mmmulteda.object
ObjectsAn object of class mmmulteda.object
holds information about
the result of a call to mmmult
with monitoring=TRUE
.
The object itself is basically a list
with the following
components:
length(eff)-by-p matrix containing MM estimate of location
for each value of eff
.
p-by-p-by-length(eff) 3D array containing robust estimate of the shape for each value of eff. Remark: det|shape|=1.
length(eff) vector containing robust estimate of the scale for each value of eff.
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.
(p+1)-by-length(eff) matrix containing the units forming best subset for each value of eff.
n-by-length(eff) matrix containing the estimates of the robust Mahalanobis distances (in squared units) for each value of eff.
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
n x length(eff) matrix containing the weights for each value of eff.
Confidence level that was used to declare outliers.
Number of subsets without full rank. Notice that
singsub > 0.1*(number of subsamples)
produces a warning.
vector which contains the values of eff which have been used.
the data matrix X.
# NOT RUN {
data(hbk)
(out <- mmmult(hbk[,1:3], monitoring=TRUE))
class(out)
summary(out)
# }
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