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`.

### See Also

- `bpvec` for parallel, vectorized calculations.

- `BiocParallelParam` for possible values of `BPPARAM`.

### 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 1.14.2 Index]