| OutlierIndex-class | R Documentation | 
An S4 class to store the result of outlier detection.
samplesA character vector to store the sample identifiers.
standardA numeric matrix giving the standard squared Mahalanobis
distances.
robustA numeric matrix giving the robust squared Mahalanobis
distances.
limitA numeric value giving the cut-off value used for outliers
detection (quantile of the Chi-squared distribution).
dofA (non-negative) numeric value giving the degrees of freedom.
In the code snippets below, x is an OutlierIndex object.
as.data.frame(x)Coerces to a data.frame.
N. Frerebeau
Other classes: 
CompositionMatrix-class,
GroupedComposition-class,
GroupedLogRatio-class,
LogRatio-class,
NumericMatrix-class,
ReferenceGroups-class
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