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Data:
15.13 15.25 15.33 15.36 15.4 15.4 15.41 15.47 15.54 15.55 15.59 15.65 15.75 15.86 15.89 15.94 15.93 15.95 15.99 15.99 16.06 16.08 16.07 16.11 16.15 16.18 16.3 16.42 16.49 16.5 16.58 16.64 16.66 16.81 16.91 16.92 16.95 17.11 17.16 17.16 17.27 17.34 17.39 17.43 17.45 17.5 17.56 17.65 17.62 17.7 17.72 17.71 17.74 17.75 17.78 17.8 17.86 17.88 17.89 17.94 17.98 18.1 18.14 18.19 18.23 18.24 18.27 18.3 18.34 18.36 18.36 18.4 18.43 18.47 18.56 18.58 18.61 18.61 18.69 18.74 18.75 18.81 18.85 18.88
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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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