cor.acomp {compositions} R Documentation

## 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

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]))


[Package compositions version 2.0-8 Index]