R: Compositional error deviation

ced {robCompositions} | R Documentation

## Compositional error deviation

### Description

Normalized Aitchison distance between two data sets

### Usage

    ced(x, y, ni)

### Arguments

`x` | matrix or data frame
`y` | matrix or data frame of the same size as x
`ni` | normalization parameter. See details below.

### Details

This function has been mainly written for procudures that evaluate imputation or replacement of rounded zeros. The ni parameter can thus, e.g. be used for expressing the number of rounded zeros.

### Value

the compositinal error distance

### Author(s)

Matthias Templ

### References

Hron, K., Templ, M., Filzmoser, P. (2010) Imputation of missing values for compositional data using classical and robust methods Computational Statistics and Data Analysis, 54 (12), 3095-3107.

Templ, M., Hron, K., Filzmoser, P., Gardlo, A. (2016). Imputation of rounded zeros for high-dimensional compositional data. Chemometrics and Intelligent Laboratory Systems, 155, 183-190.

### See Also

`rdcm`

### Examples

    data(expenditures)
    x <- expenditures
    x[1,3] <- NA
    xi <- impKNNa(x)$xImp
    ced(expenditures, xi, ni = sum(is.na(x)))

[Package robCompositions version 2.2.1 Index]