outliers: Extracts Outliers

In outForest: Multivariate Outlier Detection and Replacement

Extracts Outliers

Description

Extracts outliers from object of class "outForest". The outliers are sorted by their absolute score in descending fashion.

Usage

outliers(object, ...)

## Default S3 method:
outliers(object, ...)

## S3 method for class 'outForest'
outliers(object, ...)

Arguments

object	An object of class "outForest".
...	Arguments passed from or to other methods.

Value

A data.frame with one row per outlier. The columns are as follows:

• row, col: Row and column in original data with outlier.

• observed: Observed value.

• predicted: Predicted value.

• rmse: Scaling factor used to normalize the difference between observed and predicted.

• score: Outlier score defined as (observed-predicted)/RMSE.

• threshold: Threshold above which an outlier score counts as outlier.

• replacement: Value used to replace observed value.

Methods (by class)

• outliers(default): Default method not implemented yet.

• outliers(outForest): Extract outliers from outForest object.

Examples

x <- outForest(iris)
outliers(x)

outForest documentation built on May 31, 2023, 5:55 p.m.