pmx_vpc_rug

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://monolix.lixoft.com/monolix-api/lixoftconnectors_installation/>.
When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required
Chart Data instead of exporting it from the 'Monolix' gui.

Matthew Fidler

ggPMX

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

pmx_vpc_rug function

<dl><dt>show</dt>
<dd><code>logical</code> If TRUE show bin separators</dd>
<dt>color</dt>
<dd><code>character</code> Color of the rug. Default: "#000000".</dd>
<dt>linewidth</dt>
<dd><code>numeric</code> Thickness of the rug. Default: 1.</dd>
<dt>alpha</dt>
<dd><code>numeric</code> Transparency of the rug. Default: 0.7.</dd>
<dt>size</dt>
<dd><code>numeric</code> Depreciated thickness of the rug. Default: 1.</dd></dl>

Arguments

Sets vpc rug layer — pmx_vpc_rug

<dl>

<dt>show</dt>
<dd><code>logical</code> If TRUE show bin separators</dd>


<dt>color</dt>
<dd><code>character</code> Color of the rug. Default: "#000000".</dd>


<dt>linewidth</dt>
<dd><code>numeric</code> Thickness of the rug. Default: 1.</dd>


<dt>alpha</dt>
<dd><code>numeric</code> Transparency of the rug. Default: 0.7.</dd>


<dt>size</dt>
<dd><code>numeric</code> Depreciated thickness of the rug. Default: 1.</dd>

</dl>

pmx_vpc_rug: Sets vpc rug layer

Description

Usage

Arguments

Details

See Also