R: Correlations of amounts and compositions

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

### 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]))

[Package compositions version 1.40-5 Index]