With all due respect, these appear to be statistics issues not R issues. I suggest that they be taken off list and perhaps continued on stackexchange or some other statistics forum if not privately.
-- Bert On Mon, Jan 23, 2012 at 8:38 AM, B77S <bps0...@auburn.edu> wrote: > I know this isn't what you are asking, but have you considered examining the > relationship between dA and the community density excluding dA? > > > JulieV wrote >> >> Hi Josh, >> >> Thanks for your response ! >> >> Actually, I already tried to plot it with a "classical" regression and I >> know the relation is linear: >> >> dA = 0.765 * dCOM - 0.089 >> p(slope) < 0.0001 >> p(intercept) = 0.0003 >> >> The fact is that I can not use these results as my variables dA and dCOM >> are correlated (as mentioned above, Eq.1). What I need to find out is >> which correction I should do on my data, and how, to be able to calculte >> the regression p-values correctly with Linear Mixed Models. >> >> I am interested in this because I know that my species decline at >> different rates when my community is declining. >> For example, with decreasing values of dCOM, dA reaches 0 before dB. >> >> >> Julie >> > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Calculating-plotting-a-linear-regression-between-two-correlated-variables-tp4319051p4321222.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 ______________________________________________ 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.
