calc_density

Internal helper function that is called in <code>plot_density</code> to
calculate the density of a metric variable. If <code>plot_density</code> is called
from within <code>plot_densityMatrix</code> (i.e., when some of the columns
<code>c("age_group","period_group","cohort_group")</code> are part of the dataset,
the density is computed individually for all respective APC groups.

Age-Period-Cohort (APC) analyses are used to differentiate relevant drivers for long-term developments.
The 'APCtools' package offers visualization techniques and general routines to simplify the workflow of an APC analysis.
Sophisticated functions are available both for descriptive and regression model-based analyses.
For the former, we use density (or ridgeline) matrices and (hexagonally binned) heatmaps as innovative visualization
techniques building on the concept of Lexis diagrams.
Model-based analyses build on the separation of the temporal dimensions based on generalized additive models,
where a tensor product interaction surface (usually between age and period) is utilized
to represent the third dimension (usually cohort) on its diagonal.
Such tensor product surfaces can also be estimated while accounting for
further covariates in the regression model.
See Weigert et al. (2021) <doi:10.1177/1354816620987198> for methodological details.

Alexander Bauer

APCtools

Routines for Descriptive and Model-Based APC Analysis

Maximilian Weigert

Hawre Jalal

calc_density function

<dl><dt>dat</dt>
<dd>Dataset with columns <code>period</code> and <code>age</code> and the
main variable specified through argument <code>y_var</code>.</dd>
<dt>y_var</dt>
<dd>Character name of the main variable to be plotted.</dd>
<dt>weights_var</dt>
<dd>Optional character name of a weights variable used to
project the results in the sample to some population.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code><a href="/link/density?package=APCtools&version=1.0.8" data-mini-rdoc="APCtools::density">density</a></code>.</dd></dl>

Arguments

Internal helper to calculate the (group-specific) density of a variable — calc_density

<dl>

<dt>dat</dt>
<dd>Dataset with columns <code>period</code> and <code>age</code> and the
main variable specified through argument <code>y_var</code>.</dd>


<dt>y_var</dt>
<dd>Character name of the main variable to be plotted.</dd>


<dt>weights_var</dt>
<dd>Optional character name of a weights variable used to
project the results in the sample to some population.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code><a href='https://rdrr.io/r/stats/density.html'>density</a></code>.</dd>

</dl>

calc_density: Internal helper to calculate the (group-specific) density of a variable

Description

Usage

Value

Arguments