The basic problem is that by default, RPy converts objects returned
to python to a python object. Unfortunately, this conversion loses
some information, including the type of the original R object.
To avoid this conversion add two lines to your code:
On Feb 22, 2008, at 12:36PM , marco hofmann wrote:
> Hi all,
> I have a problem with the predict command. Here is an example:
>
> from rpy import *
# avoid automatic conversion
set_default_mode(NO_CONVERSION)
> r.library("nnet")
> model = r("Fxy~x+y")
>
> df = r.data_frame(x = r.c(0,2,5,10,15)
> ,y = r.c(0,2,5,8,10)
> ,Fxy = r.c(0,2,5,8,10))
>
> NNModel = r.nnet(model, data = df
> , size =10, decay =1e-3
> , lineout=True, skip=True
> , maxit=1000, Hess =True)
>
> XG = r.expand_grid(x = r.seq(0,7,1), y = r.seq(0,7,1))
> x = r.seq(0,7,1)
> y = r.seq(0,7,1)
>
> fit = r.predict(NNModel,XG)
# turn automatic conversion back on
set_default_mode(BASIC_CONVERSION)
fit = r.predict(NNModel,XG)
print fit
-Greg
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