compositions (version 0.9-11)

acompmargin: Marginal compositions in Aitchison Compositions

Description

Compute marginal compositions of selected parts, by computing the rest as the geometric mean of the non-selected parts.

Usage

acompmargin(X,d=c(1,2),name="*",pos=length(d)+1)

Arguments

X

composition or dataset of compositions

d

vector containing the indices xor names of the columns selected

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.

Value

• A closed compositions with class "acomp" containing the variables given by d and the the amalgamation column.

Details

The amalgamation column is simply computed by taking the geometric mean of the non-selected components. This is consistent with the acomp approach and gives clear ternary diagrams. However, this geometric mean is difficult to interpret.

References

Vera Pawlowsky-Glahn (2003) personal communication. Seminaris d'Estad�stica, Departament d'Inform�tica i Matem�tica Aplicada, Universitat de Girona.

See Also

rcompmargin, acomp

Examples

data(SimulatedAmounts)
plot.acomp(sa.lognormals5,margin="acomp")
plot.acomp(acompmargin(sa.lognormals5,c("Pb","Zn")))
plot.acomp(acompmargin(sa.lognormals5,c(1,2)))