plot.SummaryFactory

Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.

Friedrich Pahlke

rpact

Confirmatory Adaptive Clinical Trial Design and Analysis

Gernot Wassmer

Till Jensen

Stephen Schueuerhuis

Tobias Muetze

plot.SummaryFactory function

<dl><dt>x</dt>
<dd>The summary factory object.</dd>
<dt>y</dt>
<dd>Not available for this kind of plot (is only defined
to be compatible to the generic plot function).</dd>
<dt>...</dt>
<dd>Optional plot arguments. At the moment <code>xlim</code> and <code>ylim</code> are implemented
for changing x or y axis limits without dropping data observations.</dd>
<dt>showSummary</dt>
<dd>Show the summary before creating the
plot output, default is <code>FALSE</code>.</dd></dl>

Arguments

Summary Factory Plotting — plot.SummaryFactory

<dl>

<dt>x</dt>
<dd>The summary factory object.</dd>


<dt>y</dt>
<dd>Not available for this kind of plot (is only defined
to be compatible to the generic plot function).</dd>


<dt>...</dt>
<dd>Optional plot arguments. At the moment <code>xlim</code> and <code>ylim</code> are implemented
for changing x or y axis limits without dropping data observations.</dd>


<dt>showSummary</dt>
<dd>Show the summary before creating the
plot output, default is <code>FALSE</code>.</dd>

</dl>

Summary Factory Plotting

plot.SummaryFactory: Summary Factory Plotting

Description

Usage

Value

Arguments

Details