On Jul 26, 2012, at 09:07 , Rolf Turner wrote: > > Homework? Ask your prof.
Not necessarily, Rolf. Project work perhaps, but could also be completely extracurricular (knows theory and textbook notation, now has a real data set). I think a few hints could be in order: (a) Figure out how to find the SSE and the MSE in _any_ linear model. Use a textbook example and match things up with the R notation (hint: lm(), anova(), summary()). (b) Figure out how to specify the two models that you want to compare (hint: y~x+I(x^2)). Again, look for a similar textbook example and compare. (c) Done. You can however go a little further and get R to compare the two models directly (revisit the help for anova()). -pd > cheers, > > Rolf Turner > > On 26/07/12 11:48, stuco wrote: >> Hey, I'm an R noobie and I have been trying calculate SSEr and SSEc in order >> to determine if there is sufficient evidence to include second-order terms >> in my model, but I have no idea what command to use. Any help with this >> would be much appreciated. > > ______________________________________________ > 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. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@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.