4 ms·
At this point, the tidyverse packages probably cover >90% of my data analysis workflow, so it'd be great to see all of those compatible with FastR. I'd guess ti
by truculent 8y ago
At this point, the tidyverse packages probably cover >90% of my data analysis workflow, so it'd be great to see all of those compatible with FastR. I'd guess tidyr and dplyr would be the trickiest, and dplyr is already being being worked on!
Great work, thank you for sharing.
- steve_s 8y agoFastR can actually run all tests of the development version of dplyr with a simple patch. We're working on removing the need for that patch altogether. data.table is a different beast and we will probably provide and maintain patched version for FastR. They do things like casting data of internal R structure to byte array and then memcopy it to another R structure. This is very tricky to emulate if your data structures actually live on Java side and you're handing out only some handles to the native code.
- truculent 8y agoThat's awesome! Personally, I don't use data.table much/at all, so (selfishly) that's not an issue for me.