Hi Kevin, It might be just as easy to write R scripts that would do basic analyses. Users could "source" these scripts in an R session or from the command line. The scripts would be much more compact than the .exe files that you describe.
Jim On Tue, Sep 11, 2018 at 8:06 AM Kevin Kowitski via R-help <r-help@r-project.org> wrote: > > Hey Everyone, > > I do not know if this topic has been covered, I'm sure it must have, but is > there a good environment for packaging R code into a distributed exe. (which > includes all of the required libraries, etc.)? I have seen that Shiny is a > good GUI / Web library for sharing R programs, but I have never used it. > > What is the groups input on this? > > My goal is to create some basic tools (with interfaces) at work for analyzing > .csv files and generating basic graphs and output csv files. These tools > would be distributed to team members to have on their desktops. I > considered doing this in Java, but I am more well versed in R so it would be > quicker for me to whip up the varying tools in R than re-learning Java. > > Thank you! > > -Kevin > ______________________________________________ > 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.
