SVM error
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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