plot.substitution

Make a plot of <code>substitution</code> model results.

Implement Bayesian Multilevel Modelling for compositional data
in a multilevel framework. Compute multilevel compositional data and
Isometric log ratio (ILR) at between and within-person levels,
fit Bayesian multilevel models for compositional predictors and outcomes,
and run post-hoc analyses such as isotemporal substitution models.
References:
Le, Stanford, Dumuid, and Wiley (2024) <doi:10.48550/arXiv.2405.03985>,
Le, Dumuid, Stanford, and Wiley (2024) <doi:10.48550/arXiv.2411.12407>.

Flora Le

multilevelcoda

Estimate Bayesian Multilevel Models for Compositional Data

Joshua F. Wiley

plot.substitution function

<dl><dt>x</dt>
<dd>A <code>substitution</code> class object.</dd>
<dt>to</dt>
<dd>A character value or vector specifying the names of the compositional parts
that were reallocated to in the model.</dd>
<dt>ref</dt>
<dd>A character value of ((<code>"grandmean"</code> or <code>"clustermean"</code> or <code>"users"</code>),</dd>
<dt>level</dt>
<dd>A character value of (<code>"between"</code>, <code>"within"</code>), or <code>"aggregate"</code>).</dd>
<dt>...</dt>
<dd>Further components to the plot, followed by a plus sign (+).</dd></dl>

Arguments

Substitution Plot — plot.substitution

<dl>

<dt>x</dt>
<dd>A <code>substitution</code> class object.</dd>


<dt>to</dt>
<dd>A character value or vector specifying the names of the compositional parts
that were reallocated to in the model.</dd>


<dt>ref</dt>
<dd>A character value of ((<code>"grandmean"</code> or <code>"clustermean"</code> or <code>"users"</code>),</dd>


<dt>level</dt>
<dd>A character value of (<code>"between"</code>, <code>"within"</code>), or <code>"aggregate"</code>).</dd>


<dt>...</dt>
<dd>Further components to the plot, followed by a plus sign (+).</dd>

</dl>

plot.substitution: Substitution Plot

Description

Usage

Value

Arguments