nlme.var.vs.cov

The type of plot depends on the type of covariate: boxplot for categorical,
geom_point and geom_smooth for continuous.

Facilitates the creation of 'xpose' data objects from Nonlinear Mixed
Effects (NLME) model outputs produced by 'Certara.RsNLME' or Phoenix NLME. This
integration enables users to utilize all 'ggplot2'-based plotting functions available
in 'xpose' for thorough model diagnostics and data visualization. Additionally, the
package introduces specialized plotting functions tailored for covariate model
evaluation, extending the analytical capabilities beyond those offered by 'xpose' alone.

James Craig

Certara.Xpose.NLME

Enhances 'xpose' Diagnostics for Pharmacometric Models from
'Certara.RsNLME' and Phoenix NLME

Michael Tomashevskiy

Soltanshahi Fred

Shuhua Hu

Certara USA, Inc 

nlme.var.vs.cov function

<dl><dt>xpdb</dt>
<dd>An xpose database object.</dd>
<dt>covColNames</dt>
<dd>Character vector of covariates to build the matrix.</dd>
<dt>nrow</dt>
<dd>Number of rows.</dd>
<dt>ncol</dt>
<dd>Number of columns; if ncol=1, each gtable object is treated separately.</dd>
<dt>yVar</dt>
<dd>Variable from xpdb data to build a plot.</dd>
<dt>...</dt>
<dd>Parameters to be passed to <code>ggarrange()</code></dd></dl>

Arguments

Build multiple plots for selected variable vs covariates — nlme.var.vs.cov

<dl>

<dt>xpdb</dt>
<dd>An xpose database object.</dd>


<dt>covColNames</dt>
<dd>Character vector of covariates to build the matrix.</dd>


<dt>nrow</dt>
<dd>Number of rows.</dd>


<dt>ncol</dt>
<dd>Number of columns; if ncol=1, each gtable object is treated separately.</dd>


<dt>yVar</dt>
<dd>Variable from xpdb data to build a plot.</dd>


<dt>...</dt>
<dd>Parameters to be passed to <code>ggarrange()</code></dd>

</dl>

nlme.var.vs.cov: Build multiple plots for selected variable vs covariates

Description

Usage

Value

Arguments

Examples