Even in R 2.6.2 the symbol is Rf_KillAllDevices, so this is an rpy
installation issue (one that I cannot reproduce).
Rpy has a mailing list, so why ask here and not there? (In any case, the
convention is that questions about the development version of R should be
asked on the R-devel list.)
On Tue, 25 Mar 2008, Peter Dalgaard wrote:
Bob and Deb wrote:
Hello All,
I've been using R for a while and decided to test R from the svn trunk. I
know that trunk is not stable, but I wanted to see if I can install and run
the latest rpy on my Ubuntu 7.10 box. It installed ok, but I got the
runtime error message:
$ python
Python 2.5.1 (r251:54863, Mar 7 2008, 04:10:12)
[GCC 4.1.3 20070929 (prerelease) (Ubuntu 4.1.2-16ubuntu2)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
import rpy
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python2.5/site-packages/rpy.py", line 134, in <module>
""" % RVERSION)
RuntimeError: /usr/lib/python2.5/site-packages/_rpy2070.so: undefined
symbol: KillAllDevices
RPy module can not be imported. Please check if your rpy
installation supports R 2.7.0. If you have multiple R versions
installed, you may need to set RHOME before importing rpy. For
example:
>>> from rpy_options import set_options
>>> set_options(RHOME='c:/progra~1/r/rw2011/')
>>> from rpy import *
I think this is self-inflicted. You are expecting Rpy to support R
version 2.7.0 before it is released.
I'm not familiar with Rpy, but at the very least I'd expect that you
need to reinstall the package with R 2.7.0 to obtain _rpy2070.so.
I think the name indicates that it was installed under 2.7.0. But Rpy is
looking for an installed version of R (in system directories), and that
seems rash for an unstable pre-alpha version of R.
(What is a Windows path to the install directory of a long obsolete R
version doing output on Ubuntu, BTW?)
Btw, RHOME on my computer is located at /usr/local/lib/R and I have compiled
R shared library directory in my ld.so.conf.
Bob
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O__ ---- Peter Dalgaard Ă˜ster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
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--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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