I am trying to call R functions from python but for some reason which I do not know yet, I am getting an RRuntimeError when I am converting a numeral to R rather than a matrix (Dataframe) to R
For example, consider the following simple example
import rpy2.robjects as robjects, pandas as pd, numpy as np
from rpy2.robjects import r
from rpy2.robjects.numpy2ri import numpy2ri
from rpy2.robjects.packages import importr
df= pd.DataFrame(np.random.random((108, 2)), columns=['Number1','Number2'])
p = 3
resi1=np.array(df, dtype=float)
p1=np.array(p, dtype=float)
r_resi = numpy2ri(resi1)
r_p1= numpy2ri(p1)
Then the Output is
---------------------------------------------------------------------------
RRuntimeError Traceback (most recent call last)
<ipython-input-1-7970a0b7c100> in <module>()
11
12 r_resi = numpy2ri(resi1)
---> 13 r_p1= numpy2ri(p1)
D:\Anaconda3\lib\site-packages\rpy2\robjects\numpy2ri.py in numpy2ri(o)
80 #FIXME: no dimnames ?
81 #FIXME: optimize what is below needed/possible ? (other ways to create R arrays ?)
---> 82 res = rinterface.baseenv['array'](vec, dim=dim)
83 # R does not support unsigned types:
84 elif o.dtype.kind ==
"u":
RRuntimeError: Error in (function (data = NA, dim = length(data), dimnames = NULL) :
'dims' cannot be of length 0
I am not sure what is going wrong here?
The converter numpy array -> R array needs needs the dimension of the array. There is none here:
>>> p1
array(3.0)
>>> p1.shape
()