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

Jeff Newmiller jdnewm|| @end|ng |rom dcn@d@v|@@c@@u@
Thu May 7 08:22:46 CEST 2020


There is no executable that can run on any OS. As for python... it is hardly the only game in town for building executables, but it and those other options are off topic here.

On May 6, 2020 10:53:00 PM PDT, 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]]
>> >
>> >______________________________________________
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>> >and provide commented, minimal, self-contained, reproducible code.
>>
>> --
>> Sent from my phone. Please excuse my brevity.
>>

-- 
Sent from my phone. Please excuse my brevity.



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