Hi everyone, I need some help to write the right model to analyze data from a strip-plot design replicated over time. These are the variables: A: 3 level factor as row treatment, B: 3 level factor as column treatment, C: 2 blocks Y: continuous response variable. Data have been observed once a year for 17 years, together with some meteorological variables. Time can be considered from two different point of views: as a count variable (1:17) to model the eventual additive effect over time, but also as a random factor to take into account the effect of different meteorological conditions. Therefore I have these variables too: Year: count variable in the range 1:17, W: a countinuous variable which summarizes weather condition. And this is the model I have considered: lmer(y~Year*A*B-1+(1|as.factor(Year))+(0+W|C:A)+(0+W|C:B), data=stripplot). Is it the right one? Thanks in advance for the help, Antonella
Prof. Antonella Plaia DSSM - University of Palermo viale delle scienze ed. 13 90128 Palermo - Italy Tel. +39 091 6626244 - Fax +39 091 485726 http://dssm.unipa.it/plaia ------------------------------------------------------------------------- This message was sent using the University of Palermo web mail interface.