eta_pairs

title

dname

<code>character</code> type of eat can be 'mode' or 'mean'.'mode' by default

type.eta

color of the correlation text in the upper matrix

text_color

<code>logical</code> if TRUE add shrinkage to the plot

is.shrink

<code>logical</code> if TRUE add smoothing to lower matrix plots

is.smooth

<code>list</code> geom_smooth graphical parameters

smooth

<code>list</code> geom_point graphical parameter

point

<code>list</code> shrinkage graphical parameter

shrink

<code>logical</code> if TRUE add horizontal line to lower matrix plots

is.hline

<code>list</code> geom_hline graphical parameters

hline

others graphics arguments passed to <code><a rd-options="" href="/link/pmx_gpar?package=ggPMX&version=0.9.4" data-mini-rdoc="ggPMX::pmx_gpar">pmx_gpar</a></code> internal object.

This creates an eta correlation which defines the relationship between parameters

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.

Amine Gassem

ggPMX

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

Bruno Bieth

Irina Baltcheva

Thomas Dumortier

Christian Bartels

Souvik Bhattacharya

Inga Ludwig

Ines Paule

Didier Renard

Qing Xi Ooi

Novartis Pharma AG 

eta_pairs function

others graphics arguments passed to <code><a rd-options='' href='pmx_gpar'>pmx_gpar</a></code> internal object.

eta_pairs: This creates an eta correlation which defines the relationship between parameters

Description

Usage

Arguments

Value

See Also