What about using x[,-predictor]. For instance: x <- matrix(1:9, nrow=3) x[,-2] # all but the second column
Perhaps using your code it would be something like... lm=lm(x[,dim(x)[2]] ~ x[,-dim(x)[2]], data=x) Best regards, Josh On Tue, Apr 20, 2010 at 3:12 PM, Walter Yund IV <wyun...@gmail.com> wrote: > Hello, > > I am trying to automate linear regression for many different datasets, each > with the same rough format (the last variable is the response). I've been > doing something like this: > > lm=lm(x[,dim(x)[2]] ~ ., data=x) > > where the dot denotes all variables. However, this means that the response > is included as a predictor, which is obviously what I don't want. How do I > request that all the columns in my dataset be used as predictors, except for > the response? > > Thanks, > > Walter > > [[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. > -- Joshua Wiley Senior in Psychology University of California, Riverside http://www.joshuawiley.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.
