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Data:
14.69 20.15 11.78 21.47 17.54 21.47 18.55 14.33 8.78 17.66 19.64 13.25 16.17 9.66 20.45 24.21 19.65 21.33 14.47 16.22 16.66 19.87 14.55 19.41 20.63 9.12 8.36 19.36 25.78 14.66 27.55 22.63 30.33 22.22 11.99 9.47 10.33 15.36 14.99 17.31 18.94 16.54 18.21 11.74 17.41 9.99 21.14 19.70 14.87 19.65 27.65 13.45 20.00 13.47 18.54 20.00 11.47 28.65 24.14 19.87 17.65 13.69 15.47 11.63 10.24 13.54 11.00 19.74 21.25 29.54 11.41 10.87 8.47 12.69 10.14 18.63 22.54 17.65 16.41 17.65 19.87 21.45 22.65 20.69 23.74 20.96 18.35 17.84 20.54 21.63 27.61 19.47 23.52 25.64 19.33 20.64 18.98 15.67 23.74 22.89 24.66 29.40 19.87 17.55 15.94 21.74 23.51 24.84 18.47 21.01 16.74 27.45 19.54 17.74 21.65 24.74 26.89 23.22 20.16 21.88
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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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