Working with very large datasets and generating an executable file

Or maybe a Shiny Application?

On 7 May 2020 06:53, Paul Bernal <paulbernal07 at 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 mi?., 6 de mayo de 2020 6:22 p. m., Jeff Newmiller <
jdnewmil at dcn.davis.ca.us> escribi?:

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 at 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

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

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