[.outlieroutputs

Select given rows from outlier results.

Outlier detection method that flags suspicious values within observations,
constrasting them against the normal values in a user-readable format, potentially
describing conditions within the data that make a given outlier more rare.
Full procedure is described in Cortes (2020) <arXiv:2001.00636>.
Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.

David Cortes

outliertree

Explainable Outlier Detection Through Decision Tree Conditioning

[.outlieroutputs function

<dl><dt>x</dt>
<dd>An object of class `outlieroutputs`, as returned by e.g. predict.outliertree.</dd>
<dt>i</dt>
<dd>Rows to select. Can pass numbers or strings. Works the same as when selecting
elements from a list.</dd></dl>

Arguments

Slice or sub-set outliers — [.outlieroutputs

<dl>

<dt>x</dt>
<dd>An object of class `outlieroutputs`, as returned by e.g. predict.outliertree.</dd>


<dt>i</dt>
<dd>Rows to select. Can pass numbers or strings. Works the same as when selecting
elements from a list.</dd>

</dl>

[.outlieroutputs: Slice or sub-set outliers

Description

Usage

Value

Arguments