fcut

Bins a numeric vector <code>x</code> into bins specified by <code>breaks</code>.
Values outside the range of <code>breaks</code> will be placed in the lowest or highest bin.
Set <code>labels = FALSE</code> to return integer codes only, and <code>explicit_na = TRUE</code> for
maximal synergy with the "collapse" package.
Uses the logic of <code>spatstat.utils::fastFindInterval()</code> for equi-length bins.

High-performance implementation of various effect plots
useful for regression and probabilistic classification tasks. The
package includes partial dependence plots (Friedman, 2021,
<doi:10.1214/aos/1013203451>), accumulated local effect plots and
M-plots (both from Apley and Zhu, 2016, <doi:10.1111/rssb.12377>), as
well as plots that describe the statistical associations between model
response and features. It supports visualizations with either
'ggplot2' or 'plotly', and is compatible with most models, including
'Tidymodels', models wrapped in 'DALEX' explainers, or models with
case weights.

Michael Mayer

effectplots

Effect Plots

fcut function

<dl><dt>x</dt>
<dd>A numeric vector.</dd>
<dt>breaks</dt>
<dd>A monotonically increasing numeric vector of breaks.</dd>
<dt>labels</dt>
<dd>A character vector of length <code>length(breaks) - 1</code> with bin labels.
By default (<code>NULL</code>), the levels <code>c("1", "2", ...)</code> are used. Set to <code>FALSE</code>
to return raw integer codes.</dd>
<dt>right</dt>
<dd>Right closed bins (<code>TRUE</code>, default) or not?</dd>
<dt>explicit_na</dt>
<dd>If <code>TRUE</code>, missing values are encoded by the bin value
<code>length(breaks)</code>, having <code>NA</code> as corresponding factor level. The factor will get
the additional class "na.included".</dd></dl>

Arguments

Fast cut() — fcut

<dl>

<dt>x</dt>
<dd>A numeric vector.</dd>


<dt>breaks</dt>
<dd>A monotonically increasing numeric vector of breaks.</dd>


<dt>labels</dt>
<dd>A character vector of length <code>length(breaks) - 1</code> with bin labels.
By default (<code>NULL</code>), the levels <code>c("1", "2", ...)</code> are used. Set to <code>FALSE</code>
to return raw integer codes.</dd>


<dt>right</dt>
<dd>Right closed bins (<code>TRUE</code>, default) or not?</dd>


<dt>explicit_na</dt>
<dd>If <code>TRUE</code>, missing values are encoded by the bin value
<code>length(breaks)</code>, having <code>NA</code> as corresponding factor level. The factor will get
the additional class "na.included".</dd>

</dl>

fcut: Fast cut()

Description

Usage

Value

Arguments

Examples