Hi there,
I'm not familiar with R.. and use RPy to use the graphical features of R
with Python.
My problem is that passing arguments to plotting functions does not work
in Python as in R.
For example in R:
> x<-c(1,2,3)
> y=x
> f<-c(1,2,3,4,5,6,7,8,9)
> z<-array(f,dim=c(3,3))
> image(x,y,
Peter schrieb:
> marco hofmann wrote:
>> Hi there,
>> I'm not familiar with R.. and use RPy to use the graphical features of R
>> with Python.
>>
>> ...
>> >>> rpy.r.image(x,y,z,axes=FALSE)
>>
>> Traceback (most recent call last)
Hi all,
I have a problem with the predict command. Here is an example:
from rpy import *
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
formation, 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:
>>
>>