print.imp
(Package: robCompositions) :
Print method for objects of class imp
The function returns a few information about how many missing values are imputed and possible other information about the amount of iterations, for example.
● Data Source:
CranContrib
● Keywords: print
● Alias: print.imp
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impAll
(Package: robCompositions) :
Replacement of rounded zeros and missing values.
Parametric replacement of rounded zeros and missing values for compositional data using classical and robust methods based on ilr-transformations with special choice of balances. Values under detection limit should be saved with the negative value of the detection limit (per variable). Missing values should be coded as NA.
● Data Source:
CranContrib
● Keywords: manip
● Alias: impAll
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outCoDa
(Package: robCompositions) :
Outlier detection for compositional data
Outlier detection for compositional data using standard and robust statistical methods.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: outCoDa, plot.outCoDa, print.outCoDa
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lmCoDaX
(Package: robCompositions) :
Classical and robust regression of non-compositional response on
Delivers appropriate inference for regression of y on a compositional matrix X.
● Data Source:
CranContrib
● Keywords: models
● Alias: ilrregression, lmCoDaX, robilrregression
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impRZalr
(Package: robCompositions) :
alr EM-based Imputation for Rounded Zeros
A modified EM alr-algorithm for replacing rounded zeros in compositional data sets.
● Data Source:
CranContrib
● Keywords: manip, multivariate
● Alias: impRZalr
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trondelagO
(Package: robCompositions) :
Regional geochemical survey of soil O in Norway
A regional-scale geochemical survey of O horizon samples in Nord-Trondelag, Central Norway
● Data Source:
CranContrib
● Keywords: data
● Alias: trondelagO
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Closes compositions to sum up to a given constant (default 1), by dividing each part of a composition by its row sum.
● Data Source:
CranContrib
● Keywords: manip
● Alias: constSum
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pcaCoDa
(Package: robCompositions) :
Robust principal component analysis for compositional data
This function applies robust principal component analysis for compositional data.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: pcaCoDa, print.pcaCoDa
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The package contains methods for imputation of compositional data including robust methods, (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis (Fisher rule) and (robust) Anderson-Darling normality tests for compositional data as well as popular log-ratio transformations (alr, clr, ilr, and their inverse transformations).
● Data Source:
CranContrib
● Keywords: package
● Alias: robCompositions, robCompositions-package
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AFM compositions of 23 aphyric Skye lavas. This data set can be found on page 360 of the Aitchison book (see reference).
● Data Source:
CranContrib
● Keywords: data
● Alias: skyeLavas
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providing 
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