Similar answer, without the windows restriction, and it should be much
easier than on windows, provided you have a recent R on Solaris 10, and I
would recommend you build your own.
Laurent Oget, Predictix LLC
2009/1/28 Evan Girvetz
> Similar to my last question...can Rpy2 be installed and run o
I am pretty sure it could, with the same limitations as it does on 32 bit
windows, i.e. console redirection is not working, however you will have to
build it from source. There are a number of posts on the mailing lists about
building rpy2 from source on windows.
Laurent Oget, Predictix LLC
2009/
Similar to my last question...can Rpy2 be installed and run on a Solaris
10 system?
Thanks,
-Evan
--
**
Evan H. Girvetz
Postdoctoral Research Associate
College of Forest Resources
University of Washington
Box 352100
Seattle, WA 98195-2100
girv...@u.washingt
Can Rpy2 be installed on a Microsoft Windows Server 2003 R2 Enterprise
x64 Edition (with Service Pack 2)? If not, can Rpy?
Thanks,
-Evan
--
**
Evan H. Girvetz
Postdoctoral Research Associate
College of Forest Resources
University of Washington
Box 352100
Sea
Nathaniel Smith wrote:
> On Tue, Jan 27, 2009 at 1:02 PM, Jeff Gentry
> wrote:
>>> I am also getting:
>>> >>> robjects.r('NA')[0]
>>> True
>> So does this imply that R's NA objects always evaluate as Python's True
>> right now? What is (or should be) the equivalent to a NA value in Python?
>
>
What was found then is that an explicit call to Python's garbage
collector now and then was clearing the situation.
import gc
gc.collect()
L.
Nathaniel Smith wrote:
> I have some memory leak somewhere kicking my butt -- I'm running large
> numbers of tests on a small cluster, and my slaves ar
I have some memory leak somewhere kicking my butt -- I'm running large
numbers of tests on a small cluster, and my slaves are falling over
and dying from the memory use -- and so my eye was caught by a
discussion on this list back in November about memory leak issues in
rpy2. I don't know yet wheth
I looked at ctypes earlier on, as it would have also made the port to
things such as Jython and Pypy easier.
However, the needs seemed to me to exceed the capabilities of ctypes at
the time.
I also remember that when presenting some of the issues I had during
development on a Python mailing-li
