Dear list,
I installed R 2.3.1 on a solaris machine. The first time, I used the
wrong option --enable-shlib, the installation went smoothly (glitch
1), but of course did not generate libR.so. So, I ran ./configure
again with --enable-R-shlib, make and make install went well but still
there was
Why guess? There are accurate statements in the R-admin manual,
I read the manual 2 years ago, and the info I got was still correct.
and the RH RPM change was discussed on this list in 2006:
https://stat.ethz.ch/pipermail/r-devel/2006-January/036118.html
I simply do not know RPMs have been
That is not true, almost all binaries come with R as shared library -
it is in fact the default on Mac OS X and Windows. Most Linux
distributions provide a shared library binary as well.
This would be good news. But at least, under linux,
./configure --help
--enable-R-shlibbuild the
then either build your own with correct options or talk to your
distribution's packaging team.
It seems that my knowledge about this option is outdated. When I
first encountered this problem two years ago, the R/rpm distribution
came with no libR.so. I was told that --enable-R-shlib would lead
Dear list,
Rpy is a python module that provides python interface to R. The
following simple commands
from rpy import *
r.plot(0)
is supposed to create a window that displays the result of plot(0).
However, we observe that
1. Under *nix, rpy+R+python work as expected
2. Under windows, python
On 1/9/06, Prof Brian Ripley [EMAIL PROTECTED] wrote:
How is Rpy calling R? Presumably R is running single-threaded, and the
problem is likely to be that Rpy is using blocking I/O on the R process
and hence blocking the GUI callbacks that drive the window.
The not-so-simple answer is not to
I was wondering
what is the difference between rpy and RSPython.
The main difference is that rpy does one-way communication, is simpler
than RSPython, than is easier to use.
So I have a question for you - why rpy instead of RSPython? Have you
tried both, and can you give a comparison of pros
This problem was brought up by Xu Neng [EMAIL PROTECTED] in the rpy-list.
Quote
Remember the old times when computer guys thought the year 2000 was
too far away to be worried? In my case, the dates like -06-6 and
-09-09 are used as special missing codings for dates.
If R cannot handle
by objects, not functions. (I notice that manuals of
R libraries are simple function references.)
Many thanks in advance.
--
Bo Peng
Department of Statistics
Rice University
http://bp6.stat.rice.edu:8080/
__
R-devel@r-project.org mailing list
https
* Wrap C++ class hierarchy. Virtual functions need to be supported.
(SWIG can generate Python shadow classes that behave almost exactly
like the underlying C++ classes)
This is hard to do in R, because the R object model is quite different
from that of C++ (whereas Python's is more
SWIG is a very nice idea. ...
SWIG is a wonderful tool that makes wrapping C++ code super-easy. I
can write pure C++ code and even test them by writing a main()
function. Then, using a simple interface file, all my C++ classes
becomes Python (shadow) classes like magic. It will take much more
Dear list,
A while ago, Vadim asked opinions on improving efficiency of sample()
with prob, e.g. sample with replacement with weight. (
https://stat.ethz.ch/pipermail/r-devel/2004-September/030844.html ) He
did not post what he ended up with this problem though.
I am having exactly the same
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