Put them in a list: ModelList <- vector("list", 100) .... ModelList[[i]] <- mod.step <- step(mod, direction="both",trace=T)
Then come back and use sapply() to do whatever you want to the set of models to compare/count/etc them Michael On Wed, Nov 30, 2011 at 6:12 AM, Schrabauke <bern...@yahoo.de> wrote: > Hi volks, > > i have a question about the step() fkt. Is there a possibility to save the > last model generated from this method. I have a loop and so i generate 100 > different models with the step fkt and i want to know which model is the > most common. > > CODE: > ... > missStep -> numeric(100) > for (j in 1:100) { > trainindex <- sample(c(1:462),300) > train <- data[trainindex,] > test <- data[-trainindex,] > mod.step <- step(mod, direction="both",trace=T) > } > ... > > So i want to store each iteration the best model. > Thx in advanced people, > greetings > > > -- > View this message in context: > http://r.789695.n4.nabble.com/glm-step-fkt-tp4122588p4122588.html > Sent from the R help mailing list archive at Nabble.com. > [[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. > ______________________________________________ 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.