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future.apply (version 1.3.0)

Apply Function to Elements in Parallel using Futures

Description

Implementations of apply(), by(), eapply(), lapply(), Map(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.

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Install

install.packages('future.apply')

Monthly Downloads

224,447

Version

1.3.0

License

GPL (>= 2)

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Maintainer

Henrik Bengtsson

Last Published

June 18th, 2019

Functions in future.apply (1.3.0)

future_Map

Apply a Function to Multiple List or Vector Arguments
future_eapply

Apply a Function over a List or Vector via Futures
fold

Efficient Fold, Reduce, Accumulate, Combine of a Vector
future.apply

future.apply: Apply Function to Elements in Parallel using Futures
makeChunks

Create Chunks of Index Vectors
future_apply

Apply Functions Over Array Margins via Futures
make_rng_seeds

Produce Reproducible Seeds for Parallel Random Number Generation
future_by

Apply a Function to a Data Frame Split by Factors via Futures