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Data:
3167956.00 3001753.00 3571343.00 3990145.00 4472259.00 4487988.00 5021544.00 4877589.00 4563348.00 4452338.00 3535989.00 3454304.00 3331523.00 3213977.00 3896807.00 4121803.00 4566599.00 4529566.00 5172312.00 5121598.00 4713449.00 4656638.00 3647578.00 3545823.00 3388686.00 3348700.00 3973721.00 4156519.00 4713826.00 4704148.00 5175950.00 5025767.00 4600637.00 4560314.00 3443549.00 3333873.00 3072606.00 2891262.00 3390581.00 3888685.00 4173577.00 4130139.00 4851476.00 4811406.00 4322719.00 4274814.00 3355439.00 3293039.00 3114971.00 3049444.00 3697355.00 3213665.00 4447089.00 4442139.00 5119203.00 5058056.00 4623783.00 4666071.00 3719403.00 3440349.00 3466587.00 3251624.00 3921482.00 4466794.00 4916693.00 4939490.00 5627276.00 5540569.00 5128892.00 5024163.00 3807138.00 3777434.00 3675761.00 3552136.00 4177498.00 4568847.00 5027940.00 5078079.00 5759003.00 5671424.00 5239374.00 5100023.00 3944666.00 3858569.00 3670053.00 3563751.00 4341934.00 4779391.00 5440427.00 5404974.00 5934128.00 5942981.00 5477811.00 5288928.00 4099344.00 4103791.00
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R Code
par1 <- as(par1,'numeric') par2 <- as(par2,'numeric') par3 <- as(par3,'numeric') library(Hmisc) myseq <- seq(par1, par2, par3) hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE) bitmap(file='test1.png') plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'quantiles',header=TRUE) a<-table.element(a,'value',header=TRUE) a<-table.element(a,'standard error',header=TRUE) a<-table.row.end(a) length(hd) for (i in 1:length(hd)) { a<-table.row.start(a) a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE) a<-table.element(a,as.matrix(hd[i])[1,1]) a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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