Compositional error deviation
Normalized Aitchison distance between two data sets
ced(x, y, ni)
x |
matrix or data frame |
y |
matrix or data frame of the same size as x |
ni |
normalization parameter. See details below. |
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.
the compositinal error distance
Matthias Templ
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.
data(expenditures) x <- expenditures x[1,3] <- NA xi <- impKNNa(x)$xImp ced(expenditures, xi, ni = sum(is.na(x)))
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