Hi Abby,

After running a few tests on my local and remote versions of R, this seems
to be the most plausible answer to the problem. I put set.seed(123)
several times within my code and produced the same results but would rather
not have to do that if possible.


On Sat, Aug 8, 2020 at 6:05 PM Abby Spurdle <spurdl...@gmail.com> wrote:

> Hi Kevin,
>
> Intuitively, the first step would be to ensure that all versions of R,
> and all the R packages, are the same.
>
> However, you mention HPC.
> And the glmnet package imports the foreach package, which appears
> (after a quick glance) to support multi-core and parallel computing.
>
> If your code uses parallel computing (?), you may need to look at how
> random numbers, and related results, are handled...
>
>
> On Sun, Aug 9, 2020 at 1:14 AM Kevin Egan <kevinega...@gmail.com> wrote:
> >
> > I posted this question:
> >
> > I am currently using R , RStudio , and a remote computer (using an R
> script) to run the same code. I start by using set.seed(123) in all three
> versions of the code, then using glmnet to assess a matrix. Ultimately, I
> am having trouble reproducing the results between my local and the remote
> computer's results. I am using R version 4.0.2 locally, and R version 3.6.0
> remote.
> >
> > After running several tests, I'm wondering if there is a difference
> between the two versions in R which may lead to slightly different
> coefficients. If anyone has any insight I would appreciate it.
> >
> > Thanks.
> >
> > and found that there were slight differences between using rnorm with
> R-4.0.2 and R-3.6.0 but did not find any differences for runif between both
> systems. In my original code, I am using rnorm and was wondering if this
> may be the reason I am finding slight differences in coefficients for
> glmnet and lars testing between using my local computer (R-4.0.2) and my
> remote computer (R-3.6.0). I am running my code locally on a MacOSX and
> remote on what I believe is an HPC.
> >
> > Thanks.
> >         [[alternative HTML version deleted]]
> >
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> > and provide commented, minimal, self-contained, reproducible code.
>

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