Description Usage Arguments Examples
A function to determine which coefficients can be estimated by a partial factorial design.
1 | get.estimable.coefficients(full.design, frac.design)
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full.design |
(required) |
frac.design |
(required) |
1 2 3 4 5 | library(AlgDesign)
my.exp.design <- list( Shape=c("Rectangle", "Square"), Color=c("Blue", "Red", "Yellow"), DiscountPct=c("10", "20", "30"))
my.full.design <- expand.grid(my.exp.design) #gen.factorial(my.exp.design, factors="all")
my.frac.design <- optFederov(data=my.full.design, nTrials=6) # 6 is minumum so main effects only
get.estimable.coefficients(my.full.design, my.frac.design)
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