Holds the results of outlier identification using robust mahalanobis distances computed by robust multivarite location and covarince matrix.
Objects can be created by calls of the form
new("OutlierMahdist", ...) but the
usual way of creating
OutlierMahdist objects is a call to the function
OutlierMahdist() which serves as a constructor.
A list containing the robust estimates of multivariate location and covariance matrix for each class
Object of class
Number of observations in each class
0/1 flags identifying the outliers
Method used to compute the robust estimates of multivariate location and covariance matrix
a list with singularity
information for the covariance matrix (or
of not singular)
Return the cutoff value used to identify outliers
Return a vector containing the computed distances
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/.
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