[R] Error: vector memory exhausted (limit reached?)

Patrick (Malone Quantitative) m@|one @end|ng |rom m@|onequ@nt|t@t|ve@com
Mon Nov 2 21:27:49 CET 2020


Re-looping R-help. My error.

Hannah, I can't tell you how much RAM your computer has, certainly not how
much is free for R's use.  Just that you are  probably not going to be able
to load a dataset that Large into a 2017 MacBook.

On Mon, Nov 2, 2020, 3:20 PM Hannah Van Impe <hannahvanimpe using outlook.com>
wrote:

> Thank you very much,
> would it be possible to merge multiple smaller datasets into this one
> dataset?
> How much RAM would be possible for one dataset on laptop scales?
> I need to work with this data for the university, so it would be best if I
> could work with the whole dataset.
> Thank you!
>
> > Op 2 nov. 2020, om 21:16 heeft Patrick (Malone Quantitative) <
> malone using malonequantitative.com> het volgende geschreven:
> >
> > The error probably means what it says. I'm guessing "25 GB available"
> > is on the hard drive. But the issue is the data must be held in RAM,
> > and a file >4GB (before de-compression) is quite a lot of RAM on
> > laptop scales.
> >
> > Try taking a subset of the data in Stata before importing?
> >
> > Pat
> >
> >
> > On Mon, Nov 2, 2020 at 3:09 PM Hannah Van Impe
> > <hannahvanimpe using outlook.com> wrote:
> >>
> >> Hello
> >>
> >> I have a question about the error: vector memory exhausted (limit
> reached?). I have the R-studio version 4.0.3 (2020-10-10).
> >> I have a MacBook Air (13-inch, 2017). I am trying to open a dataset
> file ‘data_dta’ through the import dataset ‘file from stata’ button.
> >> I already did this with other datasets, and this works fine. Now, I
> want to work with a bigger dataset of 4.08 GB. When I try to open the
> dataset, I get this error: vector memory exhausted (limit reached?).
> >> What can I do about this? I still have 25 GB available on my laptop.
> >>
> >> Thank you very much
> >> Hannah Van Impe
> >> ______________________________________________
> >> R-help using 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.
> >
> >
> >
> > --
> > Patrick S. Malone, Ph.D., Malone Quantitative
> > NEW Service Models: http://malonequantitative.com
> >
> > He/Him/His
>
>

	[[alternative HTML version deleted]]



More information about the R-help mailing list