compositions (version 2.0-4)

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

Value

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

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

Author

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")))