Description Usage Arguments Details Value Author(s) See Also Examples
This function is a convenience wrapper to mahalanobis
offering
also the possibility to calculate robust Mahalanobis squared distances using
MCD and MVE estimators of center and covariance (from cov.rob
)
1  Mahalanobis(x, center, cov, method = c("classical", "mcd", "mve"), nsamp = "best", ...)

x 
a numeric matrix or data frame with, say, p columns 
center 
mean vector of the data; if this and 
cov 
covariance matrix (p x p) of the data 
method 
estimation method used for center and covariance, one of:

nsamp 
passed to 
... 
other arguments passed to 
Any missing data in a row of x
causes NA
to be returned for that row.
A numeric vector of squared Mahalanobis distances corresponding to the rows of x
.
Michael Friendly
1 2 3  summary(Mahalanobis(iris[, 1:4]))
summary(Mahalanobis(iris[, 1:4], method="mve"))
summary(Mahalanobis(iris[, 1:4], method="mcd"))

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