[R] SVM error

Uwe Ligges ligges at statistik.uni-dortmund.de
Mon Dec 31 18:50:15 CET 2007

Are we talking about package "e1071"?

pedrosmarques at portugalmail.pt wrote:
> Hi all,
> I'm having this error, since I'm working with a data matrix I don't understand what's happening; I've tried several ways to solve this, even working with sparse matrix, but nothing seems to solve it, I've also tried svm (with a simple matrix 3*3 and still got the same error.
>> dados<-read.table("b.txt",sep="",nrows=30000)

We cannot reproduce: We do not have "b.txt". See the posting guide.

>> dados1<-as.matrix(dados[,-1],nrows=30000,ncol=13,type=numeric)

Why do you specify nrows, ncol and type=numeric?

>> dados2<-as.vector(dados[,1])

Well, as.vector() strips attributes, particularly it removes the 
"factor" attributes!

>> model<-svm(scale=TRUE,type=C,dados[,-1],y=dados[,1],kernel=RBF)

type=C and kernel=RBF cannot make sense, I guess you mean

     model <- svm(x=dados[,-1], y=dados[,1], scale=TRUE,
                  type="C", kernel="RBF")

> Error in as.character(x) : cannot coerce to vector
>> model<-svm(scale=TRUE,type=C,dados1,y=dados2,kernel=RBF)

Same as before.

Please do read "An Introduction to R" - particularly on how to specify 
arguments in function calls before proceeding.

Uwe Ligges

> Error in as.character(x) : cannot coerce to vector
> Best regards,
> Pedro Marques
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