This is a guide to installation and administration for R.
The current version of this document is 1.6.0 (2002-10-01). ISBN 3-901167-52-8
Sources, binaries and documentation for R can be obtained via
CRAN, the "Comprehensive R Archive Network". See the file
RESOURCES in the R distribution for information on
CRAN.
The simplest way is to download the most recent
R-x.y.z.tgz file, and unpack it with
tar xvfz R-x.y.z.tgz
on systems that have GNU tar installed. On other systems you
need at least to have the gzip program installed. Then you
can use
gzip -dc R-x.y.z.tgz | tar xvf -
If you need to transport the sources on floppy disks, you can download
the R-x.y.z.tgz-split.* files and paste them
together at the destination with (Unix)
cat R-x.y.z-split.* > R-x.y.z.tgz
and proceed as above. If you want the build to be usable by a group of
users, set umask before unpacking so that the files will be
readable by the target group (e.g., umask 022 to be usable by all
users).
Finally, for patch releases (x.y.z with z
!= 0), a patch against the preceding release is made available in
R-x.y.{z-1}-x.y.z.diff.gz
(e.g., R-1.2.2-1.2.3.diff.gz), which is generally a much smaller
file that the .tgz files. Such a file can be applied to the
sources of the previous version by changing to the top directory of it
and
gzip -dc /path/to/it/R-x.y.{z-1}-x.y.z.diff.gz | patch -E -p1
Beware that this does not necessarily work if the older sources have been modified (e.g., by building in their directories).
Sources are also available via anonymous rsync. Use
rsync -rC rsync.r-project.org::module R
to create a copy of the source tree specified by module in the
subdirectory R of the current directory, where module
specifies one of the four existing flavors of the R sources, and can be
one of r-release (current released version), r-patched
(patched released version), and r-devel (development version).
The rsync trees are created directly from the master CVS archive and are
updated hourly. The -C option in the rsync command
is to cause it to skip the CVS directories. Further information on
rsync is available at http://rsync.samba.org/rsync/.
R will configure and build under a number of common Unix platforms including i386-freebsd, cpu-linux-gnu for the i386, alpha, arm, hppa, ia64, m68k, powerpc, and sparc CPUs (see e.g. http://buildd.debian.org/build.php?&pkg=r-base), i386-sun-solaris, powerpc-apple-darwin, mips-sgi-irix, alpha-dec-osf4, rs6000-ibm-aix, hppa-hp-hpux, and sparc-sun-solaris.
In addition, binary distributions are available for most common Linux distributions, Compaq Alpha systems running OSF/Tru64, and for MacOS X (Darwin) with X11. See the FAQ for current details. These are installed in platform-specific ways. So for the rest of this chapter we consider only building from the sources.
First review the essential and useful tools and libraries in Essential and useful other programs, and install those you want or need.
Choose a place to install the R tree (R is not just a binary, but
has additional data sets, help files, font metrics etc). Let us call
this place R_HOME. Untar the source code. This should create
directories src, doc, and several more. Issue the
following commands:
./configure make
(See Using make if your make is not called make.)
Then check the built system works correctly, by
make check
Failures are not necessarily problems as they might be caused by missing
functionality, but you should look carefully at any reported
discrepancies. To re-run the tests you would need
make check FORCE=FORCE
If these commands execute successfully, the R binary will be copied
to the R_HOME/bin directory. In addition, a shell-script
front-end called R will be created and copied to the same
directory. You can copy this script to a place where users can invoke
it, for example to /usr/local/bin/R. You could also copy the man
page R.1 to a place where your man reader finds it,
such as /usr/local/man/man1. If you want to install the complete
R tree to, e.g., /usr/local/lib/R, see Installation.
Note: you do not need to install R: you can run it from where
it was built.
You do not necessarily have to build R in the top-level source
directory (say, TOP_SRCDIR). To build in
BUILDDIR, run
cd BUILDDIR TOP_SRCDIR/configure make
and so on, as described further below. This has the advantage of always
keeping your source tree "clean". (You may need GNU make to
allow this.)
Make will also build plain text help pages as well as HTML and
LaTeX versions of the R object documentation (the three kinds can
also be generated separately using make help, make html
and make latex). Note that you need Perl version 5: if this is
not available on your system, you can obtain PDF versions of the
documentation files via CRAN.
Now rehash if necessary, type R, and read the R manuals
and the R FAQ (files FAQ or
doc/html/faq.html, or
http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html which always has
the latest version).
There is a set of manuals that can be built from the sources,
refman
R-FAQ
R-intro
R-data
R-admin
R-exts
R-lang
To make these, use
make dvi to create DVI versions
make pdf to create PDF versions
make info to create info files (not refman).
You will not be able to build the info files unless you have
makeinfo version 4 or later installed (and some Linux
distributions have 3.12).
The DVI versions can be previewed and printed using standard programs
such as xdvi and dvips. The PDF versions can be
viewed using Acrobat Reader or (recent versions of) ghostscript: they
have hyperlinks that can be followed in Acrobat Reader. The info files
are suitable for reading online with Emacs or the standalone GNU Info.
After
./configure make make check
have been completed successfully, you can install the complete R tree
to your system by typing
make install
This will install to the following directories:
prefix/bin
prefix/man/man1
prefix/lib/R
where prefix is determined during configuration (typically
/usr/local) and can be set by running configure with
the option --prefix, as in
./configure --prefix=/where/you/want/R/to/go
This causes make install to install the R executable to
/where/you/want/R/to/go/bin, and so on. The prefix of the
installation directories can be seen in the status message that is
displayed at the end of configure. You can install into
another directory by using
make prefix=/path/to/here install
To install DVI, info and PDF versions of the manuals, use one or more of
make install-dvi make install-info make install-pdf
To ensure that the installed tree is usable by the right group of users,
set umask appropriately (perhaps to 022) before unpacking
the sources and throughout the build process.
The bin/windows directory of a CRAN site contains
binaries for a base distribution and a large number of add-on packages
from CRAN to run on Windows 95, 98, NT4, 2000, ME and XP (at
least) on Intel and clones (but not on other platforms).
You do need one of those Windows versions: Windows 3.11+win32s will not work.
Your file system must allow long file names (as is likely except perhaps for some network-mounted systems).
The simplest way is to use rw1060.exe or miniR.exe. Just
double-click on the icon and follow the instructions. If you installed
R this way you can uninstall it from the Control Panel or Start Menu
(unless you suppressed making a group for R).
See the R Windows FAQ for more details.
If you want to build this port from the sources, see the file
src/gnuwin32/INSTALL in the source distribution. You will need
to collect, install and test an extensive set of tools: see
http://www.stats.ox.ac.uk/pub/Rtools/ for the current locations.
You may need to compile under a case-honouring file system: we found
that a samba-mounted file system (which maps all file names to
lower case) did not work. Open a commands window at a directory whose
path does not contain spaces, and run something like
tar zxvf R-1.6.0.tgz cd R-1.6.0\src\gnuwin32 make
sit back and wait (for about 5 minutes on 1GHz PIII with a fast local disc).
For further details, including how to make the documentation and how to
cross-compile, see src/gnuwin32/INSTALL.
The bin/macos directory of a CRAN site contains
bin-hexed (hqx) and stuffit (sit)
archives for a base distribution and a large number of add-on packages
to run under MacOS 8.6 to MacOS 9.1 or MacOS X natively. Just extract
one of these archives in a suitable folder using standard utilities like
Aladdin Stuffit Expander (tm).
There is also a port to MacOS X which is considered to be a Unix variant
in this document. You can find it in the bin/macosx directory at
of a CRAN site.
This chapter applies to Unix-like and Windows versions of R, but not to the Classic MacOS port.
It is helpful to use the correct terminology. A package is
loaded from a library by the function library(). Thus a
library is a directory containing installed packages; the main library
is R_HOME/library, but others can be used, for example by
setting the environment variable R_LIBS or using the R function
.libPaths().
Installing source packages requires that Perl 5.005 or later be installed.
Note that you need to specify implicitly or explicitly the library to which the package is to be installed. This is only an issue if you have more than one library, of course.
To install packages from source on Unix use
R CMD INSTALL -l /path/to/library pkg1 pkg2 ...
The part -l /path/to/library can be omitted, in which case the
first library in R_LIBS is used if set, otherwise the main
library R_HOME/library is used. (R_LIBS is looked
for in the environment: .Renviron is not read by R CMD.)
The Windows equivalent is1
Rcmd INSTALL -l /path/to/library pkg1 pkg2 ...
Alternatively, packages can be downloaded and installed from within
R. First set the option CRAN to your nearest CRAN
mirror, for example
> options(CRAN = "http://cran.us.r-project.org/")
Then download and install package foo by
> install.packages("foo")
Unless the library is specified (argument lib) the first library
in the library search path is used.
What this does is different on Unix and Windows. On Unix it consults
the list of available source packages on CRAN, downloads the
latest version of the foo sources, and installs it (via R
CMD INSTALL). On Windows it looks at the list of binary
versions of packages and downloads the latest version (if any).
On Windows install.packages can also install a binary package
from a local zip file by setting argument CRAN to
NULL. RGui.exe has a menu Packages with a GUI
interface to install.packages, update.packages and
library.
The command update.packages() is the simplest way to ensure that
all the packages on your system are up to date. Set the CRAN
option as in the previous section. The update.packages()
downloads the list of available packages and their current versions,
compares it with those installed and offers to fetch and install any
that have later versions on CRAN.
An alternative way of keeping packages up-to-date is provided by the
command packageStatus(), which returns an object with information
on all installed packages and packages available at multiple
repositories (CRAN, local archive, ...). The print and
summary methods give an overview of installed and available
packages, the upgrade method offers to fetch and install outdated
packages. This allows R to fetch packages from several repositories and
keep in sync with all of them, instead of only one CRAN mirror, and is
intended to become the default package manager for future versions of R.
Packages can be removed in a number of ways. From a command prompt they
can be removed by
R CMD REMOVE -l /path/to/library pkg1 pkg2 ...
(Unix) or
Rcmd REMOVE -l /path/to/library pkg1 pkg2 ...
(Windows).
From a running R process they can be removed by
> remove.packages(c("pkg1", "pkg2"),
lib = file.path("path", "to", "library"))
Finally, in most installations one can just remove the package directory from the library.
Note: whereas it is currently possible to install package bundles, one cannot remove these as such--the packages contained in the bundle have to removed individually.
This appendix gives details of programs you will need to build R on
Unix-like platforms, or which will be used by R if found by
configure.
You need a means of compiling C and FORTRAN 77 (see Using FORTRAN). Some add-on packages also need a C++ compiler.
You will need Perl version 5.004 or later, available via http://www.perl.com/CPAN/, to build any of the on-line documentation, and version 5.005 is needed for some of the utilities,
You will not be able to build the info files unless you have
makeinfo version 4 or later installed (and some Linux
distributions have 3.12).
The typeset documentation needs tex and latex, or
pdftex and pdflatex.
The command-line editing depends on the readline library
available from any GNU mirror: you will need a fairly recent version.
Use of gzfile connections needs zlib (version 1.1.3 or
later): if an installed version is not found, that in the R sources
will be compiled in.
The bitmapped graphics devices jpeg() and png() need the
appropriate libraries installed: jpeg (version 6b or later) or
libpng (versions 1.0.5 to 1.2.1 or 1.2.3 or later) and
zlib (version 1.1.3 or later) respectively. libpng-1.2.2
moved its header files, and you will need add something like
-I/usr/local/include/libpng12 to CPPFLAGS to make use of
it.
The bitmap and dev2bitmap devices make use of ghostscript
(http://www.cs.wisc.edu/~ghost).
bzfile connections make use of libbz2, part of
bzip2 (http://sources.redhat.com/bzip2).
grep and related functions will make use of PCRE if installed.
The sources are at
ftp://ftp.csx.cam.ac.uk/pub/software/programming/pcre/; the
Debian package is libpcre3-dev and the RPM something like
pcre-devel-3.4-2.
The tcltk package needs Tcl/Tk installed: the sources are available at http://dev.scriptics.com/. To specify the locations of the Tcl/Tk files you may need the configuration options
--with-tcltk
--with-tcl-config=TCL_CONFIG
tclConfig.sh
--with-tk-config=TK_CONFIG
tkConfig.sh
or use the configure variables TCLTK_LIBS and
TCLTK_CPPFLAGS to specify the flags needed for linking against
the Tcl and Tk libraries and for finding the tcl.h and
tk.h headers, respectively.
The linear algebra routines in R can make use of enhanced BLAS (Basic
Linear Algebra Subprograms, http://www.netlib.org/blas/faq.html)
routines. Some are compiler-system-specific (libsunperf on Sun
Sparc2, libessl on IBM) but ATLAS
(http://math-atlas.sourceforge.net/) is a "tuned" BLAS that runs on a
wide range of Unix-alike platforms. If no more specific library is
found, a libblas library in the library path will be used. You
can specify a specific BLAS library by the configuration option
--with-blas and not to use an external BLAS library by
--without-blas.
For systems with multiple processors it is in principle possible to use
a multi-threaded version of ATLAS. This is currently not supported.
The problem is that SIGINT signals will not be handled properly
when sent during a multi-threaded ATLAS computation, and this may result
in a segmentation fault. Changes in the R internals are needed to
support the use of threaded libraries; this will hopefully be addressed
in a future release.
Note that the BLAS library will be used for several add-on packages as well as for R itself. This means that it is better to use a shared BLAS library, as most of a static library will be compiled into the R executable and each BLAS-using package.
You will need double-precision and double-complex versions of the BLAS, but not single-precision nor complex routines.
Optimized versions of LAPACK are available, but no provision is made for using them with R as the likely performance gains are thought to be small.
As with all libraries, you need to ensure that they and R were
compiled with compatible compilers and flags. For example, this means
that on Sun Sparc using the native compilers the flag -dalign
is needed so libsunperf can be used.
An ATLAS `tuned' BLAS can also be used on Windows: see
src/gnuwin32/INSTALL for how to enable this when building from
source, and R Windows FAQ for adding pre-compiled support to binary versions.
Note that under Unix (but not under Windows) if R is compiled against a non-default BLAS, then all BLAS-using packages must also be. So if R is re-built after ATLAS is installed, then packages such as quantreg will need to be re-installed.
configure has many options: running
./configure --help
will give a list. Probably the most important ones not covered elsewhere are (defaults in brackets)
--with-x
--x-includes=DIR
--x-libraries=DIR
--with-readline
--enable-R-profiling
Rprof() [yes]
--enable-R-shlib
You can use --without-foo or --disable-foo for the
negatives.
You will want to use --disable-R-profiling if you are building
a profiled executable of R (e.g. with -pg).
Flag --enable-R-shlib causes the make process to build R as a
shared library, typically called libR.so, and to take
considerably longer, so you probably only want this if you will be using
an application which embeds R.
If you need or want to set certain configure variables to something
other than their default, you can do that by either editing the file
config.site (which documents all the variables you might want to
set) or on the command line as
./configure VAR=value
These variables are precious, implying that they do not have to be exported to the environment, are kept in the cache even if not specified on the command line and checked for consistency between two configure runs (provided that caching is used), and are kept during automatic reconfiguration as if having been passed as command line arguments, even if no cache is used.
See the variable output section of configure --help for a list of
all these variables.
One common variable to change is R_PAPERSIZE, which defaults to
a4, not letter. (Valid values are a4,
letter, legal and executive.)
If you have libraries and header files, e.g., for GNU readline, in
non-system directories, use the variables LDFLAGS (for libraries,
using -L flags to be passed to the linker) and CPPFLAGS
(for header files, using -I flags to be passed to the C/C++
preprocessors), respectively, to specify these locations. These default
to /usr/local/lib and /usr/local/include to catch the most
common cases. If libraries are still not found, then maybe your
compiler/linker does not support re-ordering of -L and
-l flags (this has been reported to be a problem on HP-UX with
the native cc). In this case, use a different compiler (or a
front end shell script which does the re-ordering).
If you find you need to alter configure variables, it is worth noting
that some settings may be cached in the file config.cache, and it
is a good idea to remove that file (if it exists) before re-configuring.
Note that caching is turned off by default; use the command line
option --config-cache (or -C) to enable caching.
To compile R, you will most likely find it easiest to use GNU
make. On Solaris 2.6/7/8 in particular, you need a version of
GNU make different from 3.77; 3.79 works fine, as does the Sun
make. The native make is reported to fail on SGI
Irix 6.5 and Alpha/OSF1 (aka Tru64).
To build in a separate directory you need a make that uses the
VPATH variable, for example GNU make, or Sun
make on Solaris 2.7/8 (but not earlier).
If you want to use a make by another name, for example if your
GNU make is called gmake, you need to set the variable
MAKE at configure time, for example
./configure MAKE=gmake
To compile R, you need a FORTRAN compiler or f2c, the
FORTRAN-to-C converter (http://www.netlib.org/f2c). The default
is to search for g77, f77, xlf,
cf77, cft77, pgf77, fl32,
af77, fort77, f90, xlf90,
pgf90, epcf90, f95, xlf95,
lf95, g95, and fc (in that
order)3, and
then for f2c, and use whichever is found first; if none is
found, R cannot be compiled. The search mechanism can be changed
using the configure variables F77 and F2C which specify
the commands that run the FORTRAN 77 compiler and FORTRAN-to-C
converter, respectively. If F77 is given, it is used to compile
FORTRAN; otherwise, if F2C is given, f2c is used even if a
FORTRAN compiler would be be available. If your FORTRAN compiler is in
a non-standard location, you should set the environment variable
PATH accordingly before running configure, or use the
configure variable F77 to specify its full path.
If your FORTRAN libraries are in slightly peculiar places, you should
also look at LD_LIBRARY_PATH or your system's equivalent to make
sure that all libraries are on this path.
You must set whatever compilation flags (if any) are needed to ensure
that FORTRAN integer is equivalent to a C int pointer and
FORTRAN double precision is equivalent to a C double
pointer. This is checked during the configuration process.
Some of the FORTRAN code makes use of COMPLEX*16 variables, which
is a FORTRAN 90 extension. This is checked for at configure
time4, but you may need to avoid
compiler flags5 asserting
FORTRAN 77 compliance.
For performance reasons6 you may want to choose a FORTRAN 90/95 compiler.
If you use f2c you may need to ensure that the FORTRAN type
integer is translated to the C type int. Normally
f2c.h contains typedef long int integer;, which will work
on a 32-bit platform but not on a 64-bit platform.
A wide range of flags can be set in the file config.site or as
configure variables on the command line. We have already mentioned
CPPFLAGS
-I) and any other miscellaneous
options for the C and C++ preprocessors and compilers
LDFLAGS
-L), stripping (-s) and any other miscellaneous
options for the linker
and others include
CFLAGS
MAIN_CFLAGS
SHLIB_CFLAGS
FFLAGS
MAIN_FFLAGS
SHLIB_FFLAGS
MAIN_LDFLAGS
SHLIB_LDFLAGS
Library paths specified as -L/lib/path in LDFLAGS are
collected together and prepended to LD_LIBRARY_PATH (or your
system's equivalent), so there should be no need for -R or
-rpath flags.
To compile a profiling version of R, one might for example want to
use MAIN_CFLAGS=-pg, MAIN_FFLAGS=-pg,
MAIN_LDFLAGS=-pg on platforms where -pg cannot be used
with position-independent code.
Beware: it may be necessary to set CFLAGS and
FFLAGS in ways compatible with the libraries to be used: one
possible issue is the alignment of doubles, another is the way
structures are passed.
This interface is experimental and incomplete. It provides a console
and two graphics devices named gtk() and gnome(). The
console offers a basic command line editing and history mechanism, along
with tool and button bars that give a point-and-click interface to some
R commands. Many of the features of the console are currently
stubs. The gtk() graphics device is a port of the x11()
device to GDK (the GIMP Drawing Kit). The gnome()
device uses the GNOME canvas.
Due to its experimental nature, the GNOME interface for R
will not be built automatically. You must specify it by running
configure with the --with-gnome option. For example, you might
run
./configure --with-gnome
but please check you have all the requirements first. The
GNOME interface for R is currently being developed under
GNOME 1.4, and is not guaranteed to work with previous
versions. You therefore need at least the following libraries installed
audiofile-0.2.1 esound-0.2.23 glib-1.2.10 gtk+-1.2.10 imlib-1.9.10 ORBit-0.5.12 gnome-libs-1.4.1.2 libxml-1.8.16 libglade-0.17
It is preferable to have a complete installation of the GNOME desktop environment. If you use Linux, then this should be provided with your distribution. In addition, packaged binary distributions of GNOME are available from http://www.ximian.com for the most popular Linux distributions and for Solaris.
Remember that some package management systems (such as RPM and
deb) make a distinction between the user version of a package and the
developer version. The latter usually has the same name but with the
extension -devel. If you use a pre-packaged version of
GNOME then you must have the developer versions of the above
packages in order to compile the R-GNOME interface.
The full list of GNOME options to configure is
--with-gnome
--with-gnome-includes=DIR
--with-gnome-libs=DIR
--with-libglade-config=LIBGLADE_CONFIG
libglade-config
This section provides some notes on building R on different Unix-like platforms. These notes are based on tests run on one or two systems in each case with particular sets of compilers and support libraries. Success in building R depends on the proper installation and functioning of support software; your results may differ if you have other versions of compilers and support libraries.
You can build R as a Unix application on MacOS X. You will need the
DevTools, f2c or g77, and the dlcompat
library. You will also need to install an X sub-system or configure
with --without-x.
f2c, g77, the dlcompat library, and X server
and support libraries are available from the Fink project
(http://fink.sourceforge.net). At the time of writing
f2c and g77 were not available as part of the Fink
binary distribution and needed to be installed directly; for example for
g77 use
fink install g77
R has been built successfully on Solaris 2.7 aka Solaris 7 aka SunOS
5.7 using gcc/g77 and the SunPro WorkShop 6
compilers, and less regularly on Solaris 2.5.1, 2.6 and 8. GNU
make is needed prior to 2.7 for building other than in the
source tree, and perhaps even then.
If using gcc, do ensure that the compiler was compiled for the
version of Solaris in use. (This can be discerned from gcc
-v.) gcc makes modified versions of some header files, and
so (for example) gcc compiled under Solaris 2.6 will not
compile R under Solaris 2.7. Also, do ensure that it was compiled
for the assembler/loader in use. If you download gcc from
http://www.sunfreeware.com then you need to download
binutils too. To avoid all these pitfalls we strongly
recommended you compile gcc from the sources yourself.
When using the SunPro compilers do not specify -fast, as
this disables IEEE arithmetic and make check will
fail. The maximal set of optimization options known to work is
-xlibmil -xO5 -dalign
We have found little performance difference between gcc and
cc but considerable benefit from using a SunPro Fortran
compiler: the gcc/f77 combination works well.
To compile for a 64-bit target on Solaris (which needs an UltraSparc
chip and for support to be enabled in the OS) with the SunPro WorkShop 6
compilers we used
CC="cc -xarch=v9" CFLAGS="-xO5 -xlibmil -dalign" F77="f95 -xarch=v9" FFLAGS="-xO5 -xlibmil -dalign" CXX=CC CXXFLAGS="-xO5 -xlibmil -dalign -xarch=v9"
in config.site. Note that using f95 allows the Sun
performance library to be selected: it will not work with f77,
nor with g77.
For 64-bit compilation with gcc 3.2 we used
CC="gcc -m64" FFLAGS="-m64 -g -O2" CXXFLAGS="-m64 -g -O2" LDFLAGS="-L/usr/local/lib/sparcv9 -L/usr/local/lib"
Some care is needed to ensure that libraries found by
configure are compatible with the R executable and modules, as
the testing process will not detect many of the possible problems. For
32-bit builds under cc the flag -dalign is needed for
some of the Sun libraries: fortunately the equivalent flag for
gcc, -munaligned-doubles, is the default. In theory,
libraries such as libpng, libjpeg, zlib and the
ATLAS libraries need to be built with a pic or PIC flag,
which could be a problem if static libraries are used. In practice this
seems to give little problem for 32-bit builds, but seems essential for
64-bit builds.
For a 64-bit build, 64-bit libraries must be used. As the configuration
process by default sets LDFLAGS to -L/usr/local/lib,
you may need to set it to avoid finding 32-bit addons (as in the
gcc -m64 example above).
R has been built successfully on HPUX 10.2 and HPUX 11.0 using both
native compilers and gcc. However, 10.2 has not been tested
since R 1.4.0. By default, R is configured to use gcc and
g77 on HPUX (if available). Some installations of
g77 only install a static version of the g2c library
that cannot be linked into a shared library since its files have not
been compiled with the appropriate flag for producing position
independent code (PIC). This will result in make
failing with a linker error complaining that code needs to be compiled
with a +z or +Z flag, the native cc
PIC flag. If this is the case you either need to modify your
g77 installation or configure with
F77=fort77
to specify use of the native POSIX-compliant FORTRAN 77 compiler.
You may find that configure detects other libraries, such as
BLAS, that R needs to use as shared libraries but are only available as
static libraries. If you cannot install shared versions you will need
to tell configure not to use these libraries.
Some versions of gcc may contain what appears to be a bug at
the -O2 optimization level that causes
> 2 %/% 2 [1] 1 > 1:2 %/% 2 [1] 0 0 # wrong!!
which will cause make check to fail. If this is the case, you
should use CFLAGS to specify -O as the optimization
level to use.
Some systems running HPUX 11.0 may have a gcc that was
installed under HPUX 10.2. Between versions 10.2 and 11.0 HPUX changed
its support functions for IEEE arithmetic from the recommended
functions of the IEEE standard to the ones specified in the
C9x draft standard. In particular, this means that finite has
been replaced by isfinite. A gcc configured for HPUX
10.2 run on 11.0 will not find isfinite, and as a result
configure does not recognize the machine as fully supporting
IEEE arithmetic and does not define IEEE_754 when
compiling C code. This results in a failure in make check.
The best solution is to install a properly configured gcc. An
alternative work-around is to add -DIEEE_754 to the
CFLAGS variable.
You can configure R to use both the native cc and
fort77 with
./configure CC=cc F77=fort77
f90 insists on linking against a static libF90.a which
typically resides in a non-standard directory (e.g.,
/opt/fortran90/lib). Hence, to use f90 one needs to
add this directory to the linker path via the configure variable
LDFLAGS (e.g., ./configure F77=f90
LDFLAGS=/opt/fortran90/lib).
R has been built successfully on IRIX64 6.5 using
gcc/f77 or cc/f77 for 32-bit
executables and the native compilers for a 64-bit executable. The
command
./configure CC="cc -64" F77="f77 -64" --with-tcltk=no
was used to create the 64-bit executable. It was necessary to
explicitly omit Tcl/Tk because configure would find the 32-bit
version but not detect that is was incompatible with a 64-bit build.
A 32-bit build using gcc/g77 passed make
check but failed make test-all-extras in the complex LAPACK
tests.
R has been built successfully on an Alpha running OSF1 V4.0 using
gcc/g77 and cc/f77. Mixing
cc and g77 fails to configure. The
configure option --without-blas was used since the
native blas seems not to have been built with the flags needed to
suppress SIGFPE's. Currently R does not set a signal handler for
SIGFPE on platforms that support IEEE arithmetic, so
these are fatal.
make check passes with no problems.
Attempts to build R on an Alpha with FreeBSD 4.3 have been only
partly successful. Configuring with -mieee added to both
CFLAGS and FFLAGS builds successfully, but tests fail with
SIGFPE's. It would appear that -mieee only defers these
rather than suppressing them entirely. Advice on how to complete this
port would be greatly appreciated.
On AIX 4.3.3 and AIX 5.1, it was found that the use of "run time
linking" (as opposed to normal AIX style linking) was required. For
this, the R main program must be linked to the runtime linker with the
-brtl linker option, and shareable objects must be enabled for
runtime linking with the -G linker option. Without these
options, the AIX linker will not automatically link to any shared object
with a .so extension. Also, the R main program is unable to
dynamically load modules (such as X11) with the dlopen call.
When setting MAIN_LDFLAGS and SHLIB_LDFLAGS accordingly,
note that linker flags must be escaped using -Wl, if
gcc is used for linking: use MAIN_LDFLAGS="-Wl,brtl"
and SHLIB_LDFLAGS="-Wl,-G" in this case.
There are a number of sources of problems when installing R on a new hardware/OS platform. These include
Floating Point Arithmetic: R supports the POSIX,
SVID and IEEE models for floating point arithmetic. The
POSIX and SVID models provide no problems. The IEEE
model however can be a pain. The problem is that there is no agreement
on how to set the signalling behaviour; Sun/Sparc, SGI/IRIX and ix86
Linux require no special action, FreeBSD requires a call to (the macro)
fpsetmask(0) and OSF1 requires that computation be done with a
-ieee_with_inexact flag etc. On a new platform you must find
out the magic recipe and add some code to make it work. This can often
be done via the file config.site which resides in the top level
directory.
Beware of using high levels of optimization, at least initially. On
many compilers these reduce the degree of compliance to the
IEEE model. For example, using -fast on the Solaris
SunPro compilers causes R's NaN to be set incorrectly.
Shared Libraries: There seems to be very little agreement
across platforms on what needs to be done to build shared libraries.
there are many different combinations of flags for the compilers and
loaders. GNU libtool cannot be used (yet), as it currently does not
fully support FORTRAN (and will most likely never support f2c:
one would need a shell wrapper for this). The technique we use is to
first interrogate the X window system about what it does (using
xmkmf), and then override this in situations where we know
better (for tools from the GNU Compiler Collection and/or platforms we
know about). This typically works, but you may have to manually
override the results. Scanning the manual entries for cc and
ld usually reveals the correct incantation. Once you know the
recipe you can modify the file config.site (following the
instructions therein) so that the build will use these options.
If you do manage to get R running on a new platform please let us know about it so we can modify the configuration procedures to include that platform.
If you are having trouble getting R to work on your platform please feel free to get in touch to ask questions. We have had a fair amount of practice at porting R to new platforms ....
configure: Using make, Configuration variables, Installation, Simple compilation
install.packages: Installing packages
make: Using make
R_HOME: Simple compilation
remove.packages: Removing packages
rsync: Using rsync
update.packages: Updating packages
if you have the source-code package files installed
Using the SunPro cc and f95
compilers
On HPUX fort77 is the POSIX
compliant FORTRAN compiler, and comes second in the search list.
as well as its equivalence to the Rcomplex
structure defined in R_ext/Complex.h.
In particular, avoid g77's
-pedantic, which gives confusing error messages.
e.g., to use an optimized BLAS on Sun/Sparc