robCompositions (version 2.0.0)

compareMahal: Compares Mahalanobis distances from two approaches

Description

Mahalanobis distances are calculated for each zero pattern. Two approaches are used. The first one estimates Mahalanobis distance for observations belonging to one each zero pattern each. The second method uses a more sophisticated approach described below.

Usage

compareMahal(x, imp = "KNNa")
"plot"(x, y, ...)

Arguments

x

data frame or matrix

imp

imputation method

y

unused second argument for the plot method

...

additional arguments for plotting passed through

Value

df

a data.frame containing the Mahalanobis distances from the estimation in subgroups, the Mahalanobis distances from the imputation and covariance approach, an indicator specifiying outliers and an indicator specifying the zero pattern

df2

a groupwise statistics.

See Also

impKNNa, isomLR

Examples

data(arcticLake)
# generate some zeros
arcticLake[1:10, 1] <- 0
arcticLake[11:20, 2] <- 0
m <- compareMahal(arcticLake)
plot(m)