Nothing
OLHDs_2F<-function(levels){
t0<-Sys.time()
v=levels+1
h_mat<-HadamardR::Hadamard_Matrix(v)[-1,-1]
###pos and neg
for(i in 1:ncol(h_mat)){
plus_one<-which(h_mat[,i]==1)
neg_one<-which(h_mat[,i]==-1)
}
converted_mat<-NULL
for(i in 1:ncol(h_mat)){
plus_one<-which(h_mat[,i]==1)
neg_one<-which(h_mat[,i]==-1)
converted_mat<-cbind(converted_mat,c(plus_one,neg_one))
}
#write.table(converted_mat,"clipboard",sep="\t")
pos<-(max(converted_mat)-1)/2
neg<-(max(converted_mat)+1)/2
#############
col<-ncol(converted_mat)
d<-converted_mat
comb<-matrix(1:(col-1),ncol=2,byrow=TRUE)
olhds<-list()
for(i in 1:nrow(comb)){
repeat{
des<-rbind(apply(d[1:pos,c(comb[i,])],2,sample),apply(d[(pos+1):(pos+neg),c(comb[i,])],2,sample))
if(MAC(des)==0 && Maxpro_Measure(des)<0.2){
olhds<-append(olhds,list(des))
break
}
}
}
maxpro<-lapply(olhds,function(mat)Maxpro_Measure(mat))
index<-which(maxpro==min(unlist(maxpro)))
#####################
t1<-Sys.time()
list<-list("OLHD"=olhds[[index]],"Factors"=2,"Runs"=v-1,"Required Time"=t1-t0)
return(list)
}
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