smult.object {fsdaR}

Description of smult.object Objects

Description

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

Value

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

loc

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

shape

p-by-p matrix containing robust estimate of the shape matrix. Remark: det|shape|=1.

scale

robust estimate of the scale.

cov

scale^2 * shape: robust estimate of covariance matrix.

bs

a (p+1) vector containing the units forming best subset associated with S estimate of location.

md

n-by-1 vector containing the estimates of the robust Mahalanobis distances (in squared units). This vector contains the distances of each observation from the location of the data, relative to the scatter matrix cov.

outliers

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

conflev

Confidence level that was used to declare outliers.

singsub

Number of subsets without full rank. Notice that singsub > 0.1*(number of subsamples) produces a warning.

weights

n x 1 vector containing the estimates of the weights.

X

the data matrix X

The object has class "smult".

Examples

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