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Data:
16.68 16.68 16.69 16.61 16.58 16.6 16.6 16.62 16.62 16.6 16.63 16.66 16.66 16.65 16.5 16.39 16.34 16.35 16.35 16.38 16.36 16.38 16.39 16.41 16.41 16.41 16.45 16.41 16.44 16.47 16.47 16.49 16.54 16.62 16.69 16.72 16.72 16.71 16.89 16.93 16.91 16.93 16.93 16.93 16.95 16.93 16.95 16.95 16.95 16.95 16.92 16.91 16.9 16.96 16.96 16.95 16.92 16.87 16.87 16.88 16.88 16.86 16.88 16.88 16.88 16.88 16.88 16.87 16.92 16.94 17.03 17.02 17.02 17.02 16.99 17.03 16.98 16.89 16.89 16.9 16.89 16.96 16.97 16.97
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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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Computing time
3 seconds
R Server
Big Analytics Cloud Computing Center
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