[R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?

[Douglas Bates]

The procedure is fairly simple - just rewrite the lme4 package from
scratch. :-)

On Thu, Jan 18, 2018 at 2:03 PM Nicolas Bédère <n.bedere at gmail.com> wrote:

> I want to run the *glmer* procedure on a “large” dataset (250,000
> observations). The model includes 5 fixed effects, 2 interactions terms and
> 3 random effects. It takes more than 15 min to run on my laptop (recent
> intel core i7, RAM = 4GO). Thus, the IT department of the University I am
> working at developed a Rstudio server based on the Ubuntu system. My
> problem is that 8 cores are available on this server but when I run the
> *glmer
> *procedure, only 1 of them is being used and it takes more than 1h to get
> the results... How can I solve that problem and improve time efficiency? I
> found on google I may have to use the parallel procedure but (i) I am not
> familiar at all with those informatics procedures and they look a bit
> complicated, (ii) the code I picked works with other functions in other
> packages such as *kmeans{stats}* (
>
> https://stackoverflow.com/questions/29998718/how-can-i-make-r-use-more-cpu-and-memory
> )
> but neither with *lmer *nor *glmer.*
>
>
>
> Can you please help with a simple procedure to tackle the problem?
>
>
> Many thanks !
>
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