| rdcm {robCompositions} | R Documentation |
The sample covariance matrices are computed with the same isometric transformed observations.
rdcm(x, y)
x |
matrix or data frame |
y |
matrix or data frame of the same size as x. |
The difference in covariance structure is based on the Euclidean distance between both covariance estimations.
the error measures value
Matthias Templ
Hron, K. and Templ, M. and Filzmoser, P. (2010) Imputation of missing values for compositional data using classical and robust methods Computational Statistics and Data Analysis, vol 54 (12), pages 3095-3107. Templ, M. and Hron, K. and Filzmoser and Gardlo, A. (2016). Imputation of rounded zeros for high-dimensional compositional data. Chemometrics and Intelligent Laboratory Systems, 54 (12) 3095-3107.
data(expenditures) x <- expenditures x[1,3] <- NA xi <- impKNNa(x)$xImp rdcm(expenditures, xi)