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Data:
19064.00 18993.00 18921.00 18772.00 20246.00 20168.00 19064.00 18330.00 18401.00 18401.00 18480.00 18622.00 18843.00 18843.00 18701.00 18330.00 20246.00 20538.00 20097.00 19064.00 19506.00 18843.00 19142.00 19285.00 19434.00 19064.00 19142.00 18622.00 20246.00 20759.00 20318.00 19506.00 20389.00 19434.00 20318.00 20246.00 20467.00 19655.00 20538.00 20467.00 21792.00 21493.00 20318.00 19726.00 20538.00 19434.00 20246.00 20389.00 20688.00 20026.00 20389.00 20610.00 21422.00 20759.00 19876.00 18921.00 19805.00 17375.00 18551.00 19213.00 19876.00 18921.00 18921.00 18921.00 19434.00 18701.00 17739.00 16934.00 17518.00 15238.00 16635.00 17447.00 17596.00 16784.00 16855.00 16635.00 17375.00 16855.00 15830.00 15089.00 16342.00 13621.00 15388.00 16193.00 16193.00 15238.00 14355.00 14284.00 15089.00 14355.00 12959.00 11997.00 13030.00 10601.00 12809.00 13984.00 14355.00 13543.00 12517.00 13251.00 13543.00 13322.00 11113.00 10088.00 10821.00 8613.00 10893.00 11705.00 12367.00 11263.00 10230.00 10821.00 11113.00 10529.00 8321.00 7359.00 8242.00 5813.00 8463.00 10088.00
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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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