search for: replicate1

...uts what I would expect: > str(data.ex2) 'data.frame': 12 obs. of 4 variables: $ Year : Factor w/ 3 levels "1999","2000",..: 1 1 1 1 2 2 2 2 3 3 ... $ Depth : Factor w/ 4 levels "10","15","20",..: 1 2 3 4 1 2 3 4 1 2 ... $ Replicate1: num 14.3 15.1 16.7 17.3 16.3 17.4 18.6 20.9 22.9 23.9 ... $ Replicate2: num 14.7 15.6 16.9 17.9 16.4 17.2 19.6 21.3 22.7 23.3 ... But something is not causing my anova to carry through...this is what I have. ANOVA = aov(Replicate1~Year*Depth,data=data.ex2) summary(ANOVA) which outputs: >...

...cate) I do not expand here into model simplification nor if it is best to use lme or lmer, YET... but here are more conceptual questions 1) my replicates & subreplicates are paired in the sense that they come from the same split of the data. As an example for species X, the 20 observations of replicate1 of model A and B (10 for A and 10 for B) are linked by a same data split which is likely to influence my accuracy measure. In the same way the 2 observations replicate1_subreplicate2 of model A and B (1 for A and 1 for B) are also linked. Is there a way to introduce such pairing in a mixed effect m...

I have to perform ANOVA's on many different data organized in a dataframe. I can run an ANOVA for each sample, but I've got hundreds of data and I would like to avoid manually carrying out each test. in addition, I would like to have the results organized in a simple way, for example in a table, wich could be easy to export. thank you for assistance simone