dynamic_pretty_breaks

Internal helper to compute breaks on a numeric scale,
ensuring the number of breaks is in a desired range and aligned with data bounds.

internal

Bayesian multivariate age-period-cohort (MAPC) models for analyzing health data, with support for model fitting, visualization, stratification, and model comparison. Inference focuses on identifiable cross-strata differences, as described by Riebler and Held (2010) <doi:10.1093/biostatistics/kxp037>. Methods for handling complex survey data via the 'survey' package are included, as described in Mercer et al. (2014) <doi:10.1016/j.spasta.2013.12.001>.

Lars Vatten

MAPCtools

Multivariate Age-Period-Cohort (MAPC) Modeling for Health Data

dynamic_pretty_breaks function

<dl><dt>x</dt>
<dd>A numeric vector.</dd>
<dt>target_n</dt>
<dd>Target number of breaks.</dd>
<dt>max_breaks</dt>
<dd>Maximum allowed number of breaks.</dd>
<dt>min_breaks</dt>
<dd>Minimum allowed number of breaks.</dd></dl>

Arguments

Compute dynamic pretty breaks for continuous x-axis — dynamic_pretty_breaks

<dl>

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


<dt>target_n</dt>
<dd>Target number of breaks.</dd>


<dt>max_breaks</dt>
<dd>Maximum allowed number of breaks.</dd>


<dt>min_breaks</dt>
<dd>Minimum allowed number of breaks.</dd>

</dl>

dynamic_pretty_breaks: Compute dynamic pretty breaks for continuous x-axis

Description

Usage

Value

Arguments