polynomial contrasts with the scores argument should do what you want. ?contr.poly
As an example: contr.poly(4, c(1,2,4,8)) diff(contr.poly(4, c(1,2,4,8))[,1]) On Wed, Feb 2, 2011 at 2:40 PM, Asan Ramzan <asanram...@yahoo.com> wrote: > Hello [R]-help > > I am trying to find > > a package where you can do ANOVA based trend analysis on grouped data > > using orthogonal polynomial contrasts coefficients, for unequally > > spaced factor levels. The closest hit I've had is from this web site: > >( > http://webcache.googleusercontent.com/search?q=cache:xN4K_KGuYGcJ:www.datavis.ca/sasmac/orpoly.html+Orthogonal+polynomial > >l > > but I cannot find this package or anything like it. > > > > [[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<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[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.
