This is a statistical question, and is off topic for this list, which is about R programming. Post to a statistical list, like stats.stackexchange.com, instead.
Warning: This is not a simple issue. You should seriously consider getting local advice from someone with the necessary statistical expertise. Gratuitous Question born from personal frustration with such queries(so feel free to ignore): Why are you using (statistical) procedures that you do not understand? Of course the parameters for different treatments are "different"! -- but how and with what importance depends on the context in which you are working. Instead of fooling with cryptic statistical mumbo jumbo that invite misuse -- and which are probably valueless or idiotic anyway -- why don't you make some graphs and consider what they say in terms of the substantive issues at play? (Of course I know the answer -- it is because that is what your academic culture/journals demand. But therein lies the problem: what is demanded is junk). Cheers, Bert Bert Gunter "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll On Tue, Aug 25, 2015 at 3:34 PM, Jianling Fan <fanjianl...@gmail.com> wrote: > Hello everyone, > > I am doing nonlinear regression using a same sigmoidal model for > different treatments. for each treatment, I got a set of estimated > parameters (a1, b1, c1 for treatment 1; a2, b2, c2 for treatment 2; > a3, b3, c3 for treatment 3). And I want to compare these parameters > for different treatments to see is there any differences? does > estimated parameter for treatment i different from other treatments? > > How can I do this analysis please? > > Thanks in advance! > > Regards, > > Julian > > ______________________________________________ > 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. ______________________________________________ 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.
