prop_post_fun

prop_split_fun

Here we just split into 3 columns <code>n</code>, <code>%</code> and <code>Cum %</code>.

Structure and formatting requirements for clinical trial table and listing outputs
vary between pharmaceutical companies. 'junco' provides additional tooling for use alongside
the 'rtables', 'rlistings' and 'tern' packages when creating table and listing outputs. While
motivated by the specifics of Johnson and Johnson Clinical and Statistical Programming's
table and listing shells, 'junco' provides functionality that is general and reusable.
Major features include a) alternative and extended statistical analyses beyond what 'tern'
supports for use in standard safety and efficacy tables, b) a robust production-grade
Rich Text Format (RTF) exporter for both tables and listings, c) structural support
for spanning column headers and risk difference columns in tables, and d) robust
font-aware automatic column width algorithms for both listings and tables.

Gabriel Becker

junco

Create Common Tables and Listings Used in Clinical Trials

prop_post_fun function

<dl><dt>ret</dt>
<dd>(<code>list</code>) return value from the previous split function.</dd>
<dt>spl</dt>
<dd>(<code>list</code>) split information.</dd>
<dt>fulldf</dt>
<dd>(<code>data.frame</code>) full data frame.</dd>
<dt>.spl_context</dt>
<dd>(<code>environment</code>) split context environment.</dd>
<dt>df</dt>
<dd>A data frame that contains all analysis variables.</dd>
<dt>vals</dt>
<dd>A character vector that contains values to use for the split.</dd>
<dt>labels</dt>
<dd>A character vector that contains labels for the statistics (without indent).</dd>
<dt>trim</dt>
<dd>A single logical that indicates whether to trim the values.</dd></dl>

Arguments

Split Function for Proportion Analysis Columns — prop_post_fun

<dl>

<dt>ret</dt>
<dd>(<code>list</code>) return value from the previous split function.</dd>


<dt>spl</dt>
<dd>(<code>list</code>) split information.</dd>


<dt>fulldf</dt>
<dd>(<code>data.frame</code>) full data frame.</dd>


<dt>.spl_context</dt>
<dd>(<code>environment</code>) split context environment.</dd>


<dt>df</dt>
<dd>A data frame that contains all analysis variables.</dd>


<dt>vals</dt>
<dd>A character vector that contains values to use for the split.</dd>


<dt>labels</dt>
<dd>A character vector that contains labels for the statistics (without indent).</dd>


<dt>trim</dt>
<dd>A single logical that indicates whether to trim the values.</dd>

</dl>

prop_post_fun: Split Function for Proportion Analysis Columns

Description

Usage

Value

Arguments

See Also