Hi Gregory and Sean,
thanks a lot for your helpful answers! They solved the problem and I can
go on.
Marco
Gregory Warnes schrieb:
> 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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