register_module

Before running the shinyscholar application with
<code>run_shinyscholar()</code>, you can register your own modules to be used in
shinyscholar.

Create a skeleton 'shiny' application with create_template() that is
reproducible, can be saved and meets academic standards for attribution.
Forked from 'wallace'. Code is split into modules that are loaded and linked
together automatically and each call one function. Guidance pages explain
modules to users and flexible logging informs them of any errors. Options
enable asynchronous operations, viewing of source code, interactive maps and
data tables. Use to create complex analytical applications, following best
practices in open science and software development. Includes functions for
automating repetitive development tasks and an example application at
run_shinyscholar() that requires
install.packages("shinyscholar", dependencies = TRUE). A guide to developing
applications can be found on the package website.

Simon Smart

shinyscholar

A Template for Creating Reproducible 'shiny' Applications

Simon E. H. Smart

Tim Lucas

Jamie M. Kass

Gonzalo E. Pinilla-Buitrago

Andrea Paz

Bethany A. Johnson

Valentina Grisales-Betancur

Dean Attali

Matthew E. Aiello-Lammens

Cory Merow

Mary E. Blair

Robert P. Anderson

Sarah I. Meenan

Olivier Broennimann

Peter J. Galante

Brian S. Maitner

Hannah L. Owens

Sara Varela

Bruno Vilela

Robert Muscarella

register_module function

<dl><dt>config_file</dt>
<dd>The path to a YAML file that contains the information about
one or more modules.</dd></dl>

Arguments

Register a shinyscholar module — register_module

<dl>

<dt>config_file</dt>
<dd>The path to a YAML file that contains the information about
one or more modules.</dd>

</dl>

Register a shinyscholar module

register_module: Register a shinyscholar module

Description

Usage

Value

Arguments

See Also