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Data:
4.35 12.7 18.1 17.85 17.1 19.1 16.1 13.35 18.4 14.7 10.6 12.6 16.2 13.6 14.1 14.5 16.15 14.75 14.8 12.45 12.65 17.35 8.6 18.4 16.1 17.75 15.25 17.65 15.6 16.35 17.65 13.6 11.7 14.35 14.75 18.25 9.9 16 18.25 16.85 18.95 15.6 17.1 16.1 15.4 15.4 13.35 19.1 7.6 19.1 14.75 19.25 13.6 12.75 9.85 15.25 11.9 16.35 12.4 14.35 18.15 17.75 12.35 15.6 19.3 17.1 18.4 19.05 18.55 19.1 12.85 9.5 4.5 13.6 11.7 13.35 17.75 17.6 14.05 16.1 13.35 11.85 11.95 13.2 7.7 14.6
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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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