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robCompositions (version 1.3.2)

robCompositions-package: Robust Estimation for Compositional Data.

Description

This first version of the package includes advanced methods for imputation of compositional data including robust methods. The package will be enhanced with other multivariate methods for compositional data in near future.

Arguments

Details

ll{ Package: robCompositions Type: Package Version: 1.0 Date: 2008-12-15 License: GPL 2 LazyLoad: yes }

References

Aitchison, J. (1986) The Statistical Analysis of Compositional Data Monographs on Statistics and Applied Probability. Chapman & Hall Ltd., London (UK). 416p. \

Hron, K. and Templ, M. and Filzmoser, P. (2008) Imputation of missing values for compositional data using classical and robust methods Research Report SM-2008-4, Vienna University of Technology, 15 pages.

Examples

Run this code
## k nearest neighbor imputation
data(expenditures)
expenditures[1,3]
expenditures[1,3] <- NA
impKNNa(expenditures)$xImp[1,3]

## iterative model based imputation
data(expenditures)
x <- expenditures
x[1,3]
x[1,3] <- NA
xi <- impCoda(x)$xImp
xi[1,3]
s1 <- sum(x[1,-3])
impS <- sum(xi[1,-3])
xi[,3] * s1/impS

xi <- impKNNa(expenditures)
xi
summary(xi)
plot(xi, which=1)
plot(xi, which=2)
plot(xi, which=3)

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