Dear List,

I´m trying to implement the functionalities from WEKA into my modeling project in R through the RWeka package.
In this context I have a slightly special question about the filters implemented in WEKA.
I want to convert nominal attributes with k values into k binary attributes through the NominalToBinary filter ("weka.filters.supervised.attribute.NominalToBinary"). But unfortunately I can`t apply the filter to my data.
Here is my code:

nombi <- make_Weka_filter("weka/filters/supervised/attribute/NominalToBinary")
x2bin <- nombi(data=dat, control =Weka_control(N=TRUE, A=TRUE))

I didn't get an error message, but it still don't work. My nominal attribute is of class "factor".
Maybe the problem has to do with the argument list.
Argument list:
  (formula, data, subset, na.action, control = NULL)
What is meant with the argument "formula"?

Any advice? I`d be glad for any hint!
I`m using R 2.7.2 and RWEKA 0.3-14

TIM
------------------------------------------------------------------------------- 
Dipl.-Geogr. Tim Häring
Sachgebiet Standort und Bodenschutz (SG 2.1)
Bayerische Landesanstalt für Wald und Forstwirtschaft
Am Hochanger 11
D-85354 Freising

E-Mail: tim.haering@lwf.bayern.de
http://www.lwf.bayern.de




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