future.apply v1.2.0


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Apply Function to Elements in Parallel using Futures

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.

Functions in future.apply

Name Description
makeChunks Create Chunks of Index Vectors
future_eapply Apply a Function over a List or Vector via Futures
future_Map Apply a Function to Multiple List or Vector Arguments
future_apply Apply Functions Over Array Margins via Futures
future_by Apply a Function to a Data Frame Split by Factors via Futures
fold Efficient Fold, Reduce, Accumulate, Combine of a Vector
future.apply future.apply: Apply Function to Elements in Parallel using Futures
make_rng_seeds Produce Reproducible Seeds for Parallel Random Number Generation
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VignetteBuilder R.rsp
License GPL (>= 2)
LazyLoad TRUE
URL https://github.com/HenrikBengtsson/future.apply
BugReports https://github.com/HenrikBengtsson/future.apply/issues
RoxygenNote 6.1.1
NeedsCompilation no
Packaged 2019-03-06 23:39:20 UTC; hb
Repository CRAN
Date/Publication 2019-03-07 06:52:54 UTC

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