Nothing
UDesigns_I<-function(levels,type){
t0=Sys.time()
factors<-NULL
for(i in 3:as.integer(levels/2)){
if(levels%%i==0){
factors<-c(i,levels/i)
p<-factors[1]
q<-factors[2]
break
}
}
#########
################################
v=p*q
scheme<-matrix(1:v,p,q,byrow=TRUE)
if(type=="Good"){
rectangular_scheme<-list()
for(i in 1:v){
row_pos<-which(scheme==i,arr.ind = TRUE)[1,1]
col_pos<-which(scheme==i,arr.ind = TRUE)[1,2]
third_AS<-t(t(c(scheme[-row_pos,-col_pos])))
rectangular_scheme<-append(rectangular_scheme,list(third_AS))
}
now_the_scheme<-rectangular_scheme
}
###################
#Scheme="GD"
if(type=="Excellent"){
GD_scheme<-list()
for(i in 1:v){
row_pos<-which(scheme==i,arr.ind = TRUE)[1,1]
#col_pos<-which(scheme==i,arr.ind = TRUE)[1,2]
second_AS<-t(t(c(scheme[-row_pos,])))
GD_scheme<-append(GD_scheme,list(second_AS))
}
now_the_scheme<-GD_scheme
}
###########
list_maker <- function(element, length) {
result <- list()
for (i in 1:length) {
column_vector <- rep(i, element)
result[[i]] <- t(t(column_vector))
}
return(result)
}
list2<-list_maker(length(now_the_scheme[[1]]),length(now_the_scheme))
repeat{
design<-cbind(unlist(list2),unlist(now_the_scheme[c(sample(1:v,v,FALSE))]))
minimum_abs_cor<-(min(cor(design)))
if(minimum_abs_cor==0){
colnames(design)<-NULL
t1=Sys.time()
total_time=t1-t0
final_list<-list("Uniform design"=design,"Number of factors"=2,"Number of levels"=v,"Number of runs"=nrow(design),"Maximum absolute correlation"=abs(minimum_abs_cor),"Discrete discrepancy measure"=Discrete_Discrepancy(design)$`Discrete Discrepancy Measure`,
"Lower bound of discrete discrepancy Measure"=Discrete_Discrepancy(design)$`Lower Bound of Discrete Discrepancy Measure`,"Total system time"=total_time)
return(final_list)
}
}
}
##########end UDesigns_I
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