save_rds

Robustly Saves an Object to RDS File Atomically

internal

The purpose of this package is to provide a lightweight and
unified Future API for sequential and parallel processing of R
expression via futures. The simplest way to evaluate an expression
in parallel is to use `x %<-% { expression }` with `plan(multisession)`.
This package implements sequential, multicore, multisession, and
cluster futures. With these, R expressions can be evaluated on the
local machine, in parallel a set of local machines, or distributed
on a mix of local and remote machines.
Extensions to this package implement additional backends for
processing futures via compute cluster schedulers, etc.
Because of its unified API, there is no need to modify any code in order
switch from sequential on the local machine to, say, distributed
processing on a remote compute cluster.
Another strength of this package is that global variables and functions
are automatically identified and exported as needed, making it
straightforward to tweak existing code to make use of futures.

Henrik Bengtsson

future

Unified Parallel and Distributed Processing in R for Everyone

save_rds function

<dl><dt>object</dt>
<dd>The R object to be save.</dd>
<dt>pathname</dt>
<dd>RDS file to written.</dd>
<dt>...</dt>
<dd>(optional) Additional arguments passed to <code><a href="/link/base%3A%3AsaveRDS()?package=future&version=1.30.0" data-mini-rdoc="future::base::saveRDS()">base::saveRDS()</a></code>.</dd></dl>

Arguments

Robustly Saves an Object to RDS File Atomically — save_rds

<dl>

<dt>object</dt>
<dd>The R object to be save.</dd>


<dt>pathname</dt>
<dd>RDS file to written.</dd>


<dt>...</dt>
<dd>(optional) Additional arguments passed to <code><a href='https://rdrr.io/r/base/readRDS.html'>base::saveRDS()</a></code>.</dd>

</dl>

save_rds: Robustly Saves an Object to RDS File Atomically

Description

Usage

Value

Arguments

Details