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robCompositions (version 1.9.1)

Robust Estimation for Compositional Data

Description

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.

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Version

Install

install.packages('robCompositions')

Monthly Downloads

1,357

Version

1.9.1

License

GPL-2

Maintainer

Matthias Templ

Last Published

May 6th, 2015

Functions in robCompositions (1.9.1)

Centred log-ratio transformation

Discriminant analysis by Fisher Rule.

Additive logistic transformaton

Additive log-ratio transformation

Wrapper for Anderson-Darling tests

Summary method for objects of class imp

Bootstrap to find optimal number of components

Inverse centred log-ratio transformation

Robust principal component analysis for compositional data

summary.adtestWrapper

summary method for objects of class adtestWrapper

ternaryDiagAbline

Adds a line to a ternary diagram.

print.adtestWrapper

print method for objects of class adtestWrapper

Aphyric skye lavas data

robCompositions-package

Robust Estimation for Compositional Data.

print method for outCoDa objects

Ternary diagram

Adjusting for original scale

ternaryDiagPoints

Add points or lines to a given ternary diagram.

Artic lake sediment data

Isometric log-ratio transformation

Anderson-Darling Normality Tests

alr EM-based Imputation for Rounded Zeros

machineOperators

Machine operators data set

EM-based replacement of rounded zeros in compositional data

print method for objects of class daFisher

Replacement of rounded zeros and missing values.

Orthonormal basis

Imputation of missing values in compositional data using knn methods

Robust variation matrix

Household expenditures data

Print method for objects of class imp

Outlier detection for compositional data

plot method for outCoDa objects

ternaryDiagEllipse

Adds tolerance ellipses to a ternary diagram.

Mean consumption expenditures data.

Plot method for objects of class imp

Haplogroups data.

Inverse isometric log-ratio transformation

Factor analysis for compositional data

Classical and robust regression of non-compositional response on compositional predictors

PhD Students in the EU

Print method for pcaCoDa objects

Aitchison distance

missing or zero pattern structure.

Imputation of missing values in compositional data