Well, this just shows how much you don't understand. There is A LOT under the hood here, extending back to work in the 70's (Wilkinson and Rogers (1973) "Symbolic description of factorial models for analysis of variance" ) and probably before. See also McCullagh and Nelder's "Generalized Linear Models" book (Chapter 3 probably) and the linear models chapter of MASS.
Bottom line: You are almost certainly way beyond your depth here, as most of us would be. The experts aren't dopes -- they earned their expertise. Cheers, Bert On Mon, Oct 31, 2011 at 9:00 AM, flokke <flo...@live.de> wrote: > I know the lm() function, but I'd like to make my 'own' regression analysis > by using matrix algebra. > Thats why I wrote the function, > but I dont know what values to pick to make it suitable for every dataset. > > If I pick a statistical model like lm(y~x) as input, the function would not > know what objects it had to use > for the matrix algebra. > > -- > View this message in context: > http://r.789695.n4.nabble.com/Function-input-for-regression-analysis-tp3955611p3956240.html > Sent from the R help mailing list archive at Nabble.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. > -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm [[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.
