cmp_post_fun

cmp_split_fun

Here we just split into 3 columns for expected, received and missing visits.

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

cmp_post_fun function

<dl><dt>ret</dt>
<dd>(<code>list</code>) result from previous split function steps.</dd>
<dt>spl</dt>
<dd>(<code>split</code>) split object.</dd>
<dt>fulldf</dt>
<dd>(<code>data.frame</code>) full data frame.</dd>
<dt>.spl_context</dt>
<dd>(<code>data.frame</code>) gives information about ancestor split states
that is passed by <code>rtables</code>.</dd>
<dt>df</dt>
<dd>(<code>data.frame</code>) data set containing all analysis variables.</dd>
<dt>vals</dt>
<dd>(<code>character</code>) values to use for the split.</dd>
<dt>labels</dt>
<dd>(named <code>character</code>) labels for the statistics (without indent).</dd>
<dt>trim</dt>
<dd>(<code>logical</code>) whether to trim the values.</dd></dl>

Arguments

Split Function for Compliance Columns — cmp_post_fun

<dl>

<dt>ret</dt>
<dd>(<code>list</code>) result from previous split function steps.</dd>


<dt>spl</dt>
<dd>(<code>split</code>) split object.</dd>


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


<dt>.spl_context</dt>
<dd>(<code>data.frame</code>) gives information about ancestor split states
that is passed by <code>rtables</code>.</dd>


<dt>df</dt>
<dd>(<code>data.frame</code>) data set containing all analysis variables.</dd>


<dt>vals</dt>
<dd>(<code>character</code>) values to use for the split.</dd>


<dt>labels</dt>
<dd>(named <code>character</code>) labels for the statistics (without indent).</dd>


<dt>trim</dt>
<dd>(<code>logical</code>) whether to trim the values.</dd>

</dl>

cmp_post_fun: Split Function for Compliance Columns

Description

Usage

Value

Arguments

See Also