[Rd] Makefiles and other customization
Kasper Daniel Hansen
khansen at stat.Berkeley.EDU
Thu Nov 24 00:47:00 CET 2005
Well you can have a look at etc/Makeconf. I have had some troubles
understanding the make process myself (which probably reveals I am
not a make guru), but it really depends on what you want to
accomplish - and from a certain perspective it is all documented in
the sources.
I think you need to describe what exactly you want to do, perhaps
even post a copy of your Makefie.
In case you include code which needs to be compiled and distributed
to various platforms you definitely want R to do the compilation.
Kasper
On Nov 23, 2005, at 3:26 PM, Ross Boylan wrote:
> Writing R Extensions mentions that a package developer can provide a
> Makefile, but gives very little information about what should be in
> it.
> It says there must be a clean target, and later on there's mention of
> $(SHLIB): $(OBJECTS)
> $(SHLIB_LINK) -o $@ $(OBJECTS) $(ALL_LIBS)
> (in the F95 discussion).
>
> What should a Makefile provide, and what can it assume? In other
> words,
> what variables and environment setup should have been done? My
> guess is
> that all the R boilerplate for Makefiles will have been read before
> the
> Makefile I provide. It appears from the F95 example that the Makefile
> has to get the names of the files it needs itself.
>
> I suspect this is not documented more fully because of the extreme
> difficulty of writing a portable Makefile. However, I already have a
> "Makefile.full", so called to avoid having R use it. Makefile.full
> does
> lots of stuff, so portability is already compromised. I'm thinking it
> might be more direct to provide "Makefile," since I'm now trying to
> alter what R CMD build does.
>
> I posted a related question on r-help, before I realized this kind of
> issue is more appropriate for this list. The question I asked
> there was
> whether it would be reasonable to do my own tar of the files I
> wanted to
> distribute in place of using R CMD build. I'm also interested in
> knowing about that.
> https://stat.ethz.ch/pipermail/r-help/2005-November/081758.html
> (though
> the thread has so far been on a tangential issue).
>
> Here is that first post, if you want more background:
> ---------------------------------------------------------------
> I've made a package for which R CMD build isn't producing very
> satisfactory results. I'll get to the details in a moment.
>
> I wonder if it would make sense to have my own makefiles (which
> already
> exist and are doing quite a lot) produce the .tar.gz file ordinarily
> produced by R CMD build. As far as I can tell, R CMD build basically
> tars up of the project directory after running some checks. I
> could run
> R CMD check separately.
>
> There are two main problems with the results of R CMD build.
> First, it
> has lots of files that I don't want included (the input files used to
> generate configure, miscellaneous garbage, other stuff not suitable
> for
> distribution). Second, I have data files as both "data.gz" and
> "data".
> R puts "data" into the .tar.gz file and sensibly ignores the .gz file.
> Unfortunately, my makefiles assume the existence of the "data.gz"
> files,
> and so may have trouble after the .tar.gz is unpacked and there are no
> "data.gz" files.
>
> My bias would ordinarily be to piggy back on the R build system as
> much
> as possible. In principle, this could get me extra features (binary
> builds, MS Windows builds) and it would track the things R build does
> beyond tarring files. But in this case using the R build system seems
> quite ugly. I could in principle use .Rbuildignore, probably
> generated
> dynamically, to exclude files. That doesn't solve the 2nd problem
> (data.gz becomes data).
>
> So does the alternative of doing the tar'ing myself make sense?
>
> Is there another option that could hook into the R CMD build process
> more deeply than the use of .Rbuildignore?
>
> I suppose another option would be to do a clean checkout of the
> sources
> for my package, run a special makefile target that would create the
> necessary files and delete all unwanted files, and then do a regular R
> CMD build. This might still have trouble with "data.gz".
> --------------------------------------------------------------
>
> --
> Ross Boylan wk: (415) 514-8146
> 185 Berry St #5700 ross at biostat.ucsf.edu
> Dept of Epidemiology and Biostatistics fax: (415) 514-8150
> University of California, San Francisco
> San Francisco, CA 94107-1739 hm: (415) 550-1062
>
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