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robCompositions (version 2.4.1)

expenditures: synthetic household expenditures toy data set

Description

This data set from Aitchison (1986), p. 395, describes household expenditures (in former Hong Kong dollars) on five commundity groups.

Usage

data(expenditures)

Arguments

Format

A data frame with 20 observations on the following 5 variables.

Author

Matthias Templ matthias.templ@tuwien.ac.at, Karel Hron

Details

  • housing housing (including fuel and light)

  • foodstuffs foodstuffs

  • alcohol alcohol and tobacco

  • other other goods (including clothing, footwear and durable goods)

  • services services (including transport and vehicles)

This data set contains household expenditures on five commodity groups of 20 single men. The variables represent housing (including fuel and light), foodstuff, alcohol and tobacco, other goods (including clothing, footwear and durable goods) and services (including transport and vehicles). Thus they represent the ratios of the men's income spent on the mentioned expenditures.

References

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

Examples

Run this code

data(expenditures)
## imputing a missing value in the data set using k-nearest neighbor imputation:
expenditures[1,3]
expenditures[1,3] <- NA
impKNNa(expenditures)$xImp[1,3]

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