predictdf

Prediction data frame from ggplot2
Get predictions with standard errors into data frame

Supports a structured approach
for exploring PKPD data <https://opensource.nibr.com/xgx/>. It also
contains helper functions for enabling the modeler to follow best R
practices (by appending the program name, figure name location, and
draft status to each plot). In addition, it enables the modeler to
follow best graphical practices (by providing a theme that
reduces chart ink, and by providing time-scale, log-scale, and
reverse-log-transform-scale functions for more readable axes).
Finally, it provides some data checking and summarizing functions for
rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.

Andrew Stein

xgxr

Exploratory Graphics for Pharmacometrics

Alison Margolskee

Fariba Khanshan

Konstantin Krismer

Matthew Fidler

Novartis Pharma AG 

predictdf function

<dl><dt>model</dt>
<dd>model object</dd>
<dt>xseq</dt>
<dd>newdata</dd>
<dt>se</dt>
<dd>Display confidence interval around smooth?</dd>
<dt>level</dt>
<dd>Level of confidence interval to use</dd></dl>

Arguments

Prediction data frame from ggplot2
Get predictions with standard errors into data frame — predictdf

<dl>

<dt>model</dt>
<dd>model object</dd>


<dt>xseq</dt>
<dd>newdata</dd>


<dt>se</dt>
<dd>Display confidence interval around smooth?</dd>


<dt>level</dt>
<dd>Level of confidence interval to use</dd>

</dl>

predictdf: Prediction data frame from ggplot2 Get predictions with standard errors into data frame

Description

Usage

Arguments