziar.irigoien@ehu.es; Konputazio Zientziak eta Adimen Artifiziala, Euskal Herriko Unibertsitatea (UPV-EHU), Donostia, Spain.
Conchita Arenas carenas@ub.edu; 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)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(ICGE)
Loading required package: MASS
Loading required package: cluster
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ICGE/dcor.Rd_%03d_medium.png", width=480, height=480)
> ### Name: dcor
> ### Title: Correlation Distance
> ### Aliases: dcor
> ### Keywords: multivariate
>
> ### ** 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)
>
>
>
>
>
> dev.off()
null device
1
>