alr {compositions} | R Documentation |

## Additive log ratio transform

### Description

Compute the additive log ratio transform of a (dataset of) composition(s), and its inverse.

### Usage

```
alr( x ,ivar=ncol(x), ... )
alrInv( z, ...,orig=gsi.orig(z))
```

### Arguments

`x` |
a composition, not necessarily closed |

`z` |
the alr-transform of a composition, thus a (D-1)-dimensional real vector |

`...` |
generic arguments. not used. |

`orig` |
a compositional object which should be mimicked by the inverse transformation. It is especially used to reconstruct the names of the parts. |

`ivar` |
The column to be used as denominator variable. Unfortunately not yet supported in alrInv. The default works even if x is a vector. |

### Details

The alr-transform maps a composition in the D-part Aitchison-simplex
non-isometrically to a D-1 dimensonal euclidian vector, treating the
last part as common denominator of the others. The data can then
be analysed in this transformation by all classical multivariate
analysis tools not relying on a distance. The interpretation of
the results is relatively simple, since the relation to the original D-1
first parts is preserved. However distance is an extremely relevant
concept in most types of analysis, where a `clr`

or
`ilr`

transformation should be preferred.

The additive logratio transform is given by

` alr(x)_i := \ln\frac{x_i}{x_D} `

.

### Value

`alr`

gives the additive log ratio transform; accepts a compositional dataset
`alrInv`

gives a closed composition with the given alr-transform; accepts a dataset

### Author(s)

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

### References

Aitchison, J. (1986) *The Statistical Analysis of Compositional
Data* Monographs on Statistics and Applied Probability. Chapman &
Hall Ltd., London (UK). 416p.

### See Also

`clr`

,`ilr`

,`apt`

,
https://ima.udg.edu/Activitats/CoDaWork03/

### Examples

```
(tmp <- alr(c(1,2,3)))
alrInv(tmp)
unclass(alrInv(tmp)) - clo(c(1,2,3)) # 0
data(Hydrochem)
cdata <- Hydrochem[,6:19]
pairs(alr(cdata),pch=".")
```

*compositions*version 2.0-8 Index]