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]]
______________________________________________
[email protected] 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.
