acompmargin | R Documentation |
Compute marginal compositions of selected parts, by computing the rest as the geometric mean of the non-selected parts.
acompmargin(X,d=c(1,2),name="*",pos=length(d)+1,what="data")
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. |
what |
The role of X either |
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.
A closed compositions with class "acomp"
containing the
variables given by d
and the the amalgamation column.
MNAR has the highest priority, MAR afterwards, and WZERO (BDL,SZ) values are considered as 0 and finally reported as BDL.
Raimon Tolosana-Delgado, K.Gerald v.d. Boogaart http://www.stat.boogaart.de
Vera Pawlowsky-Glahn (2003) personal communication. Universitat de Girona.
van den Boogaart, K.G. and R. Tolosana-Delgado (2008) "compositions": a unified R package to analyze Compositional Data, Computers & Geosciences, 34 (4), pages 320-338, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.cageo.2006.11.017")}.
rcompmargin
, acomp
data(SimulatedAmounts)
plot.acomp(sa.lognormals5,margin="acomp")
plot.acomp(acompmargin(sa.lognormals5,c("Pb","Zn")))
plot.acomp(acompmargin(sa.lognormals5,c(1,2)))
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