smallest_n_indices

Returns the indices of the n smallest elements in a vector

Modular and unified R6-based interface for counterfactual explanation methods.
The following methods are currently implemented: Burghmans et al. (2022) <doi:10.48550/arXiv.2104.07411>,
Dandl et al. (2020) <doi:10.1007/978-3-030-58112-1_31> and Wexler et al. (2019) <doi:10.1109/TVCG.2019.2934619>.
Optional extensions allow these methods to be applied to a variety of models and use cases.
Once generated, the counterfactuals can be analyzed and visualized by provided functionalities.

Susanne Dandl

counterfactuals

Counterfactual Explanations

Andreas Hofheinz

Martin Binder

Giuseppe Casalicchio

smallest_n_indices function

<dl><dt>x</dt>
<dd>(<code><a href="/link/numeric()?package=counterfactuals&version=0.1.6" data-mini-rdoc="counterfactuals::numeric()">numeric()</a></code>) 
A numeric vector.</dd>
<dt>n</dt>
<dd>(<code>numeric(1)</code>) 
A integer indicating how many elements should be returned</dd></dl>

Arguments

Returns the indices of the n smallest elements in a vector — smallest_n_indices

<dl>

<dt>x</dt>
<dd>(<code><a href='https://rdrr.io/r/base/numeric.html'>numeric()</a></code>) 
A numeric vector.</dd>


<dt>n</dt>
<dd>(<code>numeric(1)</code>) 
A integer indicating how many elements should be returned</dd>

</dl>

smallest_n_indices: Returns the indices of the n smallest elements in a vector

Description

Usage

Arguments