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###UDesigns_2 start
UDesigns_II<-function(factors){
t0=Sys.time()
n=factors+1
########################
# if(n%%2==0 || n<5){
# return(message("Please provide an odd value of factors (>=5)."))
# }
###################################3
v=choose(n,2)
tri<-matrix(NA,n,n)
k=1
i=1
while(i <n){
for(j in 1:(n-i)){
tri[i,j+i]<-k
k=k+1
}
i=i+1
}
for(l in 1:n){
tri[,l]<-tri[l,]
}
############
required_array=t(apply(tri,1,sort))
########################
reg_col=ncol(required_array)/2
reg_row=n
first_region=required_array[,1:reg_col]
second_region=required_array[,(1+reg_col):(n-1)]
blank_reg=matrix(NA,n,reg_col)
#####################
for(j in 1:reg_row){
if(length(setdiff(first_region[j,],blank_reg[1:j,]))==reg_col){
blank_reg[j,]<-first_region[j,]
}else{
#k=1
for(k in first_region[j,]){
if(k %in% blank_reg[1:j,]){
pos_repeated_element_in_first_region=which(first_region[j,]==k)
same_pos_in_second_reg=pos_repeated_element_in_first_region
now<-first_region[j,pos_repeated_element_in_first_region]
next1<-second_region[j,pos_repeated_element_in_first_region]
first_region[j,pos_repeated_element_in_first_region]<-next1
second_region[j,pos_repeated_element_in_first_region]<-now
}
}
blank_reg[1:j,]<-first_region[1:j,]
}
}
##################
final=cbind(first_region,second_region)
###############
ration_seq=c()
seq=c(1:reg_col)
for(i in 0:(reg_col-1)){
ration_seq<-c(ration_seq,(seq+i)%%reg_col)
}
ration_seq[ration_seq==0]<-reg_col
########################
#ration_seq=ration_seq[-c(1:reg_col)]
ration_seq=matrix(ration_seq,(reg_col),reg_col,byrow=TRUE)
rotation_seq_we_need=((ration_seq[2:nrow(ration_seq),]))
if(n==5){
rotation_seq_we_need=(t(rotation_seq_we_need))
}
###############
f1<-first_region
for(i in 1:nrow((rotation_seq_we_need))){
f1<-rbind(f1,first_region[,rotation_seq_we_need[i,]])
}
#######
f2<-second_region
for(i in 1:nrow(rotation_seq_we_need)){
f2<-rbind(f2,second_region[,rotation_seq_we_need[i,]])
}
#################
final1=cbind(f1,f2)
#######################
ration_seq1=c(ncol(final1):1)
######################final task
final1<-rbind(final1,final1[,ration_seq1])
DD<-Discrete_Discrepancy(final1)
t1=Sys.time()
total_time<-t1-t0
final_list<-list("Uniform design"=final1,"Number of factors"=n-1,"Number of levels"=n*(n-1)/2,"Number of runs"=nrow(final1),"Maximum absolute correlation"=MAC(final1),"Discrete discrepancy measure"=DD[[1]],
"Lower bound of discrete discrepancy deasure"=DD[[2]],"Total system time"=total_time)
return(final_list)
}
###Udesigns_II End
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