[R] Strange indices of support verctors from e1071

Juergen Rose rose at rz.uni-potsdam.de
Mon Jun 8 18:33:26 CEST 2009


Am Montag, den 08.06.2009, 12:30 -0400 schrieb milton ruser:
> Dear Rose,
>  
> no attached file came with the message.
>  
> bests
> milton

I try once more to attache the file. I hope that 89 KB is not to large
for the mailing list.


> On Mon, Jun 8, 2009 at 12:20 PM, Juergen Rose <rose at rz.uni-potsdam.de>
> wrote:
>         Hello,
>         
>         In the attached file training.csv (I apologize for the large
>         file) I
>         have 238 objects belonging to 13 classes, which are described
>         by 183
>         properties. I would like to find a svm model for these
>         objects.
>         
>         I tried the following R statements.
>         
>         library('e1071')
>         datatraining <- read.csv("training.csv",head=TRUE)
>         
>         names<-names(datatraining)
>         print("before print(names)");                 print(names)
>         # There are 186 names, respectively 184 properties P3, P4 ...
>         P1549
>         
>         data <- subset(datatraining,select=c(-dataname_gen_spec,-Gen))
>         classes <- subset(datatraining,select=Gen)
>         #  There are 13 classes
>         
>         model <-
>         svm(data,classes,type='C-classification',kernel='linear')
>         print(sprintf("There are %d support vectors",model$tot.nSV));
>         #  There are 176 support vectors
>         
>         print("before summary(model)");              summary(model)
>         $index);
>         print("before print(model$index)");          print(model
>         $index);
>         
>         
>         I expect that the index values are between 1 and 184, because
>         there are
>         84 properties, but I get several indices larger than 200.
>          What did I
>         misunderstood?
>         
>         Any hint is very appreciated.
>         
>         Regards Juergen
>         
>         
>         
>         
>         ______________________________________________
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>         
> 


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