[R] Plot.svm error

[pedrosmarques at portugalmail.pt]

Hi all,

Sorry to be bothering again with probably an easy error to fix, but I've been trying to solve the problem and haven't been able yet to do it. So I'm doing this:

> dados<-read.table("b.txt",sep="",nrows=30000)

> model<-svm(x=dados[,-1],y=dados[,1],scale=TRUE,type="C-classification",kernel="radial",cost=1,degree=3,gamma=0.083,coef0=0,nu=0.5,epsilon=0.1)
Warning message:
In svm.default(x = dados[, -1], y = dados[, 1], scale = TRUE, type = "C-classification",  :
  Variable(s) ‘V12’ and ‘V13’ constant. Cannot scale data.

> summary(model)

Call:
svm.default(x = dados[, -1], y = dados[, 1], scale = TRUE, type = "C-classification", 
    kernel = "radial", degree = 3, gamma = 0.083, coef0 = 0, cost = 1, 
    nu = 0.5, epsilon = 0.1)


Parameters:
   SVM-Type:  C-classification 
 SVM-Kernel:  radial 
       cost:  1 
      gamma:  0.083 

Number of Support Vectors:  19665

 ( 8284 7579 1327 943 510 875 147 )


Number of Classes:  7 

Levels: (as integer) 
 2 1 3 7 5 6 4

> class<-factor(dados[,1])

> plot(model, data= dados[,-1], formula= class~.,svSymbol = 1, dataSymbol = 2, symbolPalette = rainbow(4),color.palette = terrain.colors)
Error in Summary.factor(c(2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L,  : 
  min not meaningful for factors


I should be very grateful if someone could help me on this..

Best regards,

Pedro Marques