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.
|Author||Matthias Templ, Karel Hron, Peter Filzmoser|
|Date of publication||2017-01-12 00:50:05|
|Maintainer||Matthias Templ <firstname.lastname@example.org>|
addLR: Additive log-ratio transformation
addLRinv: Additive logistic transformaton
aDist: Aitchison distance
adjust: Adjusting for original scale
adtest: Anderson-Darling Normality Tests
adtestWrapper: Wrapper for Anderson-Darling tests
ageCatWorld: Child, middle and eldery population
arcticLake: Arctic lake sediment data
balances: Balance calculation
balZav: New average symmetric coordinates
biplot.factanal: Biplot method
biplot.pcaCoDa: Biplot method
bootnComp: Bootstrap to find optimal number of components
cancer: Hospital discharges on cancer and distribution of age
cenLR: Centred log-ratio transformation
cenLRinv: Inverse centred log-ratio transformation
clustCoDa: Cluster analysis for compositional data
clustCoDa_qmode: Q-mode cluster analysis for compositional parts
coffee: coffee data set
compareMahal: Compares Mahalanobis distances from two approaches
constSum: Constant sum
corCoDa: Correlations for compositional data
daCoDa: Linear and quadratic discriminant analysis for compositional...
daFisher: Discriminant analysis by Fisher Rule.
economy: Economic indicators
election: Election data
electionATbp: Votes at presidental elections
expenditures: Synthetic household expenditures toy data set
expendituresEU: Mean consumption expenditures data.
gemas: Gemas geochemical data set
haplogroups: Haplogroups data.
impAll: Replacement of rounded zeros and missing values.
impCoda: Imputation of missing values in compositional data
impKNNa: Imputation of missing values in compositional data using knn...
impRZalr: alr EM-based Imputation for Rounded Zeros
impRZilr: EM-based replacement of rounded zeros in compositional data
imputeBDLs: EM-based replacement of rounded zeros in compositional data
laborForce: Labour force by status in employment
lifeExpGdp: Life expectancy and GDP (2008) for EU-countries
lmCoDaX: Classical and robust regression of non-compositional response...
machineOperators: machine operators
mcad: Metabolomics mcad data set
missPatterns: missing or zero pattern structure.
mortality: Mortality and life expectancy in the EU
nutrients: nutrient contents
nutrients_branded: nutrient contents (branded)
orthbasis: Orthonormal basis
outCoDa: Outlier detection for compositional data
payments: Special payments
pcaCoDa: Robust principal component analysis for compositional data
perturbation: Perturbation and powering
pfa: Factor analysis for compositional data
phd: PhD Students in the EU
pivotCoord: Pivot coordinates and their inverse
plot.imp: Plot method for objects of class imp
plot.pcaCoDa: Plot method
print.imp: Print method for objects of class imp
robCompositions-package: Robust Estimation for Compositional Data.
skyeLavas: Aphyric skye lavas data
summary.imp: Summary method for objects of class imp
ternaryDiag: Ternary diagram
ternaryDiagAbline: Adds a line to a ternary diagram.
ternaryDiagEllipse: Adds tolerance ellipses to a ternary diagram.
ternaryDiagPoints: Add points or lines to a given ternary diagram.
trondelagC: Regional geochemical survey of soil C in Norway
trondelagO: Regional geochemical survey of soil O in Norway
variation: Robust and classical variation matrix
zeroOut: Detection of outliers of zero-inflated data