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Data:
71.83 71.39 73.71 74.13 74.45 74.95 75.09 75.23 76.11 76.64 76.97 78.23 77.15 76.33 70.19 68.42 66.49 63.41 62.92 65.53 65.26 68.25 74.39 78.71 82.15 86.05 89.46 89.32 88.94 93.35 94.72 96.11 104.06 104.11 103.9 110.75 110.82 107.59 96.03 95.69 90.63 75.87 75.57 78.78 74.93 75.85 75.49 76.87 78.18 79.37 80.59 81.18 81.02 82.75 83.63 85.35 90.52 90.66 90.69 92.56 92.87 93.82 96.32 96.03 96.53 102.96 102.38 102.66 106.83 106.5 106.78 108.49 108.77 110.43 110.84 110.52 110.11 109.42 109.06 108.98 108.36 108.11 108.44 107.76 106.27 101.07 100.79 100.97 99.33 99.35 99.23 98.14 98.17 98.48 99 99.19 99.1 100.13 100.07 95.26 94.72 94.25 89.46 88.38 88.57 93.82 93.94 93.92
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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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