mmmult.object {fsdaR}

Description of mmmult.object Objects

Description

An object of class mmmult.object holds information about the result of a call to mmmult.

Value

The object itself is basically a list with the following components:

loc

p-by-1 vector containing MM estimate of location.

shape

p-by-p matrix with MM estimate of the shape matrix.

cov

matrix with MM estimate of the covariance matrix. Remark: covariance = auxscale^2 * shape.

weights

A vector containing the estimates of the weights.

outliers

A vector containing the list of the units declared as outliers using confidence level specified in input scalar conflev.

Sloc

A vector with S estimate of location.

Sshape

A matrix with S estimate of the shape matrix.

Scov

A matrix with S estimate of the covariance matrix.

auxscale

S estimate of the scale.

md

n-by-1 vector containing the estimates of the robust Mahalanobis distances (in squared units).

conflev

Confidence level that was used to declare outliers.

X

the data matrix X

The object has class "mmmult".

Examples

    ## Not run: 
    data(hbk, package="robustbase")
    (out <- mmmult(hbk[,1:3]))
    class(out)
    summary(out)
    
## End(Not run)