don't add the library, just the path to it:
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/lib/R/lib/
Robert
From: David Montgomery [mailto:dmontgom...@brandscreen.com]
Sent: Wednesday, 9 March 2011 3:46 PM
To: Denham R
I think the third option is likely to be the simplest for you.
First off, find where libR.so actually is. Its probably somewhere like
/usr/lib/R/lib/ but at the comand line you can type R RHOME to see the
base of this path.
At home under ubuntu, mine is in /usr/lib/R/lib/ and at work it is in
/op
I had a look at this, and hist did some very weird things for me in
rpy2, plotted a lot of numbers over the top of the histogram. I had
better luck with histogram from the package lattice.
I was wondering, do you want a histogram of the values in d that fall
between 200 and 2000? If so, you proba
-Original Message-
From: Laurent Gautier [mailto:lgaut...@gmail.com]
Sent: Tuesday, 2 November 2010 4:49 PM
To: Denham Robert
Cc: RPy help, support and design discussion list
Subject: Re: [Rpy] converting r array to numpy array
This is a bug then.
The problem is in the way strides are compu
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Regards, Robert
-Original Message-
From: Laurent Gautier [mailto:lgaut...@gmail.com]
Sent: Monday, 1 November 2010 4:58 PM
To: Denham Robert
Cc: RPy help, support and des
I got caught out converting a 3d array in R to a numpy array. I did
something like:
import numpy
import rpy2
import rpy2.robjects as robjects
marr = robjects.r.array(robjects.IntVector(range(54)),dim=
robjects.IntVector([9,2,3]))
marrpy = numpy.array(marr)
print marrpy.flatten()
print robjects.r[
I know this was raised before, and I saw a suggestion that using
gc.collect seemed to fix things, but I am getting I think a memory leak
in rpy2 which doesn't seem to occur in rpy. This could be how I am
coding things of course. Here is an example:
import rpy2.robjects as robjects
from numpy impor
I am having problems with rp2.rpy_classic with conversions. If I do:
$ python
Python 2.5.2 (r252:60911, Aug 20 2008, 17:14:32)
[GCC 4.1.2 20070115 (prerelease) (SUSE Linux)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from rpy2.rpy_classic import *
>>>
