Your question seems like an information-free zone. "Quick" is an opinion unless you set the boundaries of your question much more precisely. The Posting Guide strongly recommends providing a reproducible example of what you want to discuss. In this case I would suggest that you use the microbenchmark package to quantify "quick" or "not quick".
In my experience, the most significant factors affecting speed are algorithms and features. You may be comparing a general purpose complete analysis function in one environment with a specific part of that analysis in another environment. On June 12, 2019 7:36:13 AM PDT, "Kai Lähteenmäki" <kai.j.lahteenm...@gmail.com> wrote: >I tested Microsoft's linear algebra etc "racer", works well >Alsp simmer seems to be very quick. >How other developments in getting R quick? >reg Kai > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide >http://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. -- Sent from my phone. Please excuse my brevity. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
