faoutlier (version 0.2.2)

robustMD: Robust Mahalanobis

Description

Compute Mahalanobis distances using the robust computing methods found in the MASS package.

Usage

robustMD(data, method = "mve", na.rm = TRUE, digits = 5)

  ## S3 method for class 'robmah':
print(x, ...)

  ## S3 method for class 'robmah':
summary(object, gt = 0, ...)

  ## S3 method for class 'robmah':
plot(x, y = NULL, ...)

Arguments

data

matrix or data.frame

method

type of estimation for robust means and covariance (see cov.rob

na.rm

logical; remove cases with missing data?

digits

number of digits to round in the final result

x

an object of class robmah

...

additional parameters to be passed

object

an object of class robmah

gt

only print values with MD's greater than gt

y

empty parameter passed to plot

See Also

gCD, obs.resid, LD

Examples

data(holzinger)
output <- robustMD(holzinger)
output
summary(output)