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: [email protected]
http://www.lwf.bayern.de
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