I am using the fuction r.scan() because i need to read big data file,since
read_table() or read_csv() is not recommended for those kind of data, witch
function would be the best one, sageobj() or x.sage(), or would both do the
job well, thanks in advance for you answer

On Tue, Apr 13, 2010 at 10:26 PM, rickhg12hs <rickhg1...@gmail.com> wrote:

> x.sage() works great too!
>
> On Apr 13, 12:20 pm, ablondin <alexandre.blondin.ma...@gmail.com>
> wrote:
> > I answered myself.
> > It suffices to call sageobj on it.
> >
> > sage: x = r.c([1,2,3])
> > sage: x
> > [1] 1 2 3
> > sage: list(x)
> > [[1] 1, [1] 2, [1] 3]
> > sage:
> > sage:
> > sage:
> > sage: sageobj(x)
> > [1, 2, 3]
> > sage: type(sageobj(x))
> > <type 'list'>
> >
> > Thanks anyway !
> >
> > On 13 avr, 10:23, ablondin <alexandre.blondin.ma...@gmail.com> wrote:
> >
> > > Dear Sage community,
> > > I'm trying to use the R interface (which means I have to learn R as
> > > well) and it's not going too bad, but I have no idea how I can
> > > transform an R object (a vector) to get the associated list. For
> > > instance, if I type
> > > sage: x = r.c([1,2,3])
> > > sage: x
> > > [1] 1 2 3
> > > sage: list(x)
> > > [[1] 1, [1] 2, [1] 3]
> >
> > > I would like the output not to be a list with R objects as its
> > > elements, but simply a list. Is that possible ?
> >
> > > Thanks !
> >
> > > Alex
>
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-- 
Olivier Picard

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