# R Installation and Administration

This is a guide to installation and administration for R.

The current version of this document is 1.7.0 (2003-04-16). ISBN 3-901167-52-8

## 1 Obtaining R

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.

### 1.1 Getting and unpacking the sources

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).

### 1.2 Using rsync

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/.

## 2 Installing R under Unix

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, 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.

### 2.1 Simple compilation

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

More comprehensive testing can be done by

    make check-devel

or

    make check-all

see `tests/README`.

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).

### 2.2 Making the manuals

There is a set of manuals that can be built from the sources,

`refman`
  Printed versions of all the help pages.
`R-FAQ`
  R FAQ (which is already built for you).
`R-intro`
  "An Introduction to R".
`R-data`
  "R Data Import/Export".
`R-admin`
  "R Installation and Administration", this manual.
`R-exts`
  "Writing R Extensions".
`R-lang`
  "The R Language Definition".

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.

### 2.3 Installation

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`
  the front-end shell script
`prefix/man/man1`
  the man page
`prefix/lib/R`
  all the rest (libraries, on-line help system, ...)

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.

## 3 Installing R under Windows

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 `rw1070.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.

See the R Windows FAQ for more details.

### 3.1 Building from source

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-1.7.0.tgz
    cd R-1.7.0\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`.

## 4 Installing R on Classic MacOS

The `bin/macos` directory of a CRAN site contains `bin-hex`ed (`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.

## 5 Add-on packages

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()`.

### 5.1 Installing packages

Installing source packages requires that Perl 5.004 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`.

### 5.2 Updating packages

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.

### 5.3 Removing packages

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.

## Appendix A Essential and useful other programs

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`.

### A.1 Essential programs

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. (The `Rdindex` utility requires version 5.005 or later, but has been deprecated in favor of the function `Rdindex()` in package tools as of R version 1.7.0.)

You will not be able to build the info files unless you have `makeinfo` version 4 or later installed.

The typeset documentation needs `tex` and `latex`, or `pdftex` and `pdflatex`.

### A.2 Useful libraries and programs

The command-line editing depends on the `readline` library available from any GNU mirror: you will need a fairly recent version.

The bitmapped graphics devices `jpeg()` and `png()` need the appropriate headers and libraries installed: `jpeg` (version 6b or later) or `libpng` (version 1.2.3 or later) and `zlib` (version 1.1.3 or later) respectively.

The `bitmap` and `dev2bitmap` devices make use of ghostscript (http://www.cs.wisc.edu/~ghost).

If you have them installed (including the approrpiate headers), `zlib`, `libbz2` and PCRE will be used: otherwise versions in the R sources will be compiled in.

#### A.2.1 Tcl/Tk

The tcltk package needs Tcl/Tk installed: the sources are available at http://www.scriptics.com/. To specify the locations of the Tcl/Tk files you may need the configuration options

`--with-tcltk`
  use Tcl/Tk, or specify its library directory
`--with-tcl-config=TCL_CONFIG`
  specify location of `tclConfig.sh`
`--with-tk-config=TK_CONFIG`
  specify location of `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.

Versions of Tcl/TK from 8.0 to 8.4.1 have been used successfully.

#### A.2.2 Linear algebra

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, `vecLib` on MacOS X) 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. If despite this warning you still want to use a multi-threaded ATLAS you can do so by specifying

    --with-blas="-lptf77blas -lpthread -latlas"

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. In any case, the BLAS library must be usable with dynamically-loadable code.

You will need double-precision and double-complex versions of the BLAS, but not single-precision nor complex routines.

As from R 1.7.0, provision is made for using an external LAPACK library, principally to cope with BLAS libraries which contain a copy of LAPACK (such as `libsunperf` on Solaris and `vecLib` on MacOS 10.2.2). However, the likely performance gains are thought to be small (and may be negative), and the default is not to search for a suitable LAPACK library. You can specify a specific LAPACK library or a search for a generic library by the configuration option `--with-lapack`. The default for `--with-lapack` is to check the BLAS library and then look for an external library `-llapack`. Sites searching for the fastest possible linear algebra may want to build a LAPACK library using the ATLAS-optimized subset of LAPACK. To do so specify something like

    --with-lapack="-L/path/to/libs -llapack -lcblas"

since the ATLAS subset of LAPACK depends on `libcblas`.

If you do use `--with-lapack`, be aware of potential problems with bugs in the LAPACK 3.0 sources (or in the posted corrections to those sources). In particular, bugs in `DGEEV` and `DGESDD` have resulted in error messages such as

    DGEBRD gave error code -10

(from the Debian `-llapack` which was current in late 2002). Other potential problems are incomplete versions of the libraries: for example `libsunperf` from Sun Forte 6.x was missing the entry point for `DLANGE` and `vecLib` has omitted the BLAS routine `LSAME`.

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.

## Appendix B Configuration on Unix

### B.1 Configuration options

`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`
  use the X Window System
`--x-includes=DIR`
  X include files are in DIR
`--x-libraries=DIR`
  X library files are in DIR
`--with-readline`
  use readline library (if available) [yes]
`--enable-R-profiling`
  attempt to compile support for `Rprof()` [yes]
`--enable-R-shlib`
  build R as a shared library [no]

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.

### B.2 Configuration variables

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).

Another precious variable is `R_BROWSER`, the default browser, which should take a value of an executable in the user's path or specify a full path.

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.

### B.3 Using make

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; 3.79.1 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

### B.4 Using FORTRAN

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`, `frt`, `pgf77`, `fl32`, `af77`, `fort77`, `f90`, `xlf90`, `pgf90`, `epcf90`, `f95`, `fort`, `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.

### B.5 Compile and load flags

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`
  header file search directory (`-I`) and any other miscellaneous options for the C and C++ preprocessors and compilers
`LDFLAGS`
  path (`-L`), stripping (`-s`) and any other miscellaneous options for the linker

and others include

`CFLAGS`
  debugging and optimization flags, C
`MAIN_CFLAGS`
  ditto, for compiling the main program
`SHLIB_CFLAGS`
  for shared libraries
`FFLAGS`
  debugging and optimization flags, FORTRAN
`MAIN_FFLAGS`
  ditto, for compiling the main program
`SHLIB_FFLAGS`
  for shared libraries
`MAIN_LDFLAGS`
  additional flags for the main link
`SHLIB_LDFLAGS`
  additional flags for linking the shared libraries

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.

### B.6 Building the GNOME interface

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. You need at least the following libraries (or later) 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`
  use GNOME, or specify its prefix [no]
`--with-gnome-includes=DIR`
  specify location of GNOME headers
`--with-gnome-libs=DIR`
  specify location of GNOME libs
`--with-libglade-config=LIBGLADE_CONFIG`
  specify location of `libglade-config`

### B.7 Platform notes

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.

#### B.7.1 MacOS X

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

The `vecLib` library of MacOS >= 10.2.2 can be used via the configuration options

    --with-blas="-framework vecLib" --with-lapack

to provide higher-performance versions of the BLAS and LAPACK routines.

#### B.7.2 Solaris on Sparc

R has been built successfully on Solaris 8 aka Solaris 2.8 aka SunOS 5.8 using `gcc`/`g77` and the SunPro WorkShop 6 (aka Forte 6) compilers and the `Sun ONE Studio 7 Compiler Suite' (aka Forte 7), and less regularly on Solaris 2.5.1, 2.6, 2.7 and 9. GNU `make` is needed prior to 2.7 for building other than in the source tree, and perhaps even then.

`gcc` 3.2.1 and 3.2.2 generate incorrect code on 32-bit Solaris builds with optimization, but versions 3.1 and 3.2 work correctly. At least files `src/main/engine.c`, `src/main/graphics.c` and `src/modules/devX11.c` are affected.

If using `gcc`, do ensure that the compiler was compiled for the version of Solaris in use. (This can be ascertained 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. For many C++ applications (e.g. package Matrix) Forte 7 requires `-lCstd`, which the configure script will add to `SHLIB_CXXLDFLAGS` if it identifies the compiler correctly.

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 Forte 6 and 7 compilers we used

    CC="cc -xarch=v9"
    CFLAGS="-xO5 -xlibmil -dalign"
    F77="f95 -xarch=v9"
    FFLAGS="-xO5 -xlibmil -dalign"
    CXX="CC -xarch=v9"
    CXXFLAGS="-xO5 -xlibmil -dalign"

in `config.site`.

For 64-bit compilation with `gcc` 3.2/3.2.1/3.2.2 we used

    CC="gcc -m64"
    FFLAGS="-m64 -g -O2"
    CXXFLAGS="-m64 -g -O2"
    LDFLAGS="-L/usr/local/lib/sparcv9 -L/usr/local/lib"

Note that using `f95` allows the Sun performance library `libsunperf` to be selected: it will not work with `f77`, nor with `g77`. `libsunperf` contains both BLAS and LAPACK code, and `--with-lapack` is recommended for 32-bit builds using `f95`, but not for 64-bit builds where on our test system it failed in both Forte 6U1 and 7, albeit in different ways. Our experience has been that ATLAS's BLAS is faster than `libsunperf`, especially for complex numbers.

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`, `-mno-unaligned-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.

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).

#### B.7.3 HP-UX

R has been built successfully on HP-UX 10.2 and HP-UX 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 HP-UX (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 similar to

    ld: CODE_ONE_SYM fixup to non-code subspace in file foo.o -
    shared library must be position independent. Use +z or +Z to recompile.

(`+z` and `+Z` are the PIC flags for the native compiler `cc`.) 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 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, or make sure they are not in the library path. The symptom will the linker error shown in the last paragraph. Static libraries that might be found and would cause problems are

    BLAS                   use --without-blas
    Tcl/Tk                 use --without-tcltk
    GNOME                  not built by default
    libpng                 use --without-libpng
    jpeg                   use --without-jpeglib
    zlib                   use --without-zlib

and `bzip2` and `pcre` are problematic when building `libR.so`, only. These can be avoided by `--without-bzlib` and `--without-pcre` respectively.

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 HP-UX 11.0 may have a `gcc` that was installed under HP-UX 10.2. Between versions 10.2 and 11.0 HP-UX 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 HP-UX 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`).

#### B.7.4 IRIX

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.

#### B.7.5 Alpha/OSF1

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.

#### B.7.6 Alpha/FreeBSD

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.

#### B.7.7 AIX

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.

## Appendix C New platforms

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 ....

## Function and variable index

- `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

## Concept index

- AIX: AIX
- BLAS library: Solaris, MacOS X, Using FORTRAN, Linear algebra
- FORTRAN: Using FORTRAN
- Help pages: Simple compilation
- HP-UX: HP-UX
- Installation: Installation
- Installing under MacOS: Installing R on Classic MacOS
- Installing under Unix: Installing R under Unix
- Installing under Windows: Installing R under Windows
- IRIS: IRIX
- LAPACK library: Solaris, MacOS X, Linear algebra
- Linux: Installing R under Unix
- MacOS X: MacOS X, Installing R on Classic MacOS, Installing R under Unix
- Manuals: Making the manuals
- Manuals, installing: Installation
- Obtaining R: Obtaining R
- Packages: Add-on packages
- Packages, installing: Installing packages
- Packages, removing: Removing packages
- Packages, updating: Updating packages
- Solaris: Solaris
- Sources for R: Getting and unpacking the sources

#### Footnotes

1. if you have the source-code package files installed

2. Using the SunPro aka Forte aka Sun ONE `cc` and `f95` compilers

3. On HP-UX `fort77` is the POSIX compliant FORTRAN compiler, and comes second in the search list.

4. as well as its equivalence to the `Rcomplex` structure defined in `R_ext/Complex.h`.

5. In particular, avoid `g77`'s `-pedantic`, which gives confusing error messages.

6. e.g., to use an optimized BLAS on Sun/Sparc