R is not designed as an application development programming language. Your question is a bit like asking why a car does not float like a boat. If you want to distribute analyses broadly then you are likely to either need to do it using a server or to expect users to become somewhat familiar with R. Also, IANAL but don't forget that you will probably have obligations under the GPL if you modify R to fit it into a deployable application. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity.
On September 28, 2015 1:23:43 AM PDT, "Ali M." <tclwarr...@gmail.com> wrote: >I am new to R >And while learning the language inside the dev tools is easy and fun > >I wonder how R applications are deployed and distributed to the typical >business users > >I searched online of course and found some commercial options >The revolution r enterprise platform >Shiny r server from the makers of r-studio >There was also a video on youtube about a company wrapping their R >application in tcl/tk gui apps > >But what else is available, what are the best practices ? is there free >alternatives to the commercial options i mentioned above? > >Thanks >Ali > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@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. ______________________________________________ R-help@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.