Dieter Menne wrote: > Rainer M Krug wrote: >>> I have (8 measures * 96 groups) = 768 datasets for which I did linear >>> regressions using lm().
Sorry for my (probably incorrect) usage of "group" and "measure". Here a (probably better) description of my design: I ran 96 different simulations (spread of a species along a transect) over four generations, based on different parameter sets. These resulted in 96 results (groups). Now I have 8 different ways to describe the result of one simulation based on x individuals further away then distance d, where x is replaced by 1, 5, 10, 50, 100, 500, 1000 and 5000 (measures). For each group / simulation, I did linear regressions for each measure > lm.measure_1 <- lm(distance ~ generation) ... resulting in lm.measure_1 to lm.measure_8 Within each group (based on one simulation), I get a different slope for each measure. What I want to know is if these resulting slopes differ within one group / simulation. >>> >>> Now I want to compare the slopes for each of the 8 measures in each of >>> the 96 groups. As I understand , I can not use >>>> anova(lm1, ..., lm8) >>> as the lm1 ... lm8 are based on different datasets. >>> > > Instead of doing this in two steps, you would better use lme in package nlme > to > test the hypothesis in one run. I don't understand the details of you design, > but is looks like the oxboys example in Pinheiro/Bates (the book of nlme) > could > give you a first starter. > > Dieter > > ______________________________________________ > R-help@stat.math.ethz.ch 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. -- Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Department of Conservation Ecology and Entomology University of Stellenbosch Matieland 7602 South Africa Tel: +27 - (0)72 808 2975 (w) Fax: +27 - (0)21 808 3304 Cell: +27 - (0)83 9479 042 email: [EMAIL PROTECTED] [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch 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.