individual

This function can be used to obtain individual prediction and compare with observed data and population prediction
for each individual separately

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

individual function

<dl><dt>labels</dt>
<dd>plot texts. labels, axis,</dd>
<dt>facets</dt>
<dd>list facets settings nrow/ncol</dd>
<dt>dname</dt>
<dd>name of dataset to be used</dd>
<dt>ipred_line</dt>
<dd><code>list</code> some pred line geom properties aesthetics</dd>
<dt>pred_line</dt>
<dd><code>list</code> some ipred line geom properties aesthetics</dd>
<dt>point</dt>
<dd><code>list</code> some point geom properties aesthetics</dd>
<dt>bloq</dt>
<dd><code>pmxBLOQ</code> object created by <code>pmx_bloq</code></dd>
<dt>is.legend</dt>
<dd><code>logical</code> if TRUE add a legend</dd>
<dt>use.finegrid</dt>
<dd><code>logical</code> if FALSE use predictions data set</dd>
<dt>...</dt>
<dd>others graphics arguments passed to <code>pmx_gpar</code> internal object.</dd></dl>

Arguments

This function can be used to obtain individual prediction and compare with observed data and population prediction
for each individual separately — individual

<dl>

<dt>labels</dt>
<dd>plot texts. labels, axis,</dd>


<dt>facets</dt>
<dd>list facets settings nrow/ncol</dd>


<dt>dname</dt>
<dd>name of dataset to be used</dd>


<dt>ipred_line</dt>
<dd><code>list</code> some pred line geom properties aesthetics</dd>


<dt>pred_line</dt>
<dd><code>list</code> some ipred line geom properties aesthetics</dd>


<dt>point</dt>
<dd><code>list</code> some point geom properties aesthetics</dd>


<dt>bloq</dt>
<dd><code>pmxBLOQ</code> object created by <code>pmx_bloq</code></dd>


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


<dt>use.finegrid</dt>
<dd><code>logical</code> if FALSE use predictions data set</dd>


<dt>...</dt>
<dd>others graphics arguments passed to <code>pmx_gpar</code> internal object.</dd>

</dl>

individual: This function can be used to obtain individual prediction and compare with observed data and population prediction for each individual separately

Description

Usage

Value

Arguments

See Also