mmmulteda.object {fsdaR}

Description of mmmulteda.object Objects

Description

An object of class mmmulteda.object holds information about the result of a call to mmmult with monitoring=TRUE.

Value

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

Loc

length(eff)-by-p matrix containing MM estimate of location for each value of eff.

Shape

p-by-p-by-length(eff) 3D array containing robust estimate of the shape for each value of eff. Remark: det|shape|=1.

Scale

length(eff) vector containing robust estimate of the scale for each value of eff.

Cov

p-by-p-by-length(eff) 3D array containing robust estimate of covariance matrix for each value of eff. Note that scale(i)^2 * shape[,,i] = robust estimate of covariance matrix.

Bs

(p+1)-by-length(eff) matrix containing the units forming best subset for each value of eff.

MAL

n-by-length(eff) matrix containing the estimates of the robust Mahalanobis distances (in squared units) for each value of eff.

Outliers

n-by-length(eff) matrix containing flags for the outliers. Boolean matrix containing the list of the units declared as outliers for each value of eff using confidence level specified in input scalar conflev

Weights

n x length(eff) matrix containing the weights for each value of eff.

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.

eff

vector which contains the values of eff which have been used.

X

the data matrix X.

The object has class "mmmulteda".

Examples

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

## End(Not run)