Benchmarking for loops vs apply and others

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  • db-benchmark

    reproducible benchmark of database-like ops

    This is a much more comprehensive set of benchmarks:

  • collapse

    Advanced and Fast Data Transformation in R (by SebKrantz)

    If you are looking for performance I would recommend to check the collapse package. The following line "collapse" = collapse::fsum(df_datatable$x, g=df_datatable$g) is around 2x faster than base::rowsum, and the dplyr style syntax doesn't add that much of an overhead "collapse dplyr" = df_datatable |> fgroup_by(g) |> fsum(x)

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