impAll: Replacement of rounded zeros and missing values.

In robCompositions: Compositional Data Analysis

Replacement of rounded zeros and missing values.

Description

Parametric replacement of rounded zeros and missing values for compositional data using classical and robust methods based on ilr coordinates 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.

Usage

impAll(x)

Arguments

x	data frame

Details

This is a wrapper function that calls impRZilr() for the replacement of zeros and impCoda for the imputation of missing values sequentially. The detection limit is automatically derived form negative numbers in the data set.

Value

The imputed data set.

Note

This function is mainly used by the compositionsGUI.

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.

Martin-Fernandez, J.A., Hron, K., Templ, M., Filzmoser, P., Palarea-Albaladejo, J. (2012) Model-based replacement of rounded zeros in compositional data: Classical and robust approaches, Computational Statistics, 56 (2012), 2688 - 2704.

See Also

impCoda, impRZilr

Examples

## see the compositionsGUI

robCompositions documentation built on Aug. 25, 2023, 5:13 p.m.