pmx_vpc

At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling
activities in order to reduce the overall effort required for generating such plots.
For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox,
called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient
for publication and submissions using few lines of code. This package focuses on plots recommended by ISoP
<doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors'
package in the 'Monolix' installation, as described at the following url
<https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>.
When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required
Chart Data instead of exporting it from the 'Monolix' gui.

Aleksandr Pogodaev

ggPMX

'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME
Models

pmx_vpc function

<dl><dt>type</dt>
<dd><code>charcater</code> can be either percentile or scatter</dd>
<dt>idv</dt>
<dd><code>chracater</code> individual variable</dd>
<dt>obs</dt>
<dd><code>pmx_vpc_obs</code> object observation layer pmx_vpc_obs</dd>
<dt>pi</dt>
<dd><code>pmx_vpc_pi</code> object percentile layer pmx_vpc_pi</dd>
<dt>ci</dt>
<dd><code>pmx_vpc_ci</code> object confidence interval layer pmx_vpc_ci</dd>
<dt>rug</dt>
<dd><code>pmx_vpc_rug</code> object rug layer pmx_vpc_rug</dd>
<dt>bin</dt>
<dd><code>pmx_vpc_bin</code> object pmx_vpc_bin</dd>
<dt>labels</dt>
<dd><code>list</code> define title and axis labels</dd>
<dt>facets</dt>
<dd>is a list of parameters passed to facet_wrap in case of startification</dd>
<dt>is.legend</dt>
<dd><code>logical</code> if TRUE add legend</dd>
<dt>is.footnote</dt>
<dd><code>logical</code> if TRUE add footnote</dd>
<dt>dname</dt>
<dd>added for compatibility with other ggPMX plots</dd>
<dt>...</dt>
<dd>extra parameters passed to base graphical parameters</dd></dl>

Arguments

Creates vpc object — pmx_vpc

<dl>

<dt>type</dt>
<dd><code>charcater</code> can be either percentile or scatter</dd>


<dt>idv</dt>
<dd><code>chracater</code> individual variable</dd>


<dt>obs</dt>
<dd><code>pmx_vpc_obs</code> object observation layer pmx_vpc_obs</dd>


<dt>pi</dt>
<dd><code>pmx_vpc_pi</code> object percentile layer pmx_vpc_pi</dd>


<dt>ci</dt>
<dd><code>pmx_vpc_ci</code> object confidence interval layer pmx_vpc_ci</dd>


<dt>rug</dt>
<dd><code>pmx_vpc_rug</code> object rug layer pmx_vpc_rug</dd>


<dt>bin</dt>
<dd><code>pmx_vpc_bin</code> object pmx_vpc_bin</dd>


<dt>labels</dt>
<dd><code>list</code> define title and axis labels</dd>


<dt>facets</dt>
<dd>is a list of parameters passed to facet_wrap in case of startification</dd>


<dt>is.legend</dt>
<dd><code>logical</code> if TRUE add legend</dd>


<dt>is.footnote</dt>
<dd><code>logical</code> if TRUE add footnote</dd>


<dt>dname</dt>
<dd>added for compatibility with other ggPMX plots</dd>


<dt>...</dt>
<dd>extra parameters passed to base graphical parameters</dd>

</dl>

pmx_vpc: Creates vpc object

Description

Usage

Value

Arguments

See Also