How can I access Windows COM objects in R v3?

Question

Some time ago, you used to be able to install the rcom package in R to use COM scripting (eg, access to external programs.) Unfortunately, it seems to be discontinued:

Answer 1

I looked at the rcom source code a few months ago. It seems I can get it to build and install OK on R3.0.1. Below is the procedure if it helps.

• Get a checkout of the latest source code of rcom. I have rcom_2.2-5.tar.gz locally. I can google something at the following address, but I have no idea of the provenance, so up to you to check it is legit. http://cran.open-source-solution.org/web/packages/rcom/index.html
• in R do install.packages('rscproxy')
• install Rtools as per the instructions on the R web site (http://cran.r-project.org/bin/windows/Rtools),
• open a Windows command prompt i.e. run "CMD"

• go to the folder containing the 'rcom' folder, and at the command prompt:

  set R="c:\Program Files\R\R-3.0.1\bin\i386\R.exe"
  %R% CMD check --no-manual rcom
  

• check it passes without too many complaints. Your call as to the --no-manual option (if you have MiKTeX installed you may remove it)

  %R% CMD INSTALL rcom
  

should result in

    installing to c:/Rlib/rcom/libs/i386
    ** R
    ** inst
    ** preparing package for lazy loading
    ** help
    *** installing help indices
    ** building package indices
    ** testing if installed package can be loaded
    rcom requires a current version of statconnDCOM installed.
    To install statconnDCOM type
         installstatconnDCOM()
    This will download and install the current version of statconnDCOM
    You will need a working Internet connection
    because installation needs to download a file.
    * DONE (rcom)

• in R:

  library(rcom)
  installstatconnDCOM()
  

• I tried a comRegisterRegistry() ; comRegisterServer() ; x<-comGetObject("Excel.Application") but I get a NULL for x. I am not a user of rcom so while it all seems to compile fine; it may just not work anymore.

If you happen to need to access .NET code, a viable option (and yes I have a vested interest in mentioning it) may be the rClr package.

Hope this helps; I'd be interested to hear how you go.