compositions (version 1.01-1)

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

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

Value

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

See Also

gsi

Examples

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