Dear Prof. Ripley, Thanks for your reply. I think I understand now.
Best, R. On Fri, Feb 29, 2008 at 7:36 PM, Prof Brian Ripley <[EMAIL PROTECTED]> wrote: > On Fri, 29 Feb 2008, Ramon Diaz-Uriarte wrote: > > > Dear All, > > > > > I think I am confused about how I'd be able to use zlib starting with > > R 2.7.0. I just downloaded the latest development version, built it, > > etc, but I am not able to find the zlib.h that, I believe, R should > > place somewhere under "where/you/want/R/to/go" (from > > --prefix=/where/you/want/R/to/go). There seem to be entry points for > > zlib in the binary (e.g., grep -r gzopen ./ > > Binary file ./lib64/R/bin/exec/R matches; etc). What is the > > appropriate way (if any) to tell my package where to look for the > > R-provided zlib.h? > > It is only provided on Windows -- that's the only change. On other > platforms you use configure to find the system copy in the usual way. > The point is that almost all platforms apart from Windows will have a > systen copy. What you need to do on Windows is in the CHANGES file. > > [You may find entry points in exec/R, but those using shlib R will not.] > > > > In addition, when searching the archives I found the message > > > > http://finzi.psych.upenn.edu/R/R-devel/archive/27154.html > > > > which seems to suggest that I'd be better off including my own copies > > of zlib.h, although I understand that the message is not referring > > explicitly to the new R 2.7.0. > > Nor implicitly. > > > > > > > Thanks, > > > > R. > > > > > > > > > > > > > > > > On Thu, Feb 28, 2008 at 8:53 PM, Prof Brian Ripley > > <[EMAIL PROTECTED]> wrote: > >> One solution is likely to be the Omegahat package Rcompression. > >> > >> Otherwise, R does have internal facilities to do internal (gzip) > >> compression and decompression (e.g. see the end of > >> src/main/connections.c), and you could make creative use of serialization > >> to do the compression. > >> > >> > >> On Thu, 28 Feb 2008, Ramon Diaz-Uriarte wrote: > >> > >> > Dear All, > >> > > >> > I'd like to be able to have R store (in a list component) a compressed > >> > data set, and then write it out uncompressed. gzcon and gzfile work in > >> > exactly the opposite direction. What would be a good way to handle > >> > this? > >> > > >> > Details: > >> > ---------- > >> > > >> > We have a package that uses C; part of the C output is a large sparse > >> > matrix. This is never manipulated directly by R, but always by the C > >> > code. However, we need to store that data somewhere (inside an R > >> > object) for further calls to the functions in our package. We'd like > >> > to store that matrix as part of the R object (say, as an element of a > >> > list). Ideally, it would be stored in as compressed a way as possible. > >> > Then, when we need to use that information, it would be decompressed > >> > and passed to the C function. > >> > > >> > I guess one way to do it is to have C deal with the compression and > >> > uncompression (e.g., using zlib or the bzip2 libraries) and then use > >> > readBin, etc, from R. But, if I can, I'd like to avoid our C code > >> > having to call zlib, etc, so as to make our package easily portable. > >> > >> As from R 2.7.0 you will be able to make use of zlib on effectively all > >> platforms, since it has a public interface on Windows. > >> > >> > >> > >> > > >> > Thanks, > >> > > >> > R. > >> > > >> > -- > >> > Ramon Diaz-Uriarte > >> > Statistical Computing Team > >> > Structural Biology and Biocomputing Programme > >> > Spanish National Cancer Centre (CNIO) > >> > http://ligarto.org/rdiaz > >> > >> -- > >> Brian D. Ripley, [EMAIL PROTECTED] > >> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ > >> University of Oxford, Tel: +44 1865 272861 (self) > >> 1 South Parks Road, +44 1865 272866 (PA) > >> Oxford OX1 3TG, UK Fax: +44 1865 272595 > >> > > > > > > > > -- > > Ramon Diaz-Uriarte > > Statistical Computing Team > > Structural Biology and Biocomputing Programme > > Spanish National Cancer Centre (CNIO) > > http://ligarto.org/rdiaz > > > > -- > > > Brian D. Ripley, [EMAIL PROTECTED] > Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ > University of Oxford, Tel: +44 1865 272861 (self) > 1 South Parks Road, +44 1865 272866 (PA) > Oxford OX1 3TG, UK Fax: +44 1865 272595 > -- Ramon Diaz-Uriarte Statistical Computing Team Structural Biology and Biocomputing Programme Spanish National Cancer Centre (CNIO) http://ligarto.org/rdiaz ______________________________________________ R-help@r-project.org 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.
