fold

A binary function, i.e. a function take takes two arguments.

If `TRUE`, vector is combined from the left (the first element),
otherwise the right (the last element).

left

If `TRUE`, function `f` is called as `f(unname(y), x[[ii]])`,
otherwise as `f(y, x[[ii]])`, which may introduce name `"y"`.

unname

An integer (&gt;= 2) specifying the length where the
recursive divide-and-conquer call will stop and incremental building of
the partial value is performed. Using `threshold = +Inf` will disable
recursive folding.

threshold

Efficient fold / reduce / accumulate / combine of a vector

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(multiprocess)`.
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.

fold: Efficient fold / reduce / accumulate / combine of a vector

Description

Usage

Arguments

Value

Details