Dear Rsociety, I'd like to kingly ask to anyone is willing to answer me how to implement a NON NESTED random effects structure in lme()
In particular I've tried the following translation from lmer to lme, as suggested from some web example mod1<-lmer(y~x*z+(x*z|factorA1/factorB)+(x*z|factorA2/factorB)) # y,x,z continuous mod2<-lme(y~x*z, random= pdBlocked(list(pdIdent(~1|factorA1/factorB ),pdIdent(~1|factorA2/factorB)))) In detail check how I've tried to state in mod1 that Iwant to evaluate randomness in the interaction x*z (i.e intercept, slope, interaction) grouped by by a general nesting structure that sets factorA1 and factorA2 as same level effects (hence non nested) and factorB as nested in both. I also must express my momentaneous sheer ignorange on the pdMat objects, thing that prabably is not helping me in the process Kindly Regards Federico Bonofiglio -- *Little u can do against ignorance,....it will always disarm u: is the 2nd principle of thermodinamics made manifest, ...entropy in expansion.**....But setting order is the real quest 4 truth, ......and the mission of a (temporally) wise dude. * [[alternative HTML version deleted]] ______________________________________________ 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.