All I have been looking into the books on performing statistics in R, in particular I am interested in General Linear Mixed Models, for Randomized Complete Block Design Experiments
The list I have come away with so far is: Mixed Effects Models in S and S-plus by Pinheiro (2002) http://www.amazon.com/Mixed-Effects-Models-S-S-Plus/dp/0387989579/ref=wl_itt_dp_o?ie=UTF8&coliid=I1WXOBRXMHD30V&colid=38N475HUK5VPJ Linear Models with R by Faraway (2004) http://www.amazon.com/Linear-Models-Texts-Statistical-Science/dp/1584884258/ref=sr_1_1?ie=UTF8&s=books&qid=1254412763&sr=1-1 Extending the Linear Model with R by Faraway (2005) http://www.amazon.com/Extending-Linear-Model-Generalized-Nonparametric/dp/158488424X/ref=pd_sim_b_7 Which of these would you as statisticians, researchers, scientists most recommend? Are there others in this realm of statistics that I have not discovered, that might be more effective? Thanks Pat -- Patrick Schmitz Graduate Student Plant Biology 1206 West Gregory Drive RM 1500 [[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.
