Displaying 1 result from an estimated 1 matches for "cubeplot".
2010 Jun 24
1
BBH2 and FrF2 packages
...he R BHH2 package, I was not able to reproduce the very simple results in the BHH2 book.
In particular, the following solution will have no meaning since K is categorical:
( plan <- lm(y ~ (T+C+K)^2, data = DATA) )
MEPlot(plan) # Main Effects
IAPlot(plan) # Interactions Effects
DanielPlot(plan)
cubePlot(plan, "T", "C", "K")
I decided to rebuilt the data using:
plan <- FrF2(8, 3, factor.names=c("T","C","K"), default.level=c("-","+"), randomize = FALSE)
( plan <- add.response(plan, y) )
giving:
T C K y
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