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Data:
13953.3 14657.7 16686.2 15232.4 15014.1 16688.6 13969.6 14546.8 16292 15039 17433.8 17798.4 16870.9 16659.3 19620.4 15953.5 17420.9 17647.5 15200.8 15637.3 17124.5 17659.4 17815 16165.6 17416.6 16823.9 19171.2 16806.8 18112.8 18485.5 17668 16324.3 17877.5 20136.7 19307 17776.3 19861.3 18757 19879.3 21068.4 19358 20639.2 20008.1 18150.1 21180.4 20428.9 17241.2 15969.3 14972.4 14488.3 15885.1 14305.3 13891.5 15431.6 14199.3 13542.6 16226.3 16786.1 16034.3 16744.5 15896.5 15781.8 18590.3 17416.8 16983 18829.4 16748.6 16502.8 18616.6 19136.4 19523.9 18970.2 20118.2 20125.4 23117.8 20014.6 22228.5 20819.1 19208.9 19953.3 21041.3 20006.8 21045.1 20496.3 20873.5 21304.2 23137.8 20514.2 21343.5 20967.2 20024.4 19602.7 19804.1 22173.9 21802.6 19452.2
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R Code
par3 <- '0.1' par2 <- '0.99' par1 <- '0.1' 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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