search for: coob

...lo List, I`m trying to make prediction using a bagged tree with the package ipred. I tried to follow the manual but I`m getting an error message. Also browsing through the list-archive I didn`t find any hint. Maybe someone can help me? selbag <- bagging(SOIL_UNIT ~., data=traindat.bin, coob=TRUE) Error in dimnames(X) <- list(dn[[1L]], unlist(collabs, use.names = FALSE)) : length of 'dimnames' [2] not equal to array extent I´m using R 2.7.2 on Win XP and the latest version of ipred. Thanks a lot. TIM ---------------------------------------------------------...

...0, !is.na(profits)) datasize=length(Forbes2000$profits) f <- rpart(profits ~ assets + marketvalue + sales, data=Forbes2000) fb <- bagging(profits ~ assets + marketvalue + sales, data=Forbes2000) fb <- bagging(profits ~ assets + marketvalue + sales, data=Forbes2000, nbagg=100,coob=TRUE) fb <- bagging(profits ~ assets + marketvalue + sales, data=Forbes2000, nbagg=100,coob=TRUE, ns=round(.9*datasize)) -- View this message in context: http://www.nabble.com/ipred-bagging-segfault-on-64-bit-linux-build-tp25407509p25407509.html Sent from the R help mailing list...

...possible in bagging? I know that weights are not possible in regression under randomforests. #this works r1w <- rpart(how_many ~ covariates, data=ttv.data.sk, weights, method="poisson") #this works b1 <- bagging(how_many ~ covariates, data=ttv.data.sk, method="poisson", coob=T, nbagg=30) #this fails b1w <- bagging(how_many ~ covariates, data=ttv.data.sk, weights, method="poisson", coob=T, nbagg=30) thanks in advance Simon ____________________________________________________________ Sign-up for Bird Atlas 2007-11 at www.birdatlas.net ____________________...

Hi, I would like estimate a model for function of production's Coob-Douglas using maximum likelihood. The model is log(Y)= beta[1]+beta[2]*log(L)+beta[3]*log(K). I tried estimate this model using the tools nlm ( ) and optim ( ) using the log-likelihood function below: > mloglik <- function (beta, Y, L, K) { + n <- length(Y) + sum ( (log(Y)- beta[1]-bet...

Hello, can me please help anbody how it is possible unlist a "rpart.object.list" i.e. from bagging(ipred) to plot this "unique" several rpart.objects . ..i make attempts with unlist, get really atomic elements, but need only the different tree's ! Thanks for advance & regards,Christian -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

...data(BreastCancer) >> >> mod <- bagging(Class ~ Cl.thickness + Cell.size > + + Cell.shape + Marg.adhesion > + + Epith.c.size + Bare.nuclei > + + Bl.cromatin + Normal.nucleoli > + + Mitoses, data=BreastCancer, coob=TRUE) >> >> environment(mod$mtrees[[1]]$btree$terms) > <environment: 024E8138> >> >> parent.env(environment(mod$mtrees[[1]]$btree$terms)) > <environment: namespace:ipred> parent.env is a very confusing name. To quote the draft R language definition: `...

...loaded ipred): > data(BreastCancer) > > mod <- bagging(Class ~ Cl.thickness + Cell.size + + Cell.shape + Marg.adhesion + + Epith.c.size + Bare.nuclei + + Bl.cromatin + Normal.nucleoli + + Mitoses, data=BreastCancer, coob=TRUE) > > environment(mod$mtrees[[1]]$btree$terms) <environment: 024E8138> > > parent.env(environment(mod$mtrees[[1]]$btree$terms)) <environment: namespace:ipred> This occurs because the terms object is taken from the model frame which was evaluated within the environment o...

...loaded ipred): > data(BreastCancer) > > mod <- bagging(Class ~ Cl.thickness + Cell.size + + Cell.shape + Marg.adhesion + + Epith.c.size + Bare.nuclei + + Bl.cromatin + Normal.nucleoli + + Mitoses, data=BreastCancer, coob=TRUE) > > environment(mod$mtrees[[1]]$btree$terms) <environment: 024E8138> > > parent.env(environment(mod$mtrees[[1]]$btree$terms)) <environment: namespace:ipred> This occurs because the terms object is taken from the model frame which was evaluated within the environment o...