[R] Working with very large datasets and generating an executable file

[Paul Bernal]

That could be the answer, yes.

El jue., 7 de mayo de 2020 1:22 a. m., <cpolwart using chemo.org.uk> escribió:

> Or maybe a Shiny Application?
>
> On 7 May 2020 06:53, Paul Bernal <paulbernal07 using gmail.com> wrote:
>
> Dear Jeff,
>
> Thank you for the feedback. So, after reading your comments, it seems
> that,
> in order to develop an executable model that could be run in any OS,
> python
> might be the way to go then?
>
> I appreciate all of your valuable responses.
>
> Best regards,
>
> Paul
>
> El mié., 6 de mayo de 2020 6:22 p. m., Jeff Newmiller <
> jdnewmil using dcn.davis.ca.us> escribió:
>
> > Large data... yes, though how this can be done may vary. I have used
> > machines with 128G of RAM before with no special big data packages.
> >
> > Making an executable... theoretically, yes, though there are some
> > significant technical (and possibly legal) challenges that will most
> likely
> > make you question whether it was worth it if you try, particularly if
> your
> > intent is to obscure your code from the recipient. I (as a random user
> and
> > programmer on the Internet) would strongly discourage such efforts... it
> > will almost certainly be more practical to deliver code in
> script/package
> > form.
> >
> > On May 6, 2020 2:20:47 PM PDT, Paul Bernal <paulbernal07 using gmail.com>
> wrote:
> > >Dear R friends,
> > >
> > >Hope you are doing well. I have two questions, the first one is, can I
> > >work
> > >with very large datasets in R? That is, say I need to test several
> > >machine
> > >learning algorithms, like (random forest, multiple linear regression,
> > >etc.)
> > >on datasets having between 50 to 100 columns and 20 million
> > >observations,
> > >is there any way that R can handle data that large?
> > >
> > >The second question is, is there a way I can develop an R model and
> > >turn it
> > >into an executable program that can work on any OS?
> > >
> > >Any help and/or guidance will be greatly appreciated,
> > >
> > >Best regards,
> > >
> > >Paul
> > >
> > >       [[alternative HTML version deleted]]
> > >
> > >______________________________________________
> > >R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> > >PLEASE do read the posting guide
> > >http://www.R-project.org/posting-guide.html
> > >and provide commented, minimal, self-contained, reproducible code.
> >
> > --
> > Sent from my phone. Please excuse my brevity.
> >
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
>

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