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Data:
100.34 100.21 100.44 101.59 102.44 103.1 103.34 103.44 103.35 103.67 104.13 104.27 104.75 104.82 104.69 104.87 104.74 104.85 104.8 104.13 104.02 104.46 105.58 106.94 108.41 109.05 108.75 108.96 108.46 107.51 107.27 106.72 108.94 112.02 112.46 113.56 113.64 114.13 116.44 117.71 117.57 117.25 117.33 117.36 117.18 117.21 117.44 117.54 119.07 118.5 118.69 118.38 118.45 117.88 118.52 118.26 118.39 117.87 118.36 117.91
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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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