> Gabor Grothendieck wrote >> On Fri, Mar 1, 2013 at 7:16 PM, Frank Harrell < > >> f.harrell@ > >> > wrote: >>> The lattice package uses special logic to allow for multiple >>> left-hand-side >>> variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to do >>> this outside of lattice? I'm trying to implement a data summarization >>> function that logically takes multiple dependent variables. The usual >>> invocation of model.frame( ) causes R to try to do arithmetic addition to >>> create a single dependent variable. >>> >> >> Try: >> >> lm( cbind(Sepal.Length, Sepal.Width) ~., iris) >>
On Fri, Mar 1, 2013 at 8:02 PM, Frank Harrell <f.harr...@vanderbilt.edu> wrote: > Thanks for your reply Gabor. That doesn't handle a mixture of factor and > numeric variables on the left hand side. > Frank > It can handle 2 level factors lm(cbind(Sepal.Length, setosa = Species == "setosa") ~ ., iris) and more with some manual effort: lm(cbind(virginica = Species == "virginica", setosa = Species == "setosa") ~ ., iris) Typically you don't see more than that as a dependent variable. Do you actually need more? -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.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.