ilt {compositions} | R Documentation

## Isometric log transform

### Description

Compute the isometric log transform of a vector (dataset) of amounts and its inverse.

### Usage

              ilt( x ,...)
              ilt.inv( z ,... )

### Arguments

`x` | a vector or data matrix of amounts
`z` | the ilt-transform of a vector or data matrix of ilt-transforms of amounts
`...` | generic arguments, not used.

### Details

The ilt-transform maps D amounts (considered in log geometry) isometrically to a D dimensional euclidean vector. The `ilt` is part of the `aplus` framework.
The data can then be analysed in this transformation by all classical multivariate analysis tools. The interpretation of the results is easy since the relation to the original variables is preserved.

The isometric log transform is given by

ilt(x)_i := ln x_i

### Value

`ilt` gives the isometric log transform, i.e. simply the log of the argument, whereas `ilt.inv` gives amounts with the given ilt, i.e. simply the exp of the argument.

### Author(s)

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

### References

### See Also

`ilr`, `iit`, `aplus`

### Examples

    (tmp <- ilt(c(1,2,3)))
    ilt.inv(tmp)
    ilt.inv(tmp) - c(1,2,3) # 0
    data(Hydrochem)
    cdata <- Hydrochem[,6:19]
    pairs(ilt(cdata))

[Package compositions version 0.91-6 Index]