outlier | R Documentation |

Compute outlying measures based on a proximity matrix.

## Default S3 method: outlier(x, cls=NULL, ...) ## S3 method for class 'randomForest' outlier(x, ...)

`x` |
a proximity matrix (a square matrix with 1 on the diagonal
and values between 0 and 1 in the off-diagonal positions); or an object of
class |

`cls` |
the classes the rows in the proximity matrix belong to. If not given, all data are assumed to come from the same class. |

`...` |
arguments for other methods. |

A numeric vector containing the outlying measures. The outlying measure of a case is computed as n / sum(squared proximity), normalized by subtracting the median and divided by the MAD, within each class.

`randomForest`

set.seed(1) iris.rf <- randomForest(iris[,-5], iris[,5], proximity=TRUE) plot(outlier(iris.rf), type="h", col=c("red", "green", "blue")[as.numeric(iris$Species)])

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