People who speak only English and Hebrew (like myself), can't help you. Consider reposting in English.
Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Wed, Aug 4, 2010 at 12:46 AM, aline uwimana <rwan...@gmail.com> wrote: > # Classification Tree with rpart > library(rpart) > > # grow tree > fit <- rpart(y~ x1 + x2+ x3 + x4+ x5,method="class", data=data) > > > printcp(fit) # display the results > plotcp(fit) # visualize cross-validation results > summary(fit) # detailed summary of splits > > # plot tree > plot(fit, uniform=TRUE,main="Classification Tree for data") > text(fit, use.n=TRUE, all=TRUE, cex=.8) > > # create attractive postscript plot of tree > post(fit, file = "c:/tree.ps",title = "Classification Tree for data") > > > > plotcp(fit) > Erreur dans plotcp(fit) : > 'cptable' ne contients aucuns résultats de validation croisée > > > summary(fit) > Call: > rpart(formula = y~ x1 + x2 + x3 +x4 +x5, > data = data, method = "class") > n=2091 (631 observations deleted due to missingness) > > CP nsplit rel error > 1 0 0 1 > Erreur dans yval[, 1] : nombre de dimensions incorrect > > > ->> Someone can help to solve this problem. > Thanx > > [[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. > > [[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.
