Re: [R] Regarding SVM using R

2009-09-08 Thread Steve Lianoglou
Hi, On Sep 8, 2009, at 9:56 AM, Abbas R. Ali wrote: my dimentions of trining set dim(trainingset) = 7 x 96 and dim (validation) = 3 x 96 other thing if i want to predicit trainingset accuracy it is also giviing me same error. Now its no issue of dimentions from my side. 1. Please keep rep

Re: [R] Regarding SVM using R

2009-09-08 Thread Steve Lianoglou
Hi, On Sep 8, 2009, at 9:28 AM, Abbas R. Ali wrote: by using predict(model.ksvm, validationset, ...) I am facing following error: "Error: '...' used in an incorrect context" No. I didn't mean to explicitly use "...", sorry. Actually, I had a two line fix here, but I'm looking back at your

Re: [R] Regarding SVM using R

2009-09-08 Thread Abbas R. Ali
by using predict(model.ksvm, validationset, ...) I am facing following error:   "Error: '...' used in an incorrect context"   And I want to use regression in SVM what can I do for it. Thanks   Abbas   --- On Tue, 9/8/09, Abbas R. Ali wrote: From: Abbas R. Ali Subjec

Re: [R] Regarding SVM using R

2009-09-08 Thread Steve Lianoglou
Hi, On Sep 8, 2009, at 9:09 AM, Abbas R. Ali wrote: Hi Steve I am facing a little problem in predict function which is I think mismatch of dimension. Infacted area is covered by ***. svm = function() { library(RODBC) # load RODBC library for database access channel = odbcConnect("dem

[R] Regarding SVM using R

2009-09-08 Thread Abbas R. Ali
Hi Steve   I am facing a little problem in predict function which is I think mismatch of dimension. Infacted area is covered by ***.   svm = function() {  library(RODBC) # load RODBC library for database access  channel = odbcConnect("demo_dsn", "sa", "1234")  # connecting to the databas

Re: [R] Regarding SVM using R

2009-09-05 Thread Steve Lianoglou
Hi Abbas, Before I try to give you answers, I just want to mention that you should send R related reqests to the R-help list, and not me personally because (i) there's a greater likelihood that it will get answered in a timely manner, and (ii) people who might have a similar problem down the road