R: Parallel lapply-like functionality

bplapply {BiocParallel}

R Documentation

Parallel lapply-like functionality

Description

bplapply applies FUN to each element of X. Any type of object X is allowed, provided length, [, and [[ methods are available. The return value is a list of length equal to X, as with lapply.

Usage

bplapply(X, FUN, ..., BPREDO = list(), BPPARAM=bpparam())

Arguments

`X`	Any object for which methods `length`, `[`, and `[[` are implemented.
`FUN`	The `function` to be applied to each element of `X`.
`...`	Additional arguments for `FUN`, as in `lapply`.
`BPPARAM`	An optional `BiocParallelParam` instance determining the parallel back-end to be used during evaluation, or a `list` of `BiocParallelParam` instances, to be applied in sequence for nested calls to BiocParallel functions.
`BPREDO`	A `list` of output from `bplapply` with one or more failed elements. When a list is given in `BPREDO`, `bpok` is used to identify errors, tasks are rerun and inserted into the original results.

Details

See showMethods{bplapply} for additional methods, e.g., method?bplapply("MulticoreParam").

Value

See lapply.

Author(s)

Martin Morgan mailto:mtmorgan@fhcrc.org. Original code as attributed in mclapply.

Examples

showMethods("bplapply")

## ten tasks (1:10) so ten calls to FUN default registered parallel
## back-end. Compare with bpvec.
fun <- function(v) {
    message("working") ## 10 tasks
    sqrt(v)
}
bplapply(1:10, fun)

[Package BiocParallel version 1.12.0 Index]