This will not work for "anonymous" R objects, that R objects not having
an associated symbol (e.g., x = rpy2.robjects.IntVector([1,2,3]) ).
For what it's worth, pickling of low-level objects (rpy2.rinterface) is
working in the tip on bitbucket (that's the dev branch for 2.1). It is
using serializ
FWIW, the solution I have for now is to use dump(ls(), file="") to get a
deparsed string representation of all the objects in memory, which can
then be pickled. I'm not having problems with it right now in any simple
cases, but I can imagine there are situations where deparsing gets
hairy, so being
I'm trying to do something similar: I'd like to create a save file that
includes the current state of the R environment. I don't want to create
a separate file for the R environment via one of R's built-in commands,
so I thought I'd pickle globalEnv alongside some other objects I'm
pickling. When I
Hi all,
I'm using Rpy2 to train a logistic regressor (using the "glm" function
in R), and I need to save the model for futher use.
I naively try to use pickle, but I have an error message:
import rpy2.robjects as robjects
fit = robjects.r.glm(formula=f, family=robjects.r.binomial(), data=data)
o
