factorize_numeric_vector

Turn numeric vector into an ordered factor

Integrating morphological modeling with machine learning to support
structured decision-making (e.g., in management and consulting). The package
enumerates a morphospace of feasible configurations and uses random forests
to estimate class probabilities over that space, bridging deductive model
exploration with empirical validation. It includes utilities for factorizing
inputs, model training, morphospace construction, and an interactive 'shiny'
app for scenario exploration.

Oskar Kosch

MLmorph

Integrating Morphological Modeling and Machine Learning for
Decision Support

factorize_numeric_vector function

<dl><dt>data_vector</dt>
<dd>Numeric vector.</dd>
<dt>method</dt>
<dd>Factorization rule: one of <code>"equal_bins"</code>, <code>"equal_distance"</code>, <code>"custom_breaks"</code>.</dd>
<dt>breaks_no</dt>
<dd>Integer \(\ge 2\); number of intervals when <code>method != "custom_breaks"</code>.</dd>
<dt>custom_breaks</dt>
<dd>Optional numeric vector of cut points (strictly increasing) used when <code>method = "custom_breaks"</code>.</dd>
<dt>custom_labels</dt>
<dd>Optional character vector of labels. If supplied, its length should equal <code>length(custom_breaks) - 1</code>.</dd></dl>

Arguments

Turn numeric vector into an ordered factor — factorize_numeric_vector

<dl>

<dt>data_vector</dt>
<dd>Numeric vector.</dd>


<dt>method</dt>
<dd>Factorization rule: one of <code>"equal_bins"</code>, <code>"equal_distance"</code>, <code>"custom_breaks"</code>.</dd>


<dt>breaks_no</dt>
<dd>Integer \(\ge 2\); number of intervals when <code>method != "custom_breaks"</code>.</dd>


<dt>custom_breaks</dt>
<dd>Optional numeric vector of cut points (strictly increasing) used when <code>method = "custom_breaks"</code>.</dd>


<dt>custom_labels</dt>
<dd>Optional character vector of labels. If supplied, its length should equal <code>length(custom_breaks) - 1</code>.</dd>

</dl>

factorize_numeric_vector: Turn numeric vector into an ordered factor

Description

Usage

Value

Arguments

Examples