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Data:
101.81 101.72 101.78 102.04 102.36 102.56 102.69 102.77 102.85 102.9 102.72 102.79 102.9 102.91 103.29 103.35 102.97 103.05 103.18 103.21 103.32 103.31 103.6 103.68 103.77 103.82 103.86 103.9 103.63 103.65 103.7 103.77 103.94 104.03 104.03 104.29 104.35 104.67 104.73 104.86 104.05 104.15 104.27 104.33 104.41 104.4 104.41 104.6 104.61 104.65 104.55 104.51 104.74 104.89 104.91 104.93 104.95 104.97 105.16 105.29 105.35 105.36 105.45 105.3 105.73 105.86 105.85 105.95 105.97 106.15 105.37 105.39
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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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