R: Serial versions of 'mclapply', 'mcmapply' and 'pvec'

mclapply {parallel}

R Documentation

Serial versions of `mclapply`, `mcmapply` and `pvec`

Description

These are simple serial versions of mclapply, mcmapply, mcMap and pvec for Windows where forking is not available.

Usage

mclapply(X, FUN, ..., mc.preschedule = TRUE, mc.set.seed = TRUE,
         mc.silent = FALSE, mc.cores = 1L,
         mc.cleanup = TRUE, mc.allow.recursive = TRUE)

mcmapply(FUN, ..., MoreArgs = NULL, SIMPLIFY = TRUE, USE.NAMES = TRUE,
        mc.preschedule = TRUE, mc.set.seed = TRUE,
        mc.silent = FALSE, mc.cores = 1L, mc.cleanup = TRUE)

mcMap(f, ...)

pvec(v, FUN, ..., mc.set.seed = TRUE, mc.silent = FALSE,
     mc.cores = 1L, mc.cleanup = TRUE)

Arguments

`X`	a vector (atomic or list) or an expressions vector. Other objects (including classed objects) will be coerced by `as.list`.
`v`	vector to operate on.
`FUN`	the function to be applied to each element of `X` or `v`, or in parallel to `...` .
`f`	the function to be applied in parallel to `...`.
`...`	For `mclapply` and `pvec`, optional arguments to `FUN`. For `mcmapply` and `mcMap`, vector or list inputs: see `mapply`.
`MoreArgs, SIMPLIFY, USE.NAMES`	see `mapply`.
`mc.preschedule, mc.set.seed, mc.silent, mc.cleanup, mc.allow.recursive`	Ignored on Windows.
`mc.cores`	The number of cores to use, i.e. at most how many child processes will be run simultaneously. Must be exactly 1 on Windows (which uses the master process).

Details

mclapply calls lapply and pvec makes a single call FUN(v, ...). On Unix-alikes mc.cores > 1 is allowed and uses parallel operations.

Value

For mclapply, a list of the same length as X and named by X.

For mcmapply, a list, vector or array: see mapply.

For mcMap, a list.

For pvec, a vector of the same length as v.