The function dd.plot plots the classical mahalanobis distance of the data against the robust
mahalanobis distance based on the mcd estimator. Different symbols (see function symbol.plot)
and colours (see function color.plot) are used depending
on the mahalanobis and euclidean distance of the observations (see Filzmoser et al., 2005).
Usage
dd.plot(x, quan=1/2, alpha=0.025, ...)
Arguments
x
matrix or data frame containing the data
quan
amount of observations which are used for mcd estimations.
has to be between 0.5 and 1, default ist 0.5
alpha
amount of observations used for calculating the adjusted quantile (see function arw).
...
additional graphical parameters
Value
outliers
boolean vector of outliers
md.cla
mahalanobis distances of the observations based on classical estimators of
location and scatter.
md.rob
mahalanobis distances of the observations based on robust estimators of
location and scatter (mcd).