Manuel A. Rivas wrote:
> Hello ,
>
> I am trying to use the r.nls function from rpy2 in the same fashion as
> rpy by importing rpy_classic.
>
>
> In R: the syntax y ~ x would tell the lm function that y depends on x as
> its model.
>
> In python using rpy I would use rpy's "evaluate a string" functionality.
>
> i.e.
>
>> >>> from rpy import r
>> >>> my_x = [5.05, 6.75, 3.21, 2.66]
>> >>> my_y = [1.65, 26.5, -5.93, 7.96]
>> >>> print r.lm(r("y ~ x"), data = r.data_frame(x=my_x,
>> y=my_y))['coefficients']
>
> as described in the man pages:
>
> However, if I do the same with rpy2
>
> >>> from rpy2.rpy_classic import r
> >>> my_x = [5.05, 6.75, 3.21, 2.66]
> >>> my_y = [1.65, 26.5, -5.93, 7.96]
> >>> r.lm(r("y ~ x"), data = r.data_frame(x=my_x, y=my_y))
>
>
> I get the following error:
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/home/radon00/rivas/lib/python/rpy2/rpy_classic.py", line 265,
> in __call__
> return self.eval(self.parse(text=s))
> File "/home/radon00/rivas/lib/python/rpy2/rpy_classic.py", line 215,
> in __call__
> res = rpy2py(res)
> File "/home/radon00/rivas/lib/python/rpy2/rpy_classic.py", line 174,
> in rpy2py
> res = rpy2py_basic(obj)
> File "/home/radon00/rivas/lib/python/rpy2/rpy_classic.py", line 160,
> in rpy2py_basic
> raise ValueError("Invalid type for 'obj'.")
> ValueError: Invalid type for 'obj'.
>
>
> any ideas how to do the same operation in rpy2 with rpy_classic?
Try adding this to the beginning:
import rpy2.rpy_classic as rpy
rpy.set_default_mode(rpy.NO_CONVERSION)
(rpy_classic is way behind the rest of rpy2 because of limited time on
my end, and seemingly limited interest/contributions from users in
having it improved to a full compatibility).
L.
> thanks,
> Manuel Rivas
>
>
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