ternaryDiagEllipse

Low-level plot function which add tolerance ellipses to a high-level plot of
a ternary diagram.

aplot

Methods for analysis of compositional data including robust
methods (<doi:10.1007/978-3-319-96422-5>), imputation of missing values (<doi:10.1016/j.csda.2009.11.023>), methods to replace
rounded zeros (<doi:10.1080/02664763.2017.1410524>, <doi:10.1016/j.chemolab.2016.04.011>, <doi:10.1016/j.csda.2012.02.012>),
count zeros (<doi:10.1177/1471082X14535524>),
methods to deal with essential zeros (<doi:10.1080/02664763.2016.1182135>), (robust) outlier
detection for compositional data, (robust) principal component analysis for
compositional data, (robust) factor analysis for compositional data, (robust)
discriminant analysis for compositional data (Fisher rule), robust regression
with compositional predictors, functional data analysis (<doi:10.1016/j.csda.2015.07.007>) and p-splines (<doi:10.1016/j.csda.2015.07.007>),
contingency (<doi:10.1080/03610926.2013.824980>)
and compositional tables (<doi:10.1111/sjos.12326>, <doi:10.1111/sjos.12223>, <doi:10.1080/02664763.2013.856871>)
and (robust) Anderson-Darling normality tests for
compositional data as well as popular log-ratio transformations (addLR, cenLR,
isomLR, and their inverse transformations). In addition, visualisation and
diagnostic tools are implemented as well as high and low-level plot functions
for the ternary diagram.

Matthias Templ

robCompositions

Compositional Data Analysis

Karel Hron

Peter Filzmoser

Kamila Facevicova

Petra Kynclova

Jan Walach

Veronika Pintar

Jiajia Chen

Dominika Miksova

Bernhard Meindl

Alessandra Menafoglio

Alessia Di Blasi

Federico Pavone

Nikola Stefelova

Gianluca Zeni

Roman Wiederkehr

ternaryDiagEllipse function

<dl><dt>x</dt>
<dd>Three-part composition. Object of class &#8220;matrix&#8221; or
&#8220;data.frame&#8221;.</dd>
<dt>tolerance</dt>
<dd>Determines the amount of observations with Mahalanobis
distance larger than the drawn ellipse, scaled to one.</dd>
<dt>locscatt</dt>
<dd>Method for estimating the mean and covariance.</dd>
<dt>...</dt>
<dd>Additional arguments passed trough.</dd></dl>

Arguments

Author

Adds tolerance ellipses to a ternary diagram. — ternaryDiagEllipse

<dl>

<dt>x</dt>
<dd>Three-part composition. Object of class &#8220;matrix&#8221; or
&#8220;data.frame&#8221;.</dd>


<dt>tolerance</dt>
<dd>Determines the amount of observations with Mahalanobis
distance larger than the drawn ellipse, scaled to one.</dd>


<dt>locscatt</dt>
<dd>Method for estimating the mean and covariance.</dd>


<dt>...</dt>
<dd>Additional arguments passed trough.</dd>

</dl>

Adds tolerance ellipses to a ternary diagram.

ternaryDiagEllipse: Adds tolerance ellipses to a ternary diagram.

Description

Usage

Value

Arguments

Author

See Also

Examples