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.
