You might now be wondering, "which package should we use?"
The dplyr and data.table packages provide a spectacularly different syntax and a slightly less determinative difference in performance. Although data.table seems to be slightly more effective on larger datasets, there is no clear winner in this spectrum—except for doing aggregations on a high number of groups. And to be honest, the syntax of dplyr, provided by the magrittr package, can be also used by the data.table objects if needed.
Also, there is another R package that provides pipes in R, called the pipeR package, which claims to be a lot more effective on larger datasets than magrittr. This performance gain is due to the fact that the pipeR operators do not try to be smart like the F# language's |>-compatible operator in magrittr. Sometimes, this performance overhead is estimated to be 5-15 times more than the ones where no pipes are used at all.