Outliers

An S4 class to store the result of outlier detection.

Slots

samples

A character vector to store the sample identifiers (allows duplicates in case of repeated measurements).

groups

A character vector to store the group names (if any).

distances

A numeric vector giving the squared Mahalanobis distance.

limit

An numeric value giving the cut-off value used for outlier detection.

robust

An logical scalar: were robust estimators used?

Note

These classes inherit from logical.

See also

Other classes: CompositionMatrix-class, LogRatio-class, LogicalMatrix-class, NumericMatrix-class

Author

N. Frerebeau