Nothing
require(DoE.wrapper)
## try out all available designs with and without factor names
options(warn=-1)
set.seed(1234)
## design with factor.names and constraint
plan <- Dopt.design(36,factor.names=list(eins=c(100,250),zwei=c(10,30),drei=c(-25,25)),
nlevels=c(4,3,6),
formula=~quad(.),
constraint="!(eins>=200 & zwei==30 & drei==25)")
summary(plan)
design.info(plan)
run.order(plan)
cor(plan)
y <- round(rnorm(36), 4)
r.plan <- add.response(plan, y)
summary(r.plan)
summary(lm(r.plan))
#plan2 <- Dopt.augment(r.plan, m=10)
#cor(plan2)
## design with candidates and constraint
candplan <- expand.grid(eins=c(100,150,200,250),zwei=c(10,20,30),drei=c(-25,-15,-5,5,15,25))
planc <- Dopt.design(36, candplan, formula=~quad(.),
constraint="!(eins>=200 & zwei==30 & drei==25)", center=TRUE)
planc
round(cor(desnum(planc)[,-1]), 4)
## design with blocking without wholeBlockData (i.e. blocked, not splitplot)
planc <- Dopt.design(36, candplan, formula=~quad(.),
constraint="!(eins>=200 & zwei==30 & drei==25)", center=TRUE,
blocks=3)
summary(planc)
round(cor(desnum(planc)[,-1]), 4)
## design with blocking without wholeBlockData (i.e. blocked, not splitplot)
## variable block sizes
planc <- Dopt.design(36, candplan, formula=~quad(.),
constraint="!(eins>=200 & zwei==30 & drei==25)", center=TRUE,
blocks=c(6,6,12,12))
summary(planc)
round(cor(desnum(planc)[,-1]), 4)
## design with blocking with wholeBlockData (splitplot)
within<-expand.grid(A=c(-1,0,1),B=c(-1,0,1),C=c(-1,0,1))
whole<-expand.grid(D=factor(1:3),E=factor(1:3))
planc <- Dopt.design(54, within, formula=~D+E*(quad(A,B,C)),
center=TRUE,
blocks=rep(6,9), wholeBlockData=whole)
summary(planc)
whole <- data.frame(semester=1:3,reader=c(1,2,1))
planc <- Dopt.design(36, candplan, formula=~semester+reader+(eins+zwei+drei)^2,center=TRUE,
constraint="!(eins>=200 & zwei==30 & drei==25)",
blocks=c(12,12,12), wholeBlockData=whole)
summary(planc)
round(cor(desnum(planc)[,-1]), 4)
r.planc <- add.response(planc, rnorm(36))
summary(lm(r.planc))
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