> On 13 Dec 2018, at 14:37, Martin Maechler wrote: > >>>>>> Peter Dalgaard >>>>>> on Wed, 12 Dec 2018 22:12:34 +0100 writes: > >> I don't think there has been anything mentioned about slowdowns of that magnitude, but it's been 3.5 years since 3.1.3. >> Would it be possible to narrow down what kind of code has become slow? > >> Since the OS version is different, I assume the first timing is historical and not easily redone, but if it is now using like 70 times as long as before, chances are that it is spending 69/70 of the time in the same few places. > >> One generic frequent cause of grief with simulations is to keep onto the fitted models in entirety, including model frames etc., causing massive memory build-up. > >> -pd > > If the simulationR-R.R script is basically reproducible > (i.e. does not use data or other resources that only exist on > your computer), it would probably be useful if you "donated" > it to the R project by making it publicly available. Some of > us do have many old R versions still running, and could quickly > try and see... > > Martin Maechler (not a Mac user though) > >>> On 12 Dec 2018, at 17:39 , Cowan, R (MERIT) wrote: >>> >>> I am running a small simulation, and getting very different run times when I use different versions of R. >>> Two set-ups using the same machine (MacBook Pro 2013 vintage) >>> >>> 1. R version 3.1.3 running on system OS X 10.9.5 >>> >>>> system.time(source("simulationR-R.R")) >>> >>> user system elapsed >>> 3.890 0.061 3.965 >>> >>> Compared to >>> >>> 2. R version 3.5.1 running on system OS X 10.12.6 >>> >>>> system.time(source("simulationR-R.R")) >>> >>> user system elapsed >>> 277.924 2.087 280.841 >>> >>> The source code is identical. This is a pretty big difference running the same code on the same hardware. >>> Before submitting the code, is this a known issue? >>> >>> >>> Thanks, >>> Robin Cowan >>> _______________________________________________ >>> R-SIG-Mac mailing list >>> R-SIG-Mac@r-project.org >>> https://stat.ethz.ch/mailman/listinfo/r-sig-mac > >> -- >> Peter Dalgaard, Professor, >> Center for Statistics, Copenhagen Business School >> Solbjerg Plads 3, 2000 Frederiksberg, Denmark >> Phone: (+45)38153501 >> Office: A 4.23 >> Email: pd.mes@cbs.dk Priv: PDalgd@gmail.com > > >