lsmeans_wide_cfun

Content Row Analysis Function for LS Means Wide Table Layouts

internal

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

lsmeans_wide_cfun function

<dl><dt>df</dt>
<dd>(<code>data.frame</code>) data set containing all analysis variables.</dd>
<dt>labelstr</dt>
<dd>(<code>character</code>) label of the level of the parent split currently being summarized
(must be present as second argument in Content Row Functions). See <code>rtables::summarize_row_groups()</code>
for more information.</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>variables</dt>
<dd>(<code>list</code>) see <code>fit_ancova()</code> for required variable
specifications.</dd>
<dt>ref_level</dt>
<dd>(<code>string</code>) the reference level of the treatment arm variable.</dd>
<dt>treatment_levels</dt>
<dd>(<code>character</code>) the non-reference levels of the treatment arm
variable.</dd>
<dt>pval_sided</dt>
<dd>(<code>string</code>) either '2' for two-sided or '1' for 1-sided with greater than
control or '-1' for 1-sided with smaller than control alternative hypothesis.</dd>
<dt>conf_level</dt>
<dd>(<code>proportion</code>) confidence level of the interval.</dd>
<dt>formats</dt>
<dd>(<code>list</code>) including <code>lsmean</code>, <code>mse</code>, <code>df</code>, <code>lsmean_diff</code>, <code>se</code>,
<code>ci</code>, <code>pval</code> formats.</dd></dl>

Arguments

Content Row Analysis Function for LS Means Wide Table Layouts — lsmeans_wide_cfun

<dl>

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


<dt>labelstr</dt>
<dd>(<code>character</code>) label of the level of the parent split currently being summarized
(must be present as second argument in Content Row Functions). See <code>rtables::summarize_row_groups()</code>
for more information.</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>variables</dt>
<dd>(<code>list</code>) see <code>fit_ancova()</code> for required variable
specifications.</dd>


<dt>ref_level</dt>
<dd>(<code>string</code>) the reference level of the treatment arm variable.</dd>


<dt>treatment_levels</dt>
<dd>(<code>character</code>) the non-reference levels of the treatment arm
variable.</dd>


<dt>pval_sided</dt>
<dd>(<code>string</code>) either '2' for two-sided or '1' for 1-sided with greater than
control or '-1' for 1-sided with smaller than control alternative hypothesis.</dd>


<dt>conf_level</dt>
<dd>(<code>proportion</code>) confidence level of the interval.</dd>


<dt>formats</dt>
<dd>(<code>list</code>) including <code>lsmean</code>, <code>mse</code>, <code>df</code>, <code>lsmean_diff</code>, <code>se</code>,
<code>ci</code>, <code>pval</code> formats.</dd>

</dl>

lsmeans_wide_cfun: Content Row Analysis Function for LS Means Wide Table Layouts

Description

Usage

Arguments

Details