Found it depends on what you put in in slice, since you have to define at what constant the other variables should be held.
sl<-list(V3=17,V4=14,V5=4,V6=0.5,V7=26,V8=10,V9=15,V10=0,V11=0.4,V12=0.3,V13=1.2,V14=2.3,V15=4.2,V16=5.2,V17=5.1,V18=4.3,V19=3.35) > plot(model,data,V1~V2,slice=sl) For example will let you view a bit of that separating plane. I'm not getting creative on how to find the best values there though.. On 27.07.2012, at 10:21, Jessica Streicher wrote: > Now i'm scratching my head as well, thought it might have to do with scaling > at first, so i turned it off, and also tried scaling the data for the plot > instead, but to no avail, it just switches the color, but doesn't show the > correct contours. > > And it is at least predicting the stuff right, so its doesn't seem to be a > problem with the model. > > On 26.07.2012, at 15:00, Meffy wrote: > >> Ok, here a simple example. The file >> http://r.789695.n4.nabble.com/file/n4637924/test.csv test.csv has 400 lines >> containing 20 columns (1. column is class label, the other 19 are the >> features). >> So what I'm doing is >> / >> data <- read.csv(file="test.csv", head=F, sep=",") >> >> names(data) <- c("Class","V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", >> "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19") >> >> model <- svm(as.factor(Class)~., data=data, kernel="linear") >> / >> >> This gives me the result >> >> / >> Parameters: >> SVM-Type: C-classification >> SVM-Kernel: linear >> cost: 1 >> gamma: 0.05263158 >> >> Number of Support Vectors: 5 >> / >> When plotting this with >> >> / >> plot(model, data, V2~V1) >> / >> >> I'm getting >> http://r.789695.n4.nabble.com/file/n4637924/svm_result.png >> Where am I wrong here?? >> >> >> >> >> >> -- >> View this message in context: >> http://r.789695.n4.nabble.com/Only-one-class-shown-in-SVM-plot-tp4637782p4637924.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
