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Data:
100.17 101.13 99.25 99.69 101.04 99.79 100.35 101.45 100.4 100.52 102.52 101.23 102.14 101.06 100.31 101.18 101.28 101.99 101.34 100.5 103.74 104.19 102.23 103.32 104.67 103.22 102.64 105.26 103.63 102.71 104.34 102.92 105.92 107.39 105.68 105.86 107.05 106.77 105.88 106.23 107.53 105.51 107.37 105.61 108.38 109.6 106.62 105.69 107.06 105.67 106.24 107.9 105.91 106.44 107.69 105.9 108.59 111.36 109.36 109.21 111.3 109.21 110.95 110.89 111.04 108.96 110.5 109.02 112.87 112.73 113.28 113.53 112.99 112.68 114.26 114.28 114.28 114.2 113.64 114.2 116.68 116.73 118.71 117.8
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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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