R: Marginal compositions in real geometry

rcompmargin {compositions} | R Documentation

## Marginal compositions in real geometry

### Description

Compute marginal compositions by amalgamating the rest (additively).

### Usage

              rcompmargin(X,d=c(1,2),name="+",pos=length(d)+1,what="data")

### Arguments

`X` | composition or dataset of compositions
`d` | vector containing the indices xor names of the columns to be kept
`name` | The new name of the amalgamation column
`pos` | The position where the new amalgamation column should be stored. This defaults to the last column.
`what` | The role of X either `"data"` for data (or means) to be transformed or `"var"` for variances to be transformed.

### Details

The amalgamation column is simply computed by adding the non-selected components after closing the composition. This is consistent with the `rcomp` approach and is widely used because of its easy interpretation. However, it often leads to difficult-to-read ternary diagrams and is inconsistent with the `acomp` approach.

With the argument `what="var"` the function transformes an rcomp variance to the resulting variance of the resulting composition.

### Value

A closed compositions with class `"rcomp"` containing the selected variables given by `d` and the the amalgamation column.

### Missing Policy

MNAR has the highest priority, MAR next and WZERO (BDL,SZ),- values are considered as 0 and reported as BDL in the End.

### Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de, Raimon olosana-Delgado

### References

References missing

### See Also

`acompmargin`, `rcomp`

### Examples

    data(SimulatedAmounts)
    plot.rcomp(sa.tnormals5,margin="rcomp")
    plot.rcomp(rcompmargin(sa.tnormals5,c("Cd","Zn")))
    plot.rcomp(rcompmargin(sa.tnormals5,c(1,2)))

[Package compositions version 2.0-4 Index]