On 10/9/07, Matthew Brett <[EMAIL PROTECTED]> wrote:
> Hi,
>
> > >>> x = numpy.array([1,2,3,4], dtype=numpy.float32)
> > >>> rpy.r.mean(x)
> >
> > *** caught segfault ***
>
> 32 or 64 bit?
>
> Matthew
>
32-bit Linux distribution (I think this is what you are asking)
Dave
---
Hi,
> >>> x = numpy.array([1,2,3,4], dtype=numpy.float32)
> >>> rpy.r.mean(x)
>
> *** caught segfault ***
32 or 64 bit?
Matthew
-
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Still grepping through log files to find prob
On 10/9/07, Gregory Warnes <[EMAIL PROTECTED]> wrote:
>
> It sounds like your version of RPy may have been compiled without
> NumPy support. Did you compile it yourself, or are you using a pre-
> build version.
>
I have what appears to be a related issue.
rpy 1.0RC3
using numpy 1.0.3
I compiled
It sounds like your version of RPy may have been compiled without
NumPy support. Did you compile it yourself, or are you using a pre-
build version.
-G
On Oct 8, 2007, at 5:18PM , Vince Fulco wrote:
> A review of the docs indicates that conversion s/b automatic. I am
> trying to do some e
I reported this already before, but not yet as an official bug, but the
latest rpy release in combination with Python 2.5 and Numpy does'nt work
with float32, but it seems to work with float64.
float32 results in unexpected results. Hopefully this will be fixed soon.
Ciao
Vince Fulco wrote:
> A
