Nothing
"HazardHistogram"<- function(xin, xout, cens, bin)
{
MinX<-0.1#min(xin)
MaxX<- 3#max(xin)#max(xin)
N<-length(xin)
nn<-length(xout)
#n<-length(xout)
#Delta<-(MaxX-MinX)/n
#cat(Delta)
n<-(MaxX - MinX)/bin
PartInt<-c(MinX, MinX+(1:n)*bin) #Partion the interval (x[1], x[n]) into subintervals
iRows = length(PartInt)
MatOut<-matrix(ncol=2, nrow=iRows )
MatOut[,1]<-PartInt
ordxin<-sort(xin)
ordcens<-cens[order(xin)]
indexequals1<-which(ordcens == 1)
xinnocens<- xin[indexequals1] # X_i for which \delta_i=1
fizero<-sapply(1:iRows , function(i, xinnocens, PartInt) length(which(xinnocens >= PartInt[i] & xinnocens < PartInt[i+1])),xinnocens, PartInt) #crete the bin counts
fi<-sapply(1:iRows , function(i, xin, PartInt) length(which(xin >= PartInt[i] & xin < PartInt[i+1])),xin, PartInt)
MatOut[,2]<-fizero/(bin*cumsum(fi)+1)
MatOut
}
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