cor.acomp {compositions}

Correlations of amounts and compositions

Description

Computes the correlation matrix in the various approaches of compositional and amount data analysis.

Usage

          cor(x,y=NULL,...)
          ## Default S3 method:
cor(x, y=NULL, use="everything", 
                       method=c("pearson", "kendall", "spearman"),...)
          ## S3 method for class 'acomp'
cor(x,y=NULL,...,robust=getOption("robust"))
          ## S3 method for class 'rcomp'
cor(x,y=NULL,...,robust=getOption("robust"))
          ## S3 method for class 'aplus'
cor(x,y=NULL,...,robust=getOption("robust"))
          ## S3 method for class 'rplus'
cor(x,y=NULL,...,robust=getOption("robust"))
          ## S3 method for class 'rmult'
cor(x,y=NULL,...,robust=getOption("robust"))
          

Arguments

x

a data set, eventually of amounts or compositions

y

a second data set, eventually of amounts or compositions

use

see cor

method

see cor

...

further arguments to cor e.g. use

robust

A description of a robust estimator. FALSE for the classical estimators. See mean.acomp for further details.

Details

The correlation matrix does not make much sense for compositions.

In R versions older than v2.0.0, cor was defined in package “base” instead of in “stats”. This might produce some misfunction.

Value

The correlation matrix.

Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

See Also

var.acomp

Examples

data(SimulatedAmounts)
meanCol(sa.lognormals)
cor(acomp(sa.lognormals5[,1:3]),acomp(sa.lognormals5[,4:5]))
cor(rcomp(sa.lognormals5[,1:3]),rcomp(sa.lognormals5[,4:5]))
cor(aplus(sa.lognormals5[,1:3]),aplus(sa.lognormals5[,4:5]))
cor(rplus(sa.lognormals5[,1:3]),rplus(sa.lognormals5[,4:5]))
cor(acomp(sa.lognormals5[,1:3]),aplus(sa.lognormals5[,4:5]))