Dear All,
I'm new to the list and relatively new to R (but not so to S-Plus) and I?ve
been asked to help study some experimental data.
In a factorial experiment (5 factors at 2 levels) the response-variable was
measured at various times (0, 2, 5, 7, ..., 30 days after start). There's
just
one run for each factor combination! I intend to use the nlme library of
Pinheiro and Bates in a longitudinal data situation but I have some
difficulties with the "statistical scenario" of it all!
The factors are not nested and the number of repeated measures is unbalanced
(in some cases they were abandoned for some reason before the end of the
experiment). The main objectives are to identify the factor(s) that influence
the response and to model it.
How should I dissecate this? If in need of more info, just ask!
Thanks. Best regards, Eduardo Esteves
