My small brain is having trouble getting to grips with lme() I wonder if anyone can help me correctly set the random = argument to lme() for this kind of setup with (I think) 9 variance/covariance components ...
Study.1 Study.2 ... Study.10 Treatment.A: subject: 1 2 3 4 5 6 etc. 28 29 30 Treatment.B: subject: 31 32 33 34 35 36 58 59 60 A variable is measured at 2 fixed sites (A and B) on each subject so we have fixed effects :- between-Treatments between-sites (A and B) Treatment*site interaction and we have random effects :- study effects at site A study effects at site B correlation between site A and site B study effects study*treatment interaction effects at site A study*treatment interaction effects at site B correlation between site A and B study*treatment interaction effects residual (between-subject) effects at site A residual (between-subject) effects at site B correlation between site A and B residuals (between-subject) effects My problem is formulating the random = argument to give estimates of all 9 random components ... Hope someone can help ... Robert Kinley Study: Pos tissue VC, Neg tissue VC, Pos/Neg tissue correlation Study*Group: Pos tissue VC, Neg tissue VC, Pos/Neg tissue correlation Residual (animal): Pos tissue VC, Neg tissue VC, Pos/Neg tissue correlation [[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.