OutlierIndex-class function

Outliers

An S4 class to store the result of outlier detection. class

Slots

• samples: A character vector to store the sample identifiers.
• 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, GroupedComposition-class, GroupedLogRatio-class, LogRatio-class, NumericMatrix-class, ReferenceGroups-class

Author(s)

N. Frerebeau