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Data:
110.12 112.28 113.77 114.38 119.06 119.94 120.98 122.33 121.7 123.73 121.73 119.75 117.4 120.99 125.18 126.41 129.38 131.93 129.34 128.58 125.37 123.25 122.78 120.37 116.83 116.39 120.69 123.51 127.43 125.99 120.62 113.71 110.79 108.15 111.22 112.65 112.47 117.48 122.46 123.46 122.33 129.2 129.22 131.17 120.22 120.38 115.32 112.25 109.83 107.05 112.87 113.68 115.08 120.61 119.14 118.63 115.78 117.26 117.61 113.92 113.65 115.89 116.55 117.78 117.36 121.09 124.26 121.88 119.52 122.49 120.86 120.31
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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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Big Analytics Cloud Computing Center
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