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

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>

plot.SummaryFactory: Summary Factory Plotting

Description

Usage

Value

Arguments

Details