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## Asymmetrical (mixed) factorial design
## cf Planor Manual, Example 2 page 12
library("planor")
# Four treatment factors at 6, 6, 4, 2 levels and one 6-level block factor
# Model: block+(A+B+C+D)^2 ; Estimate: A+B+C+D\n")
# N = 144 = 2^4 x 3^2 experimental units
mixKey <- planor.designkey(factors=c( LETTERS[1:4], "block"),
nlevels=c(6,6,4,2,6),
block=~block,
model=~block+(A+B+C+D)^2,
estimate=~A+B+C+D,
nunits=144,
base=~A+B+D, max.sol=2)
## Tests on the listofkeyrings class
summary(mixKey)
alias(mixKey)
mixPlan <- planor.design(key=mixKey, select=c(1,1), randomize=~block/UNITS)
# resultats aleatoires: print(getDesign(mixPlan)[1:25,])
## Tests on the designkey class
summary(mixKey[c(1, 1)])
alias(mixKey[c(1, 1)])
mixPlan <- planor.design(key=mixKey, select=c(1,1), randomize=~block/UNITS)
# resultats aleatoires: print(getDesign(mixPlan)[1:25,])
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