h_plot_data_df

h_plot_data_df,Data-method

h_plot_data_df,DataOrdinal-method

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=crmPack&version=2.0.0" alt="[Experimental]"></a>
This helper function prepares a <code>data.frame</code> object based on <code>Data</code> class
object. The resulting data frame is used by the plot function for <code>Data</code>
class objects.
<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=crmPack&version=2.0.0" alt="[Experimental]"></a>
A method that transforms <code>GeneralData</code> objects into a <code>tibble</code> suitable for
plotting with <code>ggplot2</code> methods

Implements a wide range of dose escalation
designs. The focus is on model-based designs, ranging from classical and
modern continual reassessment methods (CRMs) based on dose-limiting toxicity
endpoints to dual-endpoint designs taking into account a biomarker/efficacy
outcome. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy
to setup a new design with custom JAGS code. However, it is also possible to
implement 3+3 designs for comparison or models with non-Bayesian estimation.
The whole package is written in a modular form in the S4 class system, making it
very flexible for adaptation to new models, escalation or stopping rules.
Further details are presented in
Sabanes Bove et al. (2019) <doi:10.18637/jss.v089.i10>.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of Dose Escalation Designs

Wai Yin Yeung

Burak Kuersad Guenhan

Giuseppe Palermo

Thomas Jaki

Jiawen Zhu

Ziwei Liao

Dimitris Kontos

Marlene Schulte-Goebel

Doug Kelkhoff

Oliver Boix

Robert Adams

Clara Beck

John Kirkpatrick

Wojciech Wójciak

Guanya Peng

Prerana Chandratre

F. Hoffmann-La Roche AG 

Merck Healthcare KGaA 

Bayer AG 

RPACT GmbH 

h_plot_data_df function

<dl><dt>data</dt>
<dd>(<code>Data</code>) object from which data is extracted and converted
into a data frame.</dd>
<dt>...</dt>
<dd>further arguments passed to <code>data.frame</code> constructor.
It can be e.g. an extra <code>column_name = value</code> pair based on a slot
from <code>x</code> (which in this case might be a subclass of <code>Data</code>)
which does not appear in <code>Data</code>.</dd>
<dt>blind</dt>
<dd>(<code>flag</code>) should data be blinded?
If <code>TRUE</code>, then for each cohort, all DLTs are assigned to the first
subjects in the cohort. In addition, the placebo (if any) is set to the
active dose level for that cohort.</dd>
<dt>legend</dt>
<dd>(<code>flag</code>) Display the legend for the toxicity categories</dd></dl>

Arguments

<ul>
<li><code>h_plot_data_df(Data)</code>: method for <code>Data</code>.</li>
<li><code>h_plot_data_df(DataOrdinal)</code>: Class specific method for <code>DataOrdinal</code></li>
</ul>

Methods (by class)

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
This helper function prepares a <code>data.frame</code> object based on <code>Data</code> class
object. The resulting data frame is used by the plot function for <code>Data</code>
class objects.
<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
A method that transforms <code>GeneralData</code> objects into a <code>tibble</code> suitable for
plotting with <code>ggplot2</code> methods

Preparing Data for Plotting — h_plot_data_df

<dl>

<dt>data</dt>
<dd>(<code>Data</code>) object from which data is extracted and converted
into a data frame.</dd>


<dt>...</dt>
<dd>further arguments passed to <code>data.frame</code> constructor.
It can be e.g. an extra <code>column_name = value</code> pair based on a slot
from <code>x</code> (which in this case might be a subclass of <code>Data</code>)
which does not appear in <code>Data</code>.</dd>


<dt>blind</dt>
<dd>(<code>flag</code>) should data be blinded?
If <code>TRUE</code>, then for each cohort, all DLTs are assigned to the first
subjects in the cohort. In addition, the placebo (if any) is set to the
active dose level for that cohort.</dd>


<dt>legend</dt>
<dd>(<code>flag</code>) Display the legend for the toxicity categories</dd>

</dl>

Preparing Data for Plotting

h_plot_data_df: Preparing Data for Plotting

Description

Usage

Value

Arguments

Methods (by class)