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Data:
103.43 103.49 103.5 103.5 103.5 103.5 103.54 103.71 103.76 103.76 103.76 103.82 105.11 105.58 105.91 105.92 105.92 105.92 105.96 105.98 105.98 105.98 106.01 106.01 106.91 107.11 107.18 107.2 107.35 107.35 107.35 107.52 107.56 107.55 107.6 107.6 110.04 110.27 110.33 110.33 110.33 110.33 110.33 110.35 110.38 110.54 110.54 110.54 110.54 106.74 106.78 106.75 106.75 106.75 106.82 107.08 107.25 107.28 107.28 107.28 108.44 109.33 109.44 109.44 109.45 109.45 109.45 109.45 109.46 109.46 109.46 109.46 110.95 110.95 110.95 110.95 110.95 110.95 110.95 110.95 110.97 110.97 110.97 111
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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
1 seconds
R Server
Big Analytics Cloud Computing Center
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