Dear all, I am a R user since about 3 weeks now and still struggeling with things that must be very easy for you... This week I am struggling with the function predict()
I want to use this function to get a 95% interval. I understand that you have to use it in such a way as: lm_examplemodel<- lm(y~x1 + x2 + x3) newdata <- data.frame(x1 = ???, x2 = ???, x3 = ???) predict(lm_examplemodel, newdata, interval = 'confidence') And here comes my questions. As you maybe already have guessed its about the questions marks/ the values for the new data frame you have to use. I read in help(predict.lm) that you have to use a new data frame to be able to use the predict function, but I dont know what values I have to assign to x1 and x2 ... to create the new data set. In the help function it says that you can use the fitted values, but when I use the function: fitted(lm_examplemodel) or fitted.values(lm_examplemodel) I get many many columns. I think that the function gives a fitted value for every Yi and Xi. SO how do I get those values? Do i have to use another function than fitted? Or not the fitted values at all? Thanks already so much! Cheers,maria -- View this message in context: http://r.789695.n4.nabble.com/Using-predicted-in-R-tp3934150p3934150.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.
