compareMahal

getEstimates

print.estimates

plot.estimates

plot.mahal

Mahalanobis distances are calculated for each zero pattern.
Two approaches are used. The first one estimates Mahalanobis distance for observations belonging to one each zero pattern each.
The second method uses a more sophisticated approach described below.

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

compareMahal function

<dl><dt>x</dt>
<dd>data frame or matrix</dd>
<dt>imp</dt>
<dd>imputation method</dd>
<dt>y</dt>
<dd>unused second argument for the plot method</dd>
<dt>...</dt>
<dd>additional arguments for plotting passed through</dd></dl>

Arguments

Author

Compares Mahalanobis distances from two approaches — compareMahal

<dl>

<dt>x</dt>
<dd>data frame or matrix</dd>


<dt>imp</dt>
<dd>imputation method</dd>


<dt>y</dt>
<dd>unused second argument for the plot method</dd>


<dt>...</dt>
<dd>additional arguments for plotting passed through</dd>

</dl>

Compares Mahalanobis distances from two approaches

compareMahal: Compares Mahalanobis distances from two approaches

Description

Usage

Value

Arguments

Author

References

See Also

Examples