I see that index is giving me the group for the classification problem. But my problem is not the same. I had a sample X<-rnorm(1000) for example.
I don't want to make classification (i have only one group in fact) but i want to estimate the density which generates my sample (like i can do with others methods like kernel density estimation, wavelets estimations, splines ...). So, logically, i hope i will find an approximation of the Gaussian density. But i don't see how i can obtain this density estimation with the function svm. Thanks David Winsemius wrote: > > > On May 5, 2009, at 3:49 AM, excalibur wrote: > >> >> In the R-help of the svm function of the package e1071 it's >> explained that >> this function also makes estimation of density. >> >> But when i made for example >> X<-rnorm(1000) >> m<-svm(X) >> >> I just have a binary classification of X like SVM do whereas i want an >> estimation of the density which generates our sample X ... >> >> I don't know if it's possible and if someone has already use this >> function >> to do that. > > Use str() to look at the object returned by svm. The example in svm's > help page uses the svm object's "index" variable although there are > other components that are available for extraction. The "fitted" > vector looks to have similar binary properties to "index" and the "SV" > vector appears to be a distance measure. > > -- > David > >> >> >> Thanks. >> >> >> David Winsemius wrote: >>> >>> >>> On May 4, 2009, at 8:52 AM, excalibur wrote: >>> >>>> >>>> This question is still unanswered. >>> >>> Unanswered questions are often those which do not comply with the >>> guidelines in the Posting Guide. Many people have gotten tired of >>> either making up examples or of writing "Read the Posting Guide", so >>> they just ignore them. >>> >>> >>>> Someone can explain me how use the svm function to make density >>>> estimation ? >>> >>> If you post an executable bit of code that shows how you are doing >>> those operations, then I suspect someone will answer. >>> >>> excalibur wrote: >>>> >>>>> >>>>> Hi, >>>>> i try to use function svm of package e1071 to estimate a density. >>>>> >>>>> But if my data are X=(X1,...,Xn) and m<-svm(X) some values of m$SV >>>>> are >>>>> less than 0. >>>>> I don't see how i can get the estimation of the density with this >>>>> function. >>>>> >>>>> Thanks for your help. >>>>> >>>>> Rémi >>>>> >>> >>> David Winsemius, MD >>> Heritage Laboratories >>> West Hartford, CT >>> >>> ______________________________________________ >>> 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. >>> >>> >> >> -- >> View this message in context: >> http://www.nabble.com/Support-Vector-Machines-tp19069442p23382683.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. > > David Winsemius, MD > Heritage Laboratories > West Hartford, CT > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/Support-Vector-Machines-tp19069442p23386300.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.
