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Data:
5.06 5.05 5.05 5.04 5.06 5.07 5.09 5.08 5.09 5.09 5.09 5.1 5.12 5.14 5.14 5.14 5.13 5.15 5.16 5.17 5.17 5.18 5.21 5.19 5.22 5.24 5.21 5.24 5.28 5.3 5.32 5.32 5.29 5.3 5.32 5.31 5.35 5.36 5.33 5.35 5.35 5.35 5.37 5.39 5.4 5.39 5.4 5.4 5.4 5.38 5.32 5.36 5.35 5.39 5.4 5.41 5.36 5.38 5.41 5.35 5.4 5.41 5.42 5.41 5.41 5.42 5.4 5.42 5.41 5.34 5.46 5.45 5.47 5.48 5.43 5.5 5.51 5.51 5.52 5.55 5.55 5.48 5.61 5.59 5.68 5.71 5.68 5.7 5.76 5.78 5.77 5.85 5.82 5.84 5.89 5.84
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R Code
par3 <- '0.1' par2 <- '0.9' par1 <- '0.1' 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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