On 3/15/11 8:28 PM, Brent Pedersen wrote:
> system info below.
> maybe it's internal to R:
>
>
>> a = 1:1
>> sum(a)
> [1] NA
> Warning message:
> In sum(a) : Integer overflow - use sum(as.numeric(.))
>> sum(as.numeric(a))
> Error: cannot allocate vector of size 1.5 Gb
This is a limitation/
system info below.
maybe it's internal to R:
> a = 1:1
> sum(a)
[1] NA
Warning message:
In sum(a) : Integer overflow - use sum(as.numeric(.))
> sum(as.numeric(a))
Error: cannot allocate vector of size 1.5 Gb
>
but this works in a new session:
> a = vector(length=1, mode="numer
On 3/15/11 5:45 PM, Brent Pedersen wrote:
> On Tue, Mar 15, 2011 at 9:40 AM, Laurent Gautier wrote:
>> It can do either one of the two.
>>
>> http://rpy.sourceforge.net/rpy2/doc-dev/html/numpy.html?#low-level-interface
>>
>>
>>
>> L.
>>
>
> how about in this case?::
>
>
>import numpy as np
>
On Tue, Mar 15, 2011 at 9:40 AM, Laurent Gautier wrote:
> It can do either one of the two.
>
> http://rpy.sourceforge.net/rpy2/doc-dev/html/numpy.html?#low-level-interface
>
>
>
> L.
>
how about in this case?::
import numpy as np
import rpy2.robjects as robjects
import rpy2.robjects.numpy
It can do either one of the two.
http://rpy.sourceforge.net/rpy2/doc-dev/html/numpy.html?#low-level-interface
L.
On 3/15/11 3:52 PM, Brent Pedersen wrote:
> hi, does numpy2ri make a copy of the numpy array data? or do they
> share memory? it looks to me like they are sharing memory[1], but
hi, does numpy2ri make a copy of the numpy array data? or do they
share memory? it looks to me like they are sharing memory[1], but just
want to be sure.
thanks,
-brent
[1] https://bitbucket.org/lgautier/rpy2/src/eafb2022875b/rpy/rinterface/array.c
