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Data:
92.09 93.77 94.44 94.91 94.78 94.51 94.36 96.6 96.72 96.71 97.44 97.83 98.92 97.98 98.76 99.76 99.87 100.09 100.07 99.46 100.4 101.25 102.29 102.1 105.91 108.95 110.07 109.92 109.87 110.54 110.79 110.32 110.76 110.24 110.27 110.11 110.39 111.05 110.85 110.24 108.7 109.93 109.53 109.83 107.86 104.61 103.61 103.11 102.59 102.91 101.94 101.8 102.25 102.6 102.49 102.13 100.76 100.86 101.12 100.74 99.99 99.39 99.52 99.21 99.38 99.37 99.38 99.26 99.36 99.2 98.53 98.65 99.15 100.17 99.98 100.07 99.94 100.05 99.13 98.74 98.64 98.44 98.81 98.88 99.63 100.08 100.07 100.55 99.98 99.89 99.86 99.61 100.12 100.24 100.1 99.86 97.99 97.57 98.28 97.97 97.99 97.84 97.33 96.7 96.79 96.76 96.23 96.29 96.46 97.23 97.59 97.13 97.37 96.12 96.96 96.7 97 97.15 96.51 96.68
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R Code
par3 <- '0.01' par2 <- '0.99' par1 <- '0.01' 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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