[R] Mac/PC differences in lmer results
o||v|er@crouzet @end|ng |rom un|v-n@nte@@|r
Wed Jun 5 12:32:28 CEST 2019
32bit vs. 64bit systems?
Another thing I would look at would be how the windows machine will
read the data file. Though issues should probably only arise with
respect to text data, I've often experienced problems with reading
unicode csv files on windows computers compared with unix-based
computers. No guarantee though, just suggestions...
On Wed, 5 Jun 2019 12:15:53 +0200
Nicolas Schuck <nico.schuck using gmail.com> wrote:
> bert: you are right, sorry for not cc-ing the list. thanks also for
> the hint.
> I wanted to bring this up here again, emphasising that we do find in
> at least one case *a very large difference* in the p value, using the
> same scripts and data on a windows versus mac machine (see
> reproducible example in the gitlab link posted below). I have now
> come across several instances in which results of (g)lmer models
> don’t agree on windows vs unix-based machines, which I find a bit
> disturbing. any ideas where non-negligible differences could come
> > On 30. May 2019, at 16:58, Bert Gunter <bgunter.4567 using gmail.com>
> > wrote:
> > Unless there us good reason not to, always cc the list. I have done
> > so here.
> > The R Installation manual has some info on how to use different
> > BLASes I believe, but someone with expertise (I have none) needs to
> > respond to your queries.
> > On Thu, May 30, 2019 at 7:50 AM Nicolas Schuck
> > <nico.schuck using gmail.com <mailto:nico.schuck using gmail.com>> wrote: I
> > know that it is in use on the Mac, see sessionInfo below. I have to
> > check on the Win system. Why would that make such a difference and
> > how could I make the Win get the same results as the Unix Systems?
> > R version 3.6.0 (2019-04-26)
> > Platform: x86_64-apple-darwin15.6.0 (64-bit)
> > Running under: macOS Mojave 10.14.5
> > Matrix products: default
> > BLAS: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
> > LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
> > Random number generation:
> > RNG: Mersenne-Twister
> > Normal: Inversion Sample: Rounding
> > locale: 
> > en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
> > attached base packages:  stats graphics grDevices utils
> > datasets methods base Thanks, Nico On 30. May 2019, at 16:34,
> > Bert Gunter <bgunter.4567 using gmail.com
> > <mailto:bgunter.4567 using gmail.com>> wrote:
> >> The BLAS in use on each?
> >> Bert Gunter
> >> "The trouble with having an open mind is that people keep coming
> >> along and sticking things into it."
> >> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
> >> On Thu, May 30, 2019 at 5:27 AM Nicolas Schuck
> >> <nico.schuck using gmail.com <mailto:nico.schuck using gmail.com>> wrote: Dear
> >> fellow R coders,
> >> I am observing differences in results obtained using glmer when
> >> using a Mac or Linux computer versus a PC. Specifically, I am
> >> talking about a relatively complex glmer model with a nested
> >> random effects structure. The model is set up in the following
> >> way: gcctrl = glmerControl(optimizer=c('nloptwrap'), optCtrl = list
> >> (maxfun = 500000), calc.derivs = FALSE)
> >> glmer_pre_instr1 = glmer(
> >> formula = cbind(FREQ, NSAMP-FREQ) ~ FDIST_minz + poly
> >> (RFREQ,2) + ROI + (1 + FDIST_minz + RFREQ + ROI|ID/COL), data =
> >> cdf_pre_instr, family = binomial,
> >> control = gcctrl)
> >> Code and data of an example for which I find reproducible,
> >> non-negligible differences between Mac/Win can be found here:
> >> https://gitlab.com/nschuck/glmer_sandbox/tree/master
> >> <https://gitlab.com/nschuck/glmer_sandbox/tree/master>
> >> <https://gitlab.com/nschuck/glmer_sandbox/tree/master
> >> <https://gitlab.com/nschuck/glmer_sandbox/tree/master>> The
> >> differences between the fitted models seem to be most pronounced
> >> regarding the estimated correlation structure of the random
> >> effects terms. Mac and Linux yield very similar results, but
> >> Windows deviates quite a bit in some cases. This has a large
> >> impact on p values obtained when performing model comparisons. I
> >> have tried this on Mac OS 10.14, Windows 10 and Ubuntu and Debian.
> >> All systems I have tried are using lme 1.1.21 and R 3.5+.
> >> Does anyone have an idea what the underlying cause might be?
> >> Thanks,
> >> Nico
> >> [[alternative HTML version deleted]]
> >> ______________________________________________
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> >> <http://www.r-project.org/posting-guide.html> and provide
> >> commented, minimal, self-contained, reproducible code.
> [[alternative HTML version deleted]]
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> PLEASE do read the posting guide
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> minimal, self-contained, reproducible code.
Olivier Crouzet, PhD
/Maître de Conférences/
@LLING - Laboratoire de Linguistique de Nantes
UMR6310 CNRS / Université de Nantes
@UMCG (University Medical Center Groningen)
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