target_namespaces

<p>name of the default <code>storr</code> namespace</p>

default

<p>Ordinary users do not need to worry about this function.
It is just another window into <code>drake</code>'s internals.</p>

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 Marwick

Peter Slaughter

Ben Bond-Lamberty

 Eli Lilly and Company

target_namespaces function

For drake caches,
list the <code>storr</code> cache namespaces
that store target-level information. — target_namespaces

For drake caches,
list the <code>storr</code> cache namespaces
that store target-level information.

target_namespaces: For drake caches, list the `storr` cache namespaces that store target-level information.

Description

Usage

Arguments

Value

See Also

Examples