rs_addin_r_vis_drake_graph

List of arguments to <code>r_fn</code>, not including <code>func</code> or <code>args</code>.
Example: <code>r_make(r_fn = callr::r_bg, r_args = list(stdout = "stdout.log"))</code>.

r_args

Logical, whether to <code>print()</code> the result
to the console. Required for the addin.

.print

Call <code><a rd-options="=r_vis_drake_graph" href="/link/r_vis_drake_graph()?package=drake&version=7.5.2&to=%3Dr_vis_drake_graph" data-mini-rdoc="=r_vis_drake_graph::r_vis_drake_graph()">r_vis_drake_graph()</a></code> in an RStudio addin.

internal

A general-purpose computational engine for data analysis,
drake rebuilds intermediate data objects when their dependencies change,
and it skips work when the results are already up to date.
Not every execution starts from scratch,
there is native support for parallel and distributed computing,
and completed projects have tangible evidence
that they are reproducible.
Extensive documentation, from beginner-friendly tutorials
to practical examples and more, is available at the reference website
<https://ropensci.github.io/drake/> and the online manual
<https://ropenscilabs.github.io/drake-manual/>.

Landau William

drake

A Pipeline Toolkit for Reproducible Computation at Scale

Alex Axthelm

Jasper Clarkberg

Kirill M<c3><bc>ller

Ben Bond-Lamberty

Tristan Mahr

Miles McBain

Ben Marwick

Peter Slaughter

 Eli Lilly and Company

rs_addin_r_vis_drake_graph function

Call <code><a rd-options='=r_vis_drake_graph' href='r_vis_drake_graph()'>r_vis_drake_graph()</a></code> in an RStudio addin.

rs_addin_r_vis_drake_graph: RStudio addin for r_vis_drake_graph()

Description

Usage

Arguments

Value