Outlier represents the results of outlier identification.
A virtual Class: No objects may be created from it.
Object of class
Number of observations in each class
Vector of weights
0/1 flags identifying the outliers
A character string specifying the method used to
identify the outliers. In case of
class this is the name of the robust estimator
of multivariate location and covariance matrix used
a list with singularity
information for the covariance matrix (or
if not singular)
Returns a vector with indices for a given class
Returns a vector containing the computed distances
Returns the flags identifying the outliers
Returns a vector with the indices of the identified outliers
Returns a vector of weights
Valentin Todorov [email protected]
Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. URL http://www.jstatsoft.org/v32/i03/.
Filzmoser P & Todorov V (2012), Robust tools for the imperfect world, To appear.
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