grouped_center

Centers a numeric variable within optional groups and optional weights.
The order of values is unchanged.

Shed light on black box machine learning models by the help
of model performance, variable importance, global surrogate models,
ICE profiles, partial dependence (Friedman J. H. (2001)
<doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W.
(2016) <arXiv:1612.08468>), further effects plots, interaction
strength, and variable contribution breakdown (Gosiewska and Biecek
(2019) <arxiv:1903.11420>). All tools are implemented to work with
case weights and allow for stratified analysis. Furthermore, multiple
flashlights can be combined and analyzed together.

Michael Mayer

flashlight

Shed Light on Black Box Machine Learning Models

grouped_center function

<dl><dt>data</dt>
<dd>A <code>data.frame</code>.</dd>
<dt>x</dt>
<dd>Variable name in <code>data</code> to center.</dd>
<dt>w</dt>
<dd>Optional name of the column in <code>data</code> with case weights.</dd>
<dt>by</dt>
<dd>An optional vector of column names in <code>data</code> used to group the results.</dd>
<dt>...</dt>
<dd>Additional arguments passed to mean calculation (e.g. <code>na.rm = TRUE</code>).</dd></dl>

Arguments

Grouped, weighted mean centering — grouped_center

<dl>

<dt>data</dt>
<dd>A <code>data.frame</code>.</dd>


<dt>x</dt>
<dd>Variable name in <code>data</code> to center.</dd>


<dt>w</dt>
<dd>Optional name of the column in <code>data</code> with case weights.</dd>


<dt>by</dt>
<dd>An optional vector of column names in <code>data</code> used to group the results.</dd>


<dt>...</dt>
<dd>Additional arguments passed to mean calculation (e.g. <code>na.rm = TRUE</code>).</dd>

</dl>

grouped_center: Grouped, weighted mean centering

Description

Usage

Value

Arguments

Examples