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...DG PROBLEM EXAMPLE I consider the latin squares example described at page 157 of the book: Statistics for Experimenters: Design, Innovation, and Discovery by George E. P. Box, J. Stuart Hunter, William G. Hunter. This example use the data-file /BHH2-Data/tab0408.dat from ftp://ftp.wiley.com/ in /sci_tech_med/statistics_experimenters/BHH2-Data.zip. The file tab0408.dat contains following DATA: > DATA driver cars additive y 1 1 1 A 19 2 2 1 D 23 3 3 1 B 15 4 4 1 C 19 5 1 2 B 24 6 2 2 C 24 7 3...

...I consider the 2^3 factorial experiment described at page 177 of the book Statistics for Experimenters: Design, Innovation, and Discovery by George E. P. Box, J. Stuart Hunter, William G. Hunter (BHH2). This example use the following data in file BHH2-Data/tab0502.dat at ftp://ftp.wiley.com/ in /sci_tech_med/statistics_experimenters/BHH2-Data.zip run T C K y 1 1 -1 -1 -1 60 2 2 1 -1 -1 72 3 3 -1 1 -1 54 4 4 1 1 -1 68 5 5 -1 -1 1 52 6 6 1 -1 1 83 7 7 -1 1 1 45 8 8 1 1 1 80 Using these data and the R BHH2 package, I was not able to reproduce the very simple results in...

...ueeze. I think the discussion below can be followed without having the book at hand though. I'm working with tables 5.2 and 5.5 in the above mentioned book. Table 5.2 contains data from the "Leaf spring experiment". The dataset is also in this zip file: ftp://ftp.wiley.com/public/sci_tech_med/experiments-planning/data%20sets.zip I've learned from the book that the effects can be found using a linear model and double the coefficients. So, I do > leaf <- read.table("/ifi/bifrost/a03/kjekje/fag/experimental-planning/book-datasets/LeafSpring table 5.2.dat", col.name...