Nothing
"samplecube" <-
function(X,pik,order=1,comment=TRUE,method=1)
{
EPS=1e-11
N=length(pik)
if(!is.array(X)) X=array(X,c(N,length(X)/N))
if(method==1)
{
if (length(pik[pik > EPS & pik < (1 - EPS)]) > 0)
pikstar = fastflightcube(X, pik, order, comment)
else {
if (comment)
cat("\nNO FLIGHT PHASE")
pikstar = pik
}
if (length(pikstar[pikstar > EPS & pikstar < (1 - EPS)]) > 0)
pikfin = landingcube(X, pikstar, pik, comment)
else {
if (comment)
cat("\nNO LANDING PHASE")
pikfin = pikstar
}
}
else
{ p=length(X)/length(pik)
pikstar=pik
for(i in 0:(p-1))
{
if (length(pikstar[pikstar > EPS & pikstar < (1 - EPS)]) > 0)
pikstar = fastflightcube(X[,1:(p-i)]/pik*pikstar, pikstar, order, comment)
}
pikfin = pikstar
for(i in 1:N) if(runif(1)<pikfin[i]) pikfin[i]=1
}
if (comment) {
A = X[pik > EPS, ]/pik[pik > EPS]
TOT = t(A) %*% pik[pik > EPS]
EST = t(A) %*% pikfin[pik > EPS]
DEV = 100 * (EST - TOT)/TOT
cat("\n\nQUALITY OF BALANCING\n")
if(is.null(colnames(X))) Vn = as.character(1:length(TOT)) else Vn=colnames(X)
for(i in 1:length(TOT)) if(Vn[i]=="") Vn[i]=as.character(i)
d = data.frame(TOTALS = c(TOT),
HorvitzThompson_estimators = c(EST), Relative_deviation = c(DEV))
rownames(d)<-Vn
print(d)
}
round(pikfin)
}
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