Sorry I was not clearer, but I was asking an R programming question not a theory question. I will try to clarify. If I did this analysis with a dataset involving just one subject the summary command on the lm object would give me a significance test on each parameter fit. The question in this cSe, is the cubic parameter significant? When I try to do this for each subject separately in a larger dataset using the by command, I get the parameter estimate but can't find a significance test. I apologize again for my poor explanation originally,
> On Jan 24, 2015, at 10:04 PM, Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: > > R-square is often a poor indicator of whether a model is appropriate or not. > While it is possible that there exists a package that implements your > algorithm (which you might find using the sos package), I would recommend > that you get some advice from an expert on how to approach this subject, and > this list is not a good place for studying statistics theory (read the > Posting Guide). You might try stats.stackexchange. com. > --------------------------------------------------------------------------- > Jeff Newmiller The ..... ..... Go Live... > DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... > Live: OO#.. Dead: OO#.. Playing > Research Engineer (Solar/Batteries O.O#. #.O#. with > /Software/Embedded Controllers) .OO#. .OO#. rocks...1 > --------------------------------------------------------------------------- > Sent from my phone. Please excuse my brevity. >> . > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
