HI
I am new to R.
I have one problem in the predict function of the kernlab.
I want to use ksvm and predict with kernelmatrix (S4 method for signature
'kernelMatrix')
#executing the following sentences
library(kernlab)
# identity kernel
k <- function(x,y) {
n<-length(x)
cont<-0
for(i in 1:n){
if(x[i]==y[i]){
cont<-cont+1
}
}
cont
}
class(k) <- "kernel"
data(promotergene)
ind <- sample(1:dim(promotergene)[1],20)
genetrain <- promotergene[-ind, -1]
genetest <- promotergene[ind,-1 ]
kx <- kernelMatrix(k, as.matrix(genetrain))
y<-as.vector(promotergene[-ind,1 ])
#y<-as.factor(promotergene[-ind,1 ])
y
gene1 <- ksvm(kx, y, type="C-svc")
gene1
genetype <- predict(gene1,genetest)
Error en as.matrix(Z) : objeto "Z" no encontrado
#genetest1<-as.matrix(genetest)
#genetype <- predict(gene1,genetest1)
genetype
thank you,
nelsonhernandez
[EMAIL PROTECTED]
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