As you noticed, there was something missing in the example I just gave.
It should have been:
import array
import rpy2.robjects as ro
d = dict(x = array.array('i', [1,2]), y = array.array('i', [2,3]))
dataf = ro.r['data.frame'](**d)
L.
On Thu, 2008-10-16 at 20:02 +0200, laurent wrote:
>
> On Thu, 2008-10-16 at 10:55 -0400, laurent oget wrote:
> > In Rpy 1 i c can do
> >
> > >>> import rpy
> > >>> d=dict(x=[1,2],y=[2,3])
> > >>> rpy.set_default_mode(rpy.NO_CONVERSION)
> > >>> df=rpy.r.as_data_frame(d)
> > >>> df
> > <Robj object at 0xb7cd1400>
> >
> > and i can then use this dataframe as an argument for lm
> >
> > Is there any way to do something similar in rpy2? For the moment the
> > only thing I have found is to use an Environment and to copy my
> > dictionary into it.
>
> There are several ways.
>
> The closest to yours, although not the safest one(*),
> might be:
>
> import rpy2.robjects as ro
> d = dict(x = [1,2], y = [2,3])
> dataf = ro.r['data.frame'](**d)
>
>
> (*: not the safest one because python dictionaries do not conserve the
> order, and because R list do not enforce unique names - using
> rpy2.rlike.container.TaggedList and rpy2.robjects.RDataFrame intends to
> be "safer")
>
>
> L.
>
> >
> > Laurent
> >
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