var_relabel_list

This function relabels variables in a dataset based on a provided list of labels.
It can either replace existing labels or only add labels to variables without them.

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

var_relabel_list function

<dl><dt>x</dt>
<dd>(<code>data.frame</code>) dataset containing variables to be relabeled.</dd>
<dt>lbl_list</dt>
<dd>(<code>list</code>) named list of labels to apply to variables.</dd>
<dt>replace_existing</dt>
<dd>(<code>logical</code>) if TRUE, existing labels will be replaced;
if FALSE, only variables without labels will be updated.</dd></dl>

Arguments

Relabel Variables in a Dataset — var_relabel_list

<dl>

<dt>x</dt>
<dd>(<code>data.frame</code>) dataset containing variables to be relabeled.</dd>


<dt>lbl_list</dt>
<dd>(<code>list</code>) named list of labels to apply to variables.</dd>


<dt>replace_existing</dt>
<dd>(<code>logical</code>) if TRUE, existing labels will be replaced;
if FALSE, only variables without labels will be updated.</dd>

</dl>

var_relabel_list: Relabel Variables in a Dataset

Description

Usage

Value

Arguments