adtestWrapper

compositional data of class data.frame or matrix

alpha

Number of Monte Carlo simulations in order to provide p-values.

robustEst

A set of Anderson-Darling tests (Anderson and Darling, 1952) are applied as proposed by Aitchison
(Aichison, 1986).

htest

Methods for analysis of compositional data
    including robust methods, imputation, methods to replace rounded zeros, (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 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

Robust Estimation for Compositional Data

adtestWrapper function

Wrapper for Anderson-Darling tests

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 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.

adtestWrapper: Wrapper for Anderson-Darling tests

Description

Usage

Arguments

Value

Details

References

See Also

Examples