gsi.plotmargin

Internal function to compute 2D marginal compositions for plots

internal

gsiplotmargin

Provides functions for the consistent analysis of compositional
data (e.g. portions of substances) and positive numbers (e.g. concentrations)
in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.

K Gerald van den Boogaart

compositions

Compositional Data Analysis

gsiplotmargin function

<dl> <dt>X</dt>
<dd>a multivariate compositional dataset</dd> <dt>d</dt>
<dd>a numeric or character vector of two elements specifying the
 parts to be kept in the marginalization process</dd> <dt>margin</dt>
<dd>a character specifying the type of margin to be
 chosen. Possible values are "acomp", "rcomp" or a column name from
 the dataset.</dd> <dt>what</dt>
<dd>simply here to avoid an error if the argument is passed.</dd></dl>

Arguments

K.Gerald v.d. Boogaart <a href="http://www.stat.boogaart.de">http://www.stat.boogaart.de</a>, Raimon
Tolosana-Delgado

Author

Internal functions of the compositions package — gsiplotmargin

<dl>

 <dt>X</dt>
<dd>a multivariate compositional dataset</dd>

 <dt>d</dt>
<dd>a numeric or character vector of two elements specifying the
 parts to be kept in the marginalization process</dd>

 <dt>margin</dt>
<dd>a character specifying the type of margin to be
 chosen. Possible values are "acomp", "rcomp" or a column name from
 the dataset.</dd>

 <dt>what</dt>
<dd>simply here to avoid an error if the argument is passed.</dd>

</dl>

K.Gerald v.d. Boogaart <a href='http://www.stat.boogaart.de'>http://www.stat.boogaart.de</a>, Raimon
Tolosana-Delgado

gsiplotmargin: Internal functions of the compositions package

Description

Usage

Value

Arguments

Author

See Also