On 11/23/2009 1:06 AM, ashok varma wrote: > hello, > > i am fitting a Linear model using R. I have to fit the model considering all > the interaction effects of order 1 of the independent variables. But I have > 9 variables. So, it will be difficult for me to write all the 36 > combinations in the model. Can anyone please help how to get this done in > much smarter way??
This will include all main effects and two-way interactions: lm(Y ~ (A + B + C + D + E + F + G + H + I)^2, data=mydata) > thanks a lot, > Ashok Varma. > > [[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. -- Chuck Cleland, Ph.D. NDRI, Inc. (www.ndri.org) 71 West 23rd Street, 8th floor New York, NY 10010 tel: (212) 845-4495 (Tu, Th) tel: (732) 512-0171 (M, W, F) fax: (917) 438-0894 ______________________________________________ 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.