[R] [SPAM] - Re: R package development in windows - BayesianFilter detected spam

Duncan Murdoch murdoch at stats.uwo.ca
Sat May 5 14:06:22 CEST 2007

On 05/05/2007 8:00 AM, Gabor Grothendieck wrote:
> I think that should be the default in order to protect the user.  Protecting
> the user from this sort of annoying conflict is important for a professionally
> working product that gets along with the rest of the Windows system.

I don't, because R building requires simulation of a subset of a Unix 
environment, so in case of a Unix/Windows conflict, Unix should win. 
For example none of the Makefiles use backslashes as path separators, 
they all use Unix-style forward slashes.

Duncan Murdoch

> On 5/5/07, Duncan Murdoch <murdoch at stats.uwo.ca> wrote:
>> On 04/05/2007 9:32 PM, Gabor Grothendieck wrote:
>>> It certainly would be excellent if installing perl could be eliminated.
>>> One additional thing that I really dislike about the R installation is that
>>> one needs "find" on one's path and that conflicts with "find" on Windows
>>> so other applications unrelated to R that use scripts can suddenly break
>>> because of R.  If that could be solved at the same time it would be nice.
>> At a minimum we should be able to wrap the calls to find in a macro, so
>> you could change the macro in MkRules and rename your copy from Rtools
>> to remove the conflict.  I'll take a look.
>> Duncan Murdoch
>>> On 5/4/07, Duncan Murdoch <murdoch at stats.uwo.ca> wrote:
>>>> On 04/05/2007 4:25 PM, Greg Snow wrote:
>>>>> I have used the pp/par combination for Perl before.  It is pretty straight forward to convert an existing perl script into a stand alone windows executable.
>>>>> Both the Activestate licence and the Perl Artistic licence allow for embedding a script and perl interpreter together and distributing the result.
>>>>> The current perl script(s) used for the R package build package could easily be converted to a 'stand alone' windows executable and be distributed with Rtools for those who do not want to install Perl themselves.
>>>>> The only drawback is that even a "Hello World" script will result in over a meg sized executable (due to the perl interpreter being included).
>>>> I took a quick look at the PAR page on CPAN, and it seems possible to
>>>> build a DLL that incorporates the interpreter, and then each individual
>>>> script .exe could be much smaller.  I'll see if I can get that to work;
>>>> it would be really nice to be able to drop the Perl requirement.  If we
>>>> could do that, I'd include the command line tools plus the compiled
>>>> scripts with the basic R distribution, so you could easily build simple
>>>> packages.  The Rtools.exe installer would then just need to install the
>>>> MinGW compilers for packages containing compiled code, and a few extras
>>>> needed for building R.
>>>> I don't really know Perl, so I might be asking for advice if I get stuck.
>>>> Duncan Murdoch
>>>>> ________________________________
>>>>> From: r-help-bounces at stat.math.ethz.ch on behalf of Gabor Grothendieck
>>>>> Sent: Fri 5/4/2007 11:55 AM
>>>>> To: Doran, Harold
>>>>> Cc: r-help at stat.math.ethz.ch; Duncan Murdoch
>>>>> Subject: Re: [R] [SPAM] - Re: R package development in windows - BayesianFilter detected spam
>>>>> Just googling I found this:
>>>>> http://www.perlmonks.org/?node_id=186402
>>>>> On 5/4/07, Doran, Harold <HDoran at air.org> wrote:
>>>>>>> The best, of course, would be to get rid of Perl altogether.
>>>>>> In Python, it is possible to make standalone executables. Is it possible
>>>>>> to also do this in Perl, then one could eliminate a perl install. Or, is
>>>>>> it possible to use Python to accomplish what perl is currently doing? I
>>>>>> may be getting in over my head here since I really don't know what perl
>>>>>> is doing under the hood.
>>>>>> Harold
>>>>> ______________________________________________
>>>>> R-help at stat.math.ethz.ch mailing list
>>>>> 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.

More information about the R-help mailing list