Outliers

An S4 class to store the result of outlier detection.

Slots

samples

A character vector to store the sample identifiers.

groups

A factor vector to store the group names.

standard

A numeric matrix giving the standard squared Mahalanobis distances.

robust

A numeric matrix giving the robust squared Mahalanobis distances.

limit

A numeric value giving the cut-off value used for outliers detection (quantile of the Chi-squared distribution).

dof

A (non-negative) numeric value giving the degrees of freedom.

Coerce

In the code snippets below, x is an OutlierIndex object.

as.data.frame(x)

Coerces to a data.frame.

See also

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

Author

N. Frerebeau