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?
thanks,
Manuel Rivas
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