par_lapply

Simple wrapper around <code>lapply</code> and <code><a href="/link/parallel%3A%3AclusterApplyLB?package=junco&version=0.1.2" data-mini-rdoc="junco::parallel::clusterApplyLB">parallel::clusterApplyLB</a></code> to abstract away
the logic of deciding which one to use.

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

par_lapply function

<dl><dt>cl</dt>
<dd>(<code>cluster object</code>) Cluster created by <code><a href="/link/parallel%3A%3AmakeCluster()?package=junco&version=0.1.2" data-mini-rdoc="junco::parallel::makeCluster()">parallel::makeCluster()</a></code> or <code>NULL</code></dd>
<dt>fun</dt>
<dd>(<code>functions</code>) Function to be run</dd>
<dt>x</dt>
<dd>(<code>object</code>) Object to be looped over</dd>
<dt>...</dt>
<dd>Extra arguments passed to <code>fun</code></dd></dl>

Arguments

Simple wrapper around <code>lapply</code> and <code><a href='https://rdrr.io/r/parallel/clusterApply.html'>parallel::clusterApplyLB</a></code> to abstract away
the logic of deciding which one to use.

Parallelise Lapply — par_lapply

<dl>

<dt>cl</dt>
<dd>(<code>cluster object</code>) Cluster created by <code><a href='https://rdrr.io/r/parallel/makeCluster.html'>parallel::makeCluster()</a></code> or <code>NULL</code></dd>


<dt>fun</dt>
<dd>(<code>functions</code>) Function to be run</dd>


<dt>x</dt>
<dd>(<code>object</code>) Object to be looped over</dd>


<dt>...</dt>
<dd>Extra arguments passed to <code>fun</code></dd>

</dl>

par_lapply: Parallelise Lapply

Description

Usage

Value

Arguments