search for: phenobarb

library(nlme) data(Phenobarb) na.include <- function(x)x phe1 <- nlme(conc~phenoModel(Subject, time, dose, lCl, lV), data = Phenobarb, fixed = lCl+lV~1, random= pdDiag(lCl+lV~1), start = c(-5,0), na.action = na.include, naPattern = ~!is.na(conc)) phe.ranef <- ranef(phe1,augFrame=TRUE) p...

...data with a total of 100 subjects studied at one dose level and rich sampling scheme. (I can send the dataset, if required. I had some unsuccessful attempts to send by default). If it was a problem with parameterization of the model , I don't understand how come sparse sampling in generic "Phenobarb" data does not have a problem in R or S. BTW, the exact same code for "Phenobarb" runs in R and S-Plus w/o any modification needed. Thank you in anticipation. Pravin Pravin Jadhav [[alternative HTML version deleted]]

Hi, There is a double "the" in x11.Rd: "...which is faster will depend on the the X11 connection" Thank you, Stephen -- Rochester, Minn. USA

I'm looking at Pinheiro & Bates "Mixed-Effects Models in S and S-PLUS" at the moment. Several datasets are used, one of which is called "PBIB" (a partially balanced incomplete block design). All the other datasets can be found somewhere or other in R. However, I cannot locate PBIB, and it does not seem to be mentioned in the latest edition of the R Full Reference