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Data:
122.27 124.69 147.56 120.03 136.01 138.16 122.87 112.22 137.35 139.08 139.64 121.12 132.37 130.69 149.41 130.72 139.14 146.55 137.35 122.73 138.97 154.73 143.4 123.88 140.25 142.39 143.81 153.58 144.71 153.84 151.3 121.92 153.05 149.29 118.81 109.19 103.68 106.94 114.43 107.87 103.14 117.02 112.44 95.85 123.86 121.83 121.95 120.34 113.32 117.31 141.69 130.35 127.28 148.1 131.21 120.37 146.91 144.04 141.77 132.15 142.04 149.77 172.31 150.24 163.23 155.92 146.96 134.51 152.83 150.54 150.98 138.82
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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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