plan_analyses

Workflow plan data frame of analysis methods.
The commands in the <code>command</code> column must
have the <code>dataset__</code> wildcard where the datasets go.
For example, one command could be <code>lm(dataset__)</code>. Then,
the commands in the output will include <code>lm(your_dataset_1)</code>,
<code>lm(your_dataset_2)</code>, etc.

plan

Workflow plan data frame with instructions
to make the datasets.

datasets

character Scalar, delimiter for creating
the names of new targets.

Use <code><a rd-options="=drake_plan" href="/link/drake_plan()?package=drake&version=7.1.0&to=%3Ddrake_plan" data-mini-rdoc="=drake_plan::drake_plan()">drake_plan()</a></code> instead.
See <a href="https://ropenscilabs.github.io/drake-manual/plans.html#large-plans">https://ropenscilabs.github.io/drake-manual/plans.html#large-plans</a>
for details.

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

plan_analyses function

Use <code><a rd-options='=drake_plan' href='drake_plan()'>drake_plan()</a></code> instead.
See <a href='https://ropenscilabs.github.io/drake-manual/plans.html#large-plans'>https://ropenscilabs.github.io/drake-manual/plans.html#large-plans</a>
for details.

plan_analyses: Deprecated.

Description

Usage

Arguments

Value

Details

Examples