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

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