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updates for R

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git-svn-id: https://swig.svn.sourceforge.net/svnroot/swig/trunk@10163 626c5289-ae23-0410-ae9c-e8d60b6d4f22
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William S Fulton 2007-11-22 23:55:34 +00:00
commit 83a741c35e
6 changed files with 115 additions and 89 deletions
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21
Doc/Manual/R.html
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@ -30,7 +30,7 @@ href="http://www.r-project.org/">www.r-project.org</a>.
The R bindings are under active development. They have been used to
compile and run an R interface to QuantLib running on Mandriva Linux
with gcc, and testing on other platforms is appreciated.
with gcc. The R bindings also work on Microsoft Windows using Visual C++.
</p>
<H2><a name="R_nn2"></a>32.1 Bugs</H2>
@ -43,7 +43,6 @@ Currently the following features are not implemented or broken:
<ul>
<li>Garbage collection of created objects
<li>C Array wrappings
<li>tested on UNIX only, how well or badly it works on windows is not known
</ul>
<H2><a name="R_nn3"></a>32.2 Using R and SWIG</H2>
@ -67,7 +66,7 @@ The corresponding comments for C++ mode are
<div class="shell">
<pre>
swig -c++ -r example.i
swig -c++ -r -o example_wrap.cpp example.i
PKG_LIBS="example.cxx" R CMD SHLIB example_wrap.cpp
</pre>
</div>
@ -75,20 +74,20 @@ PKG_LIBS="example.cxx" R CMD SHLIB example_wrap.cpp
<p>
Note that R is sensitive to the name of the file and to the file
extension in C and C++ mode. The name of the wrapper file must be the
name of the library. Also in C++ mode, the file extension must be cpp
rather than cxx for the R compile command to recognize it.
name of the library. Also in C++ mode, the file extension must be .cpp
rather than .cxx for the R compile command to recognize it.
</p>
<p>
The commands produces two files. A dynamic shared object file called
example_wrap.so and an R wrapper file called example_wrap.R. To load these
example.so, or example.dll, and an R wrapper file called example.R. To load these
files, start up R and type in the following commands
</p>
<div class="shell">
<pre>
dyn.load('example_wrap.so')
source('example_wrap.R')
dyn.load(paste("example", .Platform$dynlib.ext, sep=""))
source("example.R")
cacheMetaData(1)
</pre>
</div>
@ -108,12 +107,12 @@ time by precompiling the R wrapper. This can be done by creating the
file makeRData.R which contains the following
<pre>
source('BigFile_wrap.R')
save(list=ls(all=TRUE),file="BigFile_wrap.RData", compress=TRUE)
source('BigFile.R')
save(list=ls(all=TRUE),file="BigFile.RData", compress=TRUE)
q(save="no")
</pre>
This will generate a compiled R file called BigFile_wrap.RData that
This will generate a compiled R file called BigFile.RData that
will save a large amount of loading time.