Hi, On Fri, Jul 9, 2010 at 12:15 PM, manuel.martin <manuel.mar...@orleans.inra.fr> wrote: > Dear all, > > after having calibrated a svm model through the svm() command of the e1071 > package, is there a way to > i) represent the modeled relationships between the y and X variables > (response variable vs. predictors)?
Can you explain a bit more ... how do you want them represented? > ii) rank the influence of the predictors used in the model? One technique that's often/sometimes used is to calculate the SVM's W vector by using the support vectors along with their learned weights/alphas. This comes up every now and again. Here's an older post explaining how you might do that with the svm model from e1071: http://article.gmane.org/gmane.comp.lang.r.general/158272/match=w+b+vector+svr Hope that helps. -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ______________________________________________ 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.
