Warnes, Gregory R. wrote:
> Try locating the libR.dylib file and then placing the exact correct
> directory in the LD_LIBRARY_PATH environment variable.
Just in case this is relevant: On my MAC I needed to use the
DYLD_LIBRARY_PATH rather than the LD_LIBRARY_PATH common on UNIXes I've
used befo
Is there any support for the following R functionality through rpy?
L3 <- LETTERS[1:3]
(d <- data.frame(cbind(x=1, y=1:10), fac=sample(L3, 10, replace=TRUE)))
# The ability to do this indexing is what I would like...
d[,2]
Also I would like to subset a data frame by its values, i.e. in R
subset
Hi,
I know more about python than R and I'm wondering is there any pickling
support in rpy? If there isn't, is there any scope for providing some?
I've used r.dput a few times to persist some R objects but it would be
very useful if there was a more transparent way to do this.
Anyone got any t
I think if you set your LD_LIBRARY_PATH environment variable to include
the directory where libR.so has been installed you might get some joy.
John.
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Well I seemed to have fixed it by changing the call to KillAllDevices()
in rpymodule.c to Rf_KillAllDevices() as is defined in libR.so.
Perhaps there's a better way?
Thanks for a great rpy package BTW,
John.
John Reid wrote:
> I get this error when I import rpy:
> /usr/local/li
I get this error when I import rpy:
/usr/local/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 RHOM
Hi,
Manuzhai's patch works for me. I ended up using
gcc version 3.4.4 (cygming special, gdc 0.12, using dmd 0.125)
although I don't think that made a difference. I didn't compile R, I'm
just using the 2.6 binary version.
Hope this info is useful,
John.
Brian Miles wrote:
He
I get the silent Windows crash after downloading the rpy 1.0.0 package
and running:
python setup.py build --compile=mingw32 install
python
>>> import rpy
I'm updating mingw32 to see if this makes a difference. Will rpy work
with R 2.6.0? I see no mention of which versions of R are supported.