gsi.margin {compositions} | R Documentation

## Internal function: Compute a desired compositional margin

### Description

This generic function should select the selected type of margin based on the class of the dataset and the specified margin type.

### Usage

    gsi.margin(X,...)
    ## S3 method for class 'acomp':
    gsi.margin(X,what,...,margin="acomp")
    ## S3 method for class 'rcomp':
    gsi.margin(X,what,...,margin="rcomp")
    ## S3 method for class 'aplus':
    gsi.margin(X,what,...)
    ## S3 method for class 'rplus':
    gsi.margin(X,what,...)

### Arguments

`X` | The dataset to take the margin from.
`what` | The indices xor column names to be kept.
`margin` | The type of marginalisation to be used. Possible values are: '"sub"', '"rcomp"', '"acomp"' and an index xor a name of a variable in the dataset.
`...` | other arguments

### Details

### Value

A marginalized dataset (or vector) still containing the variables given by `what` and optionally one additional part named '"+"', '"*"' or margin.

### Note

Do not use gsi.* functions directly since they are internal functions of the package

### Author(s)

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

### See Also

`gsi`

### Examples

    data(SimulatedAmounts)
    plot(gsi.margin(acomp(sa.lognormals5),c("Cd","Cu")))

[Package compositions version 0.91-6 Index]