Hi rpy users!
I'm trying to export some variables to R environment through rpy, arrays
containing np.nan.
I want omit these values inside R, but I get an error doing this.
import numpy as np
from rpy import r
a = np.array([1,2,3,4,5,np.nan, 7, 8, np.nan, 9,10])
r.assign("a",a)
r('b <- na.omit(a)')
RPy_RException: Error in object[-omit, , drop = FALSE] : incorrect number
of dimensions
I have tryed this too, but without success.
r('c<- b[!complete.cases(b),]')
RPy_RException: Error in a[!complete.cases(a), ] : incorrect number of
dimensions
I experimented the na.rm=TRUE, inside a mean function and it's ok, but I'm
dealing with some functions that doesn't permit use "na.rm=TRUE"
r('mean(a,na.rm=TRUE)')
5.444444444444445
I apreciate any tips or helps with this.
Thank you.
All the best,
Arnaldo.
---
*Arnaldo D'Amaral Pereira Granja Russo*
Lab. de Estudos dos Oceanos e Clima
Instituto de Oceanografia - FURG
rpy
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