All, I have been learning about mixed models and have been able to successfully use lme( ) and nlme( ) to fit some simple linear and 4PL logistic models. As a relative "newbie" I am at a loss as to how I can do the following:
(1) Import a SAS dataset with DATE9. formatted time values and get them converted into a convenient time variable for use with the nlme package. In particular, I would like to use the lattice package to produce panel plots for diagnostic and exploratory purposes. (2) Plot the fitted model(s) along with appropriate 95% confidence bounds for the model (3) Obtain prediction intervals for given individuals in the datasets. Sorry for what must be trivial questions! I very much appreciate any insight. Thanks, Greg ______________________________________________ [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