## Mahalanobis Distance

## Usage

    mahalanobis(x, center, cov, inverted=FALSE)

## Arguments

`x` | Vector or matrix of data.
`center` | Mean vector of the distribution or second data vector.
`cov` | Covariance matrix of the distribution or the QR decomposition of the distribution.
`inverted` | If `TRUE`, `cov` is supposed to contain the inverse of the covariance matrix.

## Description

Returns the Mahalanobis distance of all rows in `x` and the vector `center`, which is (for vector `x`) defined as

d = (x - center)' cov^{-1} (x - center)

## Author(s)

Friedrich Leisch

## See Also

`qr`,`cov`

## Examples

    x <- matrix(rnorm(30),ncol=3)
    mahalanobis(x)

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