New article on speeding up R by parallelization

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I have a new article on speeding up R by parallelization that I want to share: Speed up your R Work. I show how to speed up code from any of the packages data.table, dplyr, or rqdatatable (and it also works with base-R). In particular I think the rquery/rqdatatable packages are really going to be something big, if given the chance. Please try them out!

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Have you considered setDTthreads(1) for the data.table code to avoid nested parallelism and to separate the data.table and parallel components?

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Good point for timings. For actual execution I think just leaving the threads "as is" is fine.